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Hua Tang

Active 1988–2026

398
Papers
48,550
Citations
123
h-index
336
i10-index

Citations

Citations per year for Hua Tang1966: 2 citations1975: 2 citations1991: 1 citations1993: 2 citations1994: 2 citations1995: 1 citations1996: 1 citations1997: 11 citations1998: 11 citations1999: 50 citations2000: 52 citations2001: 58 citations2002: 63 citations2003: 89 citations2004: 157 citations2005: 185 citations2006: 203 citations2007: 200 citations2008: 254 citations2009: 342 citations2010: 346 citations2011: 359 citations2012: 462 citations2013: 492 citations2014: 497 citations2015: 404 citations2016: 398 citations2017: 481 citations2018: 625 citations2019: 1,499 citations2020: 1,681 citations2021: 1,621 citations2022: 1,241 citations2023: 999 citations2024: 1,343 citations2025: 869 citations2026: 77 citations1967–1974: no citations, so these years are not shown1976–1990: no citations, so these years are not shown1992: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,200 citing papers, 23.6% of this breakdownChina: 4,161 citing papers, 18.9% of this breakdownUnited Kingdom: 1,206 citing papers, 5.5% of this breakdownGermany: 817 citing papers, 3.7% of this breakdownCanada: 661 citing papers, 3% of this breakdownFrance: 571 citing papers, 2.6% of this breakdownAustralia: 563 citing papers, 2.6% of this breakdownIndia: 538 citing papers, 2.4% of this breakdownItaly: 516 citing papers, 2.3% of this breakdownJapan: 515 citing papers, 2.3% of this breakdownNetherlands: 428 citing papers, 1.9% of this breakdownSpain: 388 citing papers, 1.8% of this breakdown
0%23.6%Other 29.4%

Institutions

Fields

  • Biochemistry, Genetics and Molecular Biology49.2%
  • Medicine21.2%
  • Immunology and Microbiology7%
  • Neuroscience3.3%
  • Computer Science2.8%
  • Engineering2.7%
  • Other13.8%

Topics

  • Genetic Associations and Epidemiology3.4%
  • MicroRNA in disease regulation2.8%
  • Cancer-related molecular mechanisms research2.8%
  • Circular RNAs in diseases1.9%
  • RNA modifications and cancer1.9%
  • Machine Learning in Bioinformatics1.7%
  • Other85.5%

Coauthors

All papers

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  1. Large-scale genome-wide association study of coronary artery disease in genetically diverse populations

    Authors: Catherine Tcheandjieu, Xiang Zhu, Austin T. Hilliard, Shoa L. Clarke, Valerio Napolioni, Shining Ma, Kyung Min Lee, Huaying Fang, Fei Chen, Yingchang Lu, Noah L. Tsao, Sridharan Raghavan, Satoshi Koyama, Bryan R. Gorman, Marijana Vujković, Derek Klarin, Michael G. Levin, Nasa Sinnott-Armstrong, Genevieve L. Wojcik, Mary E. Plomondon, Thomas M. Maddox, Stephen W. Waldo, Alexander G. Bick, Saiju Pyarajan, Jie Huang, Rebecca J. Song, Yuk‐Lam Ho, Steven Buyske, Charles Kooperberg, Jeffrey Haessler, Ruth J. F. Loos, Ron Do, Marie Verbanck, Kumardeep Chaudhary, Kari E. North, Christy L. Avery, Mariaelisa Graff, Christopher A. Haiman, Loı̈c Le Marchand, Lynne R. Wilkens, Joshua C. Bis, Hampton L. Leonard, Botong Shen, Leslie A. Lange, Ayush Giri, Ozan Dikilitas, Iftikhar J. Kullo, Ian B. Stanaway, Gail P. Jarvik, Allan Gordon, Scott J. Hebbring, Bahram Namjou, Kenneth M. Kaufman, Kaoru Ito, Kazuyoshi Ishigaki, Yoichiro Kamatani, Shefali S. Verma, Marylyn D. Ritchie, Rachel L. Kember, Aris Baras, Luca A. Lotta, Biobank Japan, Million Veteran Program, Sekar Kathiresan, Elizabeth R. Hauser, Donald R. Miller, Jennifer S. Lee, Danish Saleheen, Peter D. Reaven, Kelly Cho, J. Michael Gaziano, Pradeep Natarajan, Jennifer E. Huffman, Benjamin F. Voight, Daniel J. Rader, Kyong‐Mi Chang, Julie A. Lynch, Scott M. Damrauer, Peter W.F. Wilson, Hua Tang, Yan V. Sun, Philip S. Tsao, Christopher J. O’Donnell, Themistocles L. Assimes - Nature Medicine 2022 cited by 353

