Girish N. Nadkarni

2010–2026 年に発表

別表記
Girish N Nadkarni
333
論文数
29,118
被引用数
84
h 指数
262
i10 指数

被引用数

Girish N. Nadkarni の年別被引用数1900 年: 被引用 2 件1977 年: 被引用 1 件1986 年: 被引用 1 件1988 年: 被引用 1 件2000 年: 被引用 1 件2003 年: 被引用 2 件2005 年: 被引用 1 件2006 年: 被引用 1 件2007 年: 被引用 1 件2009 年: 被引用 2 件2010 年: 被引用 3 件2011 年: 被引用 8 件2012 年: 被引用 11 件2013 年: 被引用 3 件2014 年: 被引用 9 件2015 年: 被引用 12 件2016 年: 被引用 36 件2017 年: 被引用 49 件2018 年: 被引用 94 件2019 年: 被引用 456 件2020 年: 被引用 1,276 件2021 年: 被引用 2,001 件2022 年: 被引用 1,489 件2023 年: 被引用 1,133 件2024 年: 被引用 2,116 件2025 年: 被引用 1,554 件2026 年: 被引用 206 件1901〜1976 年は被引用が無いため表示していません1978〜1985 年は被引用が無いため表示していません1987 年は被引用が無いため表示していません1989〜1999 年は被引用が無いため表示していません2001〜2002 年は被引用が無いため表示していません2004 年は被引用が無いため表示していません2008 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 4,648 件、この内訳の 24.1%イギリス: 引用元論文 1,585 件、この内訳の 8.2%中国: 引用元論文 1,418 件、この内訳の 7.4%ドイツ: 引用元論文 850 件、この内訳の 4.4%イタリア: 引用元論文 766 件、この内訳の 4%カナダ: 引用元論文 762 件、この内訳の 3.9%オランダ: 引用元論文 590 件、この内訳の 3.1%オーストラリア: 引用元論文 576 件、この内訳の 3%スペイン: 引用元論文 507 件、この内訳の 2.6%フランス: 引用元論文 493 件、この内訳の 2.6%スウェーデン: 引用元論文 457 件、この内訳の 2.4%日本: 引用元論文 383 件、この内訳の 2%
0%24.1%その他 32.3%

分野

  • Medicine66.2%
  • Biochemistry, Genetics and Molecular Biology18.8%
  • Computer Science5.8%
  • Health Professions2.1%
  • Immunology and Microbiology1.2%
  • Psychology1%
  • その他4.9%

トピック

  • COVID-19 Clinical Research Studies6.5%
  • Genetic Associations and Epidemiology4.4%
  • Long-Term Effects of COVID-193.5%
  • Chronic Kidney Disease and Diabetes3.2%
  • Artificial Intelligence in Healthcare and Education2.5%
  • Machine Learning in Healthcare2.3%
  • その他77.6%

共著者

全論文

検索で開く
  1. Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Adit Anand, Brett R. Anderson, Lisa Aponte‐Soto, Judy L. Aschner, Mary Atha, Andrew M. Atz, Robin L. Aupperle, Mirna Ayache, Eduardo Azziz‐Baumgartner, L. Charles Bailey, Fiona C. Baker, Venkataraman Balaraman, Jennifer A. Bandy, Dithi Banerjee, Deanna M. Barch, James M. Bardes, Jackson Barlocker, R. Graham Barr, Arielle Baskin–Sommers, Sanjib Basu, Tracy A. Battaglia, Leah Castro Baucom, Carmen Beamon, Casey L. Beaty, Noam D. Beckmann, Jasmine A. Berry, Nahid Bhadelia, Daksh Bhargava, Sultana Bhuiyan, Jiang Bian, Christian Bime, James M. Bjork, Lora Black, Catherine A. Blish, Jason P. Block, Amanda Bogie, Dawn Bolliger, William J. Bonaventura, Seuli Bose‐Brill, Mary Bower, Andrew D. Boyd, Jerusha Boyineni, Steven B. Bradfute, Carolyn T. Bramante, M. Daniel Brannock, J. Douglas Bremner, Shari B. Brosnahan, Natalie C. Buchbinder, Elliott Bueler, Irina A. Buhimschi, Hülya Bükülmez, H. Timothy Bunnell, John B. Buse, Elizabeth A. Calhoun, Tingyi Cao, Michael D. Carrithers, Thomas W. Carton, Abigail Case, B.J. Casey, Faye Victoria C. Casimero, Lauren Castro, Teresa C. Cato, Patricia Ceger, Connie L. Cerullo, Linda Chang, A. Ann Chang, Praneeth Chebrolu, Yong Chen, Long‐Qing Chen, Benjamin K. Chen ほか 725 名 - JAMA 2023 被引用: 848