  2. The Polygenic and Monogenic Basis of Blood Traits and Diseases

    Authors: Dragana Vuckovic, Erik L. Bao, Parsa Akbari, Caleb A. Lareau, Abdou Mousas, Tao Jiang, Ming‐Huei Chen, Laura M. Raffield, Manuel Tardáguila, Jennifer E. Huffman, Scott C. Ritchie, Karyn Mégy, Hannes Ponstingl, Christopher J. Penkett, Patrick K. Albers, Emilie M. Wigdor, Saori Sakaue, Arden Moscati, Regina Manansala, Ken Sin Lo, Huijun Qian, Masato Akiyama, Traci M. Bartz, Yoav Ben‐Shlomo, Andrew D Beswick, Jette Bork‐Jensen, Erwin P. Böttinger, Jennifer A. Brody, Frank J.A. van Rooij, Kumaraswamy Naidu Chitrala, Peter W.F. Wilson, Hélène Choquet, John Danesh, Emanuele Di Angelantonio, Niki Dimou, Jingzhong Ding, Paul Elliott, Tõnu Esko, Michele K. Evans, Stephan B. Felix, James S. Floyd, Linda Broer, Niels Grarup, Michael H. Guo, Qi Guo, Andreas Greinacher, Jeff Haessler, Torben Hansen, Joanna M. M. Howson, Wei Huang, Eric Jorgenson, Tim Kacprowski, Mika Kähönen, Yoichiro Kamatani, Masahiro Kanai, Savita Karthikeyan, Fotios Koskeridis, Leslie A. Lange, Terho Lehtimäki, Allan Linneberg, Yongmei Liu, Leo‐Pekka Lyytikäinen, Ani Manichaikul, Koichi Matsuda, Karen L. Mohlke, Nina Mononen, Yoshinori Murakami, Girish N. Nadkarni, Kjell Nikus, Nathan Pankratz, Oluf Pedersen, Michael Preuß, Bruce M. Psaty, Olli T. Raitakari, Stephen S. Rich, Blanca Rodríguez, Jonathan D. Rosen, Jerome I. Rotter, Petra Schubert, Cassandra N. Spracklen, Praveen Surendran, Hua Tang, Jean‐Claude Tardif, Mohsen Ghanbari, Uwe Völker, Henry Völzke, Nicholas A. Watkins, Stefan Weiß, Na Cai, Kousik Kundu, Stephen B. Watt, Klaudia Walter, Alan B. Zonderman, Kelly Cho, Yun Li, Ruth J. F. Loos, Julian C. Knight, Michel Georges, Oliver Stegle, Εvangelos Εvangelou and 12 more - Cell 2020 cited by 756

  3. Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations

    Authors: Ming‐Huei Chen, Laura M. Raffield, Abdou Mousas, Saori Sakaue, Jennifer E. Huffman, Arden Moscati, Bhavi Trivedi, Tao Jiang, Parsa Akbari, Dragana Vuckovic, Erik L. Bao, Xue Zhong, Regina Manansala, Véronique Laplante, Minhui Chen, Ken Sin Lo, Huijun Qian, Caleb A. Lareau, Mélissa Beaudoin, Karen A. Hunt, Masato Akiyama, Traci M. Bartz, Yoav Ben‐Shlomo, Andrew D Beswick, Jette Bork‐Jensen, Erwin P. Böttinger, Jennifer A. Brody, Frank J.A. van Rooij, Kumaraswamy Naidu Chitrala, Kelly Cho, Hélène Choquet, Adolfo Correa, John Danesh, Emanuele Di Angelantonio, Niki Dimou, Jingzhong Ding, Paul Elliott, Tõnu Esko, Michele K. Evans, James S. Floyd, Linda Broer, Niels Grarup, Michael H. Guo, Andreas Greinacher, Jeff Haessler, Torben Hansen, Joanna M. M. Howson, Qin Huang, Wei Huang, Eric Jorgenson, Tim Kacprowski, Mika Kähönen, Yoichiro Kamatani, Masahiro Kanai, Savita Karthikeyan, Fotis Koskeridis, Leslie A. Lange, Terho Lehtimäki, Markus M. Lerch, Allan Linneberg, Yongmei Liu, Leo‐Pekka Lyytikäinen, Ani Manichaikul, Hilary C. Martin, Koichi Matsuda, Karen L. Mohlke, Nina Mononen, Yoshinori Murakami, Girish N. Nadkarni, Matthias Nauck, Kjell Nikus, Willem H. Ouwehand, Nathan Pankratz, Oluf Pedersen, Michael Preuß, Bruce M. Psaty, Olli T. Raitakari, David J. Roberts, Stephen S. Rich, Blanca Rodríguez, Jonathan D. Rosen, Jerome I. Rotter, Petra Schubert, Cassandra N. Spracklen, Praveen Surendran, Hua Tang, Jean‐Claude Tardif, Richard C. Trembath, Mohsen Ghanbari, Uwe Völker, Henry Völzke, Nicholas A. Watkins, Alan B. Zonderman, Peter W.F. Wilson, Yun Li, Adam S. Butterworth, Jean‐François Gauchat, Charleston W. K. Chiang, Bingshan Li, Ruth J. F. Loos and 10 more - Cell 2020 cited by 748

  4. Predicting Diabetes Mellitus With Machine Learning Techniques

    Authors: Quan Zou, Kaiyang Qu, Yamei Luo, Dehui Yin, Ying Ju, Hua Tang - Frontiers in Genetics 2018 cited by 914

  5. Engineering Large‐Scale Self‐Mineralizing Bone Organoids with Bone Matrix‐Inspired Hydroxyapatite Hybrid Bioinks

    Authors: Jian Wang, Yan Wu, Guangfeng Li, Fengjin Zhou, Xiang Wu, Miaomiao Wang, Xinru Liu, Hua Tang, Long Bai, Zhen Geng, Peiran Song, Zhongmin Shi, Xiaoxiang Ren, Jiacan Su - Advanced Materials 2024 cited by 168

  6. Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

    Authors: Rui Chen, George I. Mias, Jennifer Li‐Pook‐Than, Lihua Jiang, Hugo Y. K. Lam, Rong Chen, Elana Miriami, Konrad J. Karczewski, Manoj Hariharan, Frederick E. Dewey, Yong Cheng, Michael J. Clark, Hogune Im, Lukas Habegger, Suganthi Balasubramanian, Maeve O’Huallachain, Joel T. Dudley, Sara Hillenmeyer, Rajini Haraksingh, Donald Sharon, Ghia Euskirchen, Phil Lacroute, Keith Bettinger, Alan P. Boyle, Maya Kasowski, Fabian Grubert, Scott M. Seki, Marco Garcia, Michelle Whirl‐Carrillo, Mercedes Gallardo, Marı́a A. Blasco, Peter L. Greenberg, Phyllis J. Snyder, Teri E. Klein, Russ B. Altman, Atul J. Butte, Euan A. Ashley, Mark Gerstein, Kari C. Nadeau, Hua Tang, M Snyder - Cell 2012 cited by 1,320

  7. Genomics and phenomics of body mass index reveals a complex disease network

    Authors: Jie Huang, Jennifer E. Huffman, Yunfeng Huang, Ítalo Faria do Valle, Themistocles L. Assimes, Sridharan Raghavan, Benjamin F. Voight, Chang Liu, Albert-Ĺaszló Barabási, Rose D. L. Huang, Qin Hui, Xuan‐Mai T. Nguyen, Yuk‐Lam Ho, Luc Djoussé, Julie A. Lynch, Marijana Vujković, Catherine Tcheandjieu, Hua Tang, Scott M. Damrauer, Peter D. Reaven, Donald R. Miller, Lawrence S. Phillips, Maggie C. Y. Ng, Mariaelisa Graff, Christopher A. Haiman, Ruth J. F. Loos, Kari E. North, Loïc Yengo, George Davey Smith, Danish Saleheen, J. Michael Gaziano, Daniel J. Rader, Philip S. Tsao, Kelly Cho, Kyong‐Mi Chang, Peter W.F. Wilson, VA Million Veteran Program, Yan V. Sun, Christopher J. O’Donnell - Nature Communications 2022 cited by 183