  2. Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Weihua Zhang, Amanda J. Bennett, Jette Bork‐Jensen, Chad M. Brummett, Mickaël Canouil, Kai-Uwe Ec kardt, Krista Fischer, Sharon L. R. Kardia, Florian Kronenberg, Kristi Läll, Ching‐Ti Liu, Adam E. Locke, Jian’an Luan, Ιωάννα Ντάλλα, Vibe Nylander, Sebastian Schönherr, Claudia Schurmann, Loïc Yengo, Erwin P. Böttinger, Ivan Brandslund, Cramer Christensen, George Dedoussis, José C. Florez, Ian Ford, Oscar H. Franco, Timothy M. Frayling, Vilmantas Giedraitis, Sophie Hackinger, Andrew T. Hattersley, Christian Herder, M. Arfan Ikram, Martin Ingelsson, Marit E. Jørgensen, Torben Jørgensen, Jennifer Kriebel, Johanna Kuusisto, Symen Ligthart, Cecilia M. Lindgren, Allan Linneberg, Valeriya Lyssenko, Vasiliki Mamakou, Thomas Meitinger, Karen L. Mohlke, Andrew D. Morris, Girish N. Nadkarni, James S. Pankow, Annette Peters, Naveed Sattar, Alena Stančáková, Konstantin Strauch, Kent D. Taylor, Barbara Thorand, Guðmar Þorleifsson, Unnur Þorsteinsdóttir, Jaakko Tuomilehto, Daniel R. Witte, Josée Dupuis, Patricia A. Peyser, Eleftheria Zeggini, Ruth J. F. Loos, Philippe Froguel, Erik Ingelsson, Lars Lind, Leif Groop, Markku Laakso, Francis S. Collins, J. Wouter Jukema, Colin N. A. Palmer, Harald Grallert, Andres Metspalu ほか 15 名 - Nature Genetics 2018 被引用: 1,936

  3. Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments

    著者: , , , , , , , - Scientific Reports 2023 被引用: 321

  4. Genetic analyses of diverse populations improves discovery for complex traits

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Alexandra Sockell, Karan Vahi, Marie Verbanck, Abhishek Vishnu, Ryan W. Walker, Kristin L. Young, Niha Zubair, Victor Acuña-Alonso, José Luis Ambite, Kathleen C. Barnes, Eric Boerwinkle, Erwin P. Böttinger, Carlos D. Bustamante, Christian Caberto, Samuel Canizales‐Quinteros, Matthew P. Conomos, Ewa Deelman, Ron Do, Kimberly F. Doheny, Lindsay Fernández‐Rhodes, Myriam Fornage, Benyam Hailu, Gerardo Heiss, Brenna M. Henn, Lucia A. Hindorff, Rebecca D. Jackson, Cecelia Laurie, Cathy C. Laurie, Yuqing Li, Dan-Yu Lin, Andrés Moreno‐Estrada, Girish N. Nadkarni, Paul J. Norman, Loreall Pooler, Alex P. Reiner, Jane Romm, Chiara Sabatti, Karla Sandoval, Xin Sheng, Eli A. Stahl, Daniel O. Stram, Timothy A. Thornton, Christina L. Wassel, Lynne R. Wilkens, Cheryl A. Winkler, Sachi Yoneyama, Steven Buyske, Christopher A. Haiman, Charles Kooperberg, Loı̈c Le Marchand, Ruth J. F. Loos, Tara C. Matise, Kari E. North, Ulrike Peters, Eimear E. Kenny, Christopher S. Carlson - Nature 2019 被引用: 1,151

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 ほか 12 名 - Cell 2020 被引用: 756

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

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 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 ほか 10 名 - Cell 2020 被引用: 748

  7. Deep learning and the electrocardiogram: review of the current state-of-the-art

    著者: , , , , , , , , , , , , - EP Europace 2020 被引用: 254

  8. Large Language Models Are Poor Medical Coders — Benchmarking of Medical Code Querying

    著者: , , , , , , , - NEJM AI 2024 被引用: 122

  9. Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , - JAMA 2016 被引用: 695

  10. Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease

    著者: , , , , , , , , , , , , , , , , - Nature Genetics 2022 被引用: 214

  11. Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice

    著者: , , , , , , - Journal of the American College of Cardiology 2024 被引用: 207

  12. Large Language Models and Empathy: Systematic Review

    著者: , , , , , , - Journal of Medical Internet Research 2024 被引用: 154

  13. A foundational vision transformer improves diagnostic performance for electrocardiograms

    著者: , , , , , , , , , , , - npj Digital Medicine, npj Digit. Medicine 2023 被引用: 102