  8. Bone-targeted bioengineered bacterial extracellular vesicles delivering siRNA to ameliorate osteoporosis

    Authors: Han Liu, Hao Zhang, Sicheng Wang, Jin Cui, Weizong Weng, Xinru Liu, Hua Tang, Yan Hu, Xiaoqun Li, Kun Zhang, Fengjin Zhou, Yingying Jing, Jiacan Su - Composites Part B Engineering 2023 cited by 73

  9. Genetics of blood lipids among 300,000 multi-ethnic participants of the Million Veteran Program

    Authors: Derek Klarin, The VA Million Veteran Program, Scott M. Damrauer, Kelly Cho, Yan V. Sun, Tanya M. Teslovich, Jacqueline Honerlaw, David Gagnon, Scott L. DuVall, Jin Li, Gina M. Peloso, Mark Chaffin, Aeron Small, Jie Huang, Hua Tang, Julie A. Lynch, Yuk‐Lam Ho, Dajiang J. Liu, Connor A. Emdin, Alexander Li, Jennifer E. Huffman, Jennifer S. Lee, Pradeep Natarajan, Rajiv Chowdhury, Danish Saleheen, Marijana Vujković, Aris Baras, Saiju Pyarajan, Emanuele Di Angelantonio, Benjamin M. Neale, Aliya Naheed, Amit V. Khera, John Danesh, Kyong‐Mi Chang, Gonçalo R. Abecasis, Cristen J. Willer, Frederick E. Dewey, David J. Carey, John Concato, J. Michael Gaziano, Christopher J. O’Donnell, Philip S. Tsao, Sekar Kathiresan, Daniel J. Rader, Peter W.F. Wilson, Themistocles L. Assimes - Nature Genetics 2018 cited by 709

  10. Manganese induces tumor cell ferroptosis through type-I IFN dependent inhibition of mitochondrial dihydroorotate dehydrogenase

    Authors: Shanlong Zhang, Kang Li, Xiaoxue Dai, Junlan Chen, Zhengtao Chen, Mei‐Xiang Wang, Huantong Jiang, Xin Wang, Suqin Bu, Xinyuan Liu, Guohui Zhang, Hua Tang - Free Radical Biology and Medicine 2022 cited by 90

  11. Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation

    Authors: Jun Z. Li, Devin M. Absher, Hua Tang, Audrey M. Southwick, Amanda M. Casto, Sohini Ramachandran, Howard M. Cann, Gregory S. Barsh, Marcus W. Feldman, Luigi Luca Cavalli-Sforza, R Myers - Science 2008 cited by 2,086

  12. Programming the magnitude and persistence of antibody responses with innate immunity

    Authors: Sudhir Pai Kasturi, Ioanna Skountzou, Randy A. Albrecht, Dimitrios Koutsonanos, Hua Tang, Helder I. Nakaya, Rajesh Ravindran, Shelley Stewart, Munir Alam, Marcin Kwissa, François Villinger, Niren Murthy, John Steel, Joshy Jacob, Robert J. Hogan, Adolfo García‐Sastre, Richard W. Compans, Bali Pulendran - Nature 2011 cited by 979

  13. Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

    Authors: Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2024 cited by 34

  14. Characterizing Race/Ethnicity and Genetic Ancestry for 100,000 Subjects in the Genetic Epidemiology Research on Adult Health and Aging (GERA) Cohort

    Authors: Yambazi Banda, Mark Kvale, Thomas J. Hoffmann, Stephanie Hesselson, Dilrini K. Ranatunga, Hua Tang, Chiara Sabatti, Lisa Croen, Brad Dispensa, Mary Henderson, Carlos Iribarren, Eric Jorgenson, Lawrence H. Kushi, Dana Ludwig, Diane Olberg, Charles P. Quesenberry, Sarah Rowell, Marianne Sadler, Lori C. Sakoda, Stanley Sciortino, Ling Shen, David Smethurst, Carol P. Somkin, Stephen K. Van Den Eeden, Lawrence Walter, Rachel A. Whitmer, Pui–Yan Kwok, Catherine Schaefer, Neil Risch - Genetics 2015 cited by 356