  14. Conversion of Urine Protein–Creatinine Ratio or Urine Dipstick Protein to Urine Albumin–Creatinine Ratio for Use in Chronic Kidney Disease Screening and Prognosis

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jamie P. Traynor, José Manuel Valdivielso, Jack F.M. Wetzels, Kevan R. Polkinghorne, Hiddo J.L. Heerspink - Annals of Internal Medicine 2020 被引用: 332

  15. Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach

    著者: , , , , , , , , , , , , , , , , , , , , , , - JMIR Medical Informatics 2021 被引用: 211

  16. Genome-wide polygenic score to predict chronic kidney disease across ancestries

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Wendy K. Chung, George Hripcsak, Chunhua Weng, Girish N. Nadkarni, Marguerite R. Irvin, Hemant K. Tiwari, Eimear E. Kenny, Nita A. Limdi, Krzysztof Kiryluk - Nature Medicine 2022 被引用: 162

  17. Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts

    著者: , , , , , , , , , , , - The Lancet 2022 被引用: 162

  18. Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room

    著者: , , , , , , , , , , , - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2024 被引用: 80

  19. Change in albuminuria and subsequent risk of end-stage kidney disease: an individual participant-level consortium meta-analysis of observational studies

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Ron T. Gansevoort, Lawrence J. Appel, Tom Greene, Teresa K. Chen, John Chalmers, Hisatomi Arima, Vlado Perkovic, Adeera Levin, Ognjenka Djurdjev, Mila Tang, Joseph V. Nally, Sankar D. Navaneethan, Jesse D. Schold, Misghina Weldegiorgis, William G. Herrington, Margaret Smith, Chun-Shuo Hsu, Shih‐Jen Hwang, Alex R. Chang, H. Lester Kirchner, Jamie A. Green, Kevin Ho, Angharad Marks, Gordon Prescott, Laura E. Clark, Nick Fluck, Varda Shalev, Gabriel Chodick, Peter J. Blankestijn, Arjan van Zuilen, Jan AJG van den Brand, Mark J. Sarnak, Erwin Böttinger, Girish N. Nadkarni, Stephen G. Ellis, Rajiv Nadukuru, Marie Metzger, Martin Flamant, Pascal Houillier, Jean‐Philippe Haymann, Marc Froissart, Timothy Kenealy, Raina Elley, John Collins, Paul Drury, John K. Cuddeback, Elizabeth L. Ciemins, Rich Stempniewicz, Robert G. Nelson, William C. Knowler, Stephen J. L. Bakker, Rupert Major, James Medcalf, David Shepherd, Elizabeth Barrett‐Connor, Jaclyn Bergstrom, Joachim H. Ix, Miklos Z. Molnar, Keiichi Sumida, Dick de Zeeuw, Barry M. Brenner, Abdul Rashid Qureshi, Carl‐Gustaf Elinder, Björn Runesson, Marie Evans, Mårten Segelmark, Maria Stendahl, Staffan Schön, David Naimark, Navdeep Tangri ほか 38 名 - The Lancet Diabetes & Endocrinology 2019 被引用: 320

  20. Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Lawrence S. Phillips, Patrick T. Ellinor, Girish N. Nadkarni, Marylyn D. Ritchie, Zoltàn Arany, Thomas P. Cappola, Kenneth B. Margulies, Krishna G. Aragam, Christopher M. Haggerty, Jacob Joseph, Yan V. Sun, Benjamin F. Voight, Scott M. Damrauer - Nature Communications 2022 被引用: 146

  21. Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysis

    著者: , , , , , , , - PLoS Medicine 2020 被引用: 297

  22. Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease

    著者: , , , , , , , , , , , , - Diabetologia 2021 被引用: 170

  23. Pathology of Peripheral Artery Disease in Patients With Critical Limb Ischemia

    著者: , , , , , , , , , , , , , - Journal of the American College of Cardiology 2018 被引用: 324

  24. Polygenic prediction of preeclampsia and gestational hypertension

    著者: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Triin Laisk, Pradeep Natarajan - Nature Medicine 2023 被引用: 120