  15. SARS-CoV-2 nucleocapsid protein binds host mRNAs and attenuates stress granules to impair host stress response

    Authors: Syed Nabeel‐Shah, Hyunmin Lee, Nujhat Ahmed, Giovanni L. Burke, Shaghayegh Farhangmehr, Kanwal Ashraf, Shuye Pu, Ulrich Braunschweig, Guoqing Zhong, Hong Wei, Hua Tang, Jianyi Yang, Edyta Marcon, Benjamin J. Blencowe, Zhaolei Zhang, Jack Greenblatt - iScience 2021 cited by 124

  16. A gender specific risk assessment of coronary heart disease based on physical examination data

    Authors: Hui Yang, Yamei Luo, Cai-Yi Ma, Tian-Yu Zhang, Tao Zhou, Xiaolei Ren, Xiaolin He, Kejun Deng, Dan Yan, Hua Tang, Hao Lin - npj Digital Medicine, npj Digit. Medicine 2023 cited by 54

  17. Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators

    Authors: Hui Yang, Yamei Luo, Xiaolei Ren, Ming Wu, Xiaolin He, Bowen Peng, Kejun Deng, Dan Yan, Hua Tang, Hao Lin - Information Fusion, Inf. Fusion 2021 cited by 190

  18. Fabrication of an ionic-sensitive in situ gel loaded with resveratrol nanosuspensions intended for direct nose-to-brain delivery

    Authors: Jifu Hao, Jing Zhao, Shupeng Zhang, Tian‐Tian Tong, Qiannan Zhuang, Kai Jin, Wei Chen, Hua Tang - Colloids and Surfaces B Biointerfaces 2016 cited by 159

  19. Opioid-induced fragile-like regulatory T cells contribute to withdrawal

    Authors: Yongsheng Zhu, Peng Yan, Rui Wang, Jianghua Lai, Hua Tang, Xu Xiao, Rongshan Yu, Xiaorui Bao, Feng Zhu, Kena Wang, Kena Wang, Ye Lu, Jie Dang, Chao Zhu, Rui Zhang, Wei Dang, Bao Zhang, Quanze Fu, Qian Zhang, Chongao Kang, Yujie Chen, Xiaoyu Chen, Qing Liang, Kejia Wang, Kejia Wang - Cell 2023 cited by 69

  20. Ozone oil promotes wound healing by increasing the migration of fibroblasts via PI3K/Akt/mTOR signaling pathway

    Authors: Weirong Xiao, Hua Tang, Meng Wu, Yangying Liao, Ke Li, Lan Li, Xiaopeng Xu - Bioscience Reports 2017 cited by 172

  21. Predicting coronary heart disease in Chinese diabetics using machine learning

    Authors: Cai-Yi Ma, Yamei Luo, Tian-Yu Zhang, Yu-Duo Hao, Xue-Qin Xie, Xiao-Wei Liu, Xiaolei Ren, Xiaolin He, Yu-Mei Han, Ke-Jun Deng, Dan Yan, Hui Yang, Hua Tang, Hao Lin - Computers in Biology and Medicine, Comput. Biol. Medicine 2024 cited by 57

  22. The Importance of Race and Ethnic Background in Biomedical Research and Clinical Practice

    Authors: Esteban G. Burchard, Elad Ziv, Natasha Coyle, Scarlett Lin Gomez, Hua Tang, Andrew J. Karter, Joanna L. Mountain, Eliseo J. Pérez‐Stable, Dean Sheppard, Neil Risch - New England Journal of Medicine 2003 cited by 1,124

  23. Estimation of individual admixture: Analytical and study design considerations

    Authors: Hua Tang, Jie Peng, Pei Wang, Neil Risch - Genetic Epidemiology 2005 cited by 711

  24. Integrative analysis of RNA, translation, and protein levels reveals distinct regulatory variation across humans

    Authors: Can Cenik, Elif Sarinay Cenik, Gun Woo Byeon, Fabian Grubert, Sophie I. Candille, Damek V. Spacek, Bilal Alsallakh, Hagen Tilgner, Carlos L. Araya, Hua Tang, Emiliano P. Ricci, M Snyder - Genome Research 2015 cited by 231