Weiping Jia

Active 2002–2026

239
Papers
39,076
Citations
99
h-index
224
i10-index

Citations

Citations per year for Weiping Jia1987: 1 citations1990: 2 citations1991: 1 citations2001: 1 citations2002: 1 citations2003: 2 citations2004: 9 citations2005: 7 citations2006: 9 citations2007: 14 citations2008: 20 citations2009: 42 citations2010: 110 citations2011: 169 citations2012: 167 citations2013: 257 citations2014: 249 citations2015: 297 citations2016: 289 citations2017: 273 citations2018: 368 citations2019: 1,323 citations2020: 1,741 citations2021: 1,768 citations2022: 1,730 citations2023: 1,481 citations2024: 2,511 citations2025: 1,696 citations2026: 150 citations1988–1989: no citations, so these years are not shown1992–2000: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 5,654 citing papers, 28.2% of this breakdownUnited States: 3,328 citing papers, 16.6% of this breakdownUnited Kingdom: 1,072 citing papers, 5.4% of this breakdownAustralia: 582 citing papers, 2.9% of this breakdownItaly: 580 citing papers, 2.9% of this breakdownGermany: 573 citing papers, 2.9% of this breakdownIndia: 507 citing papers, 2.5% of this breakdownCanada: 476 citing papers, 2.4% of this breakdownHong Kong: 459 citing papers, 2.3% of this breakdownSouth Korea: 429 citing papers, 2.1% of this breakdownJapan: 427 citing papers, 2.1% of this breakdownSpain: 389 citing papers, 1.9% of this breakdown
0%28.2%Other 27.8%

Fields

  • Medicine60.1%
  • Biochemistry, Genetics and Molecular Biology28.1%
  • Computer Science2.3%
  • Nursing1.4%
  • Neuroscience1.4%
  • Immunology and Microbiology1.4%
  • Other5.3%

Topics

  • Diabetes Management and Research5.3%
  • Gut microbiota and health3.9%
  • Pancreatic function and diabetes3.4%
  • Liver Disease Diagnosis and Treatment3.2%
  • Diabetes, Cardiovascular Risks, and Lipoproteins3%
  • Diabetes and associated disorders2.9%
  • Other78.3%

Coauthors

All papers

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  1. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Helen R. Murphy, Revital Nimri, Kirsten Nørgaard, Christopher G. Parkin, Éric Renard, David Rodbard, Banshi Saboo, Desmond Schatz, Keaton Stoner, Tatsuiko Urakami, Stuart A. Weinzimer, Moshe Phillip - Diabetes Care 2019 cited by 3,797

  2. Bile acid–microbiota crosstalk in gastrointestinal inflammation and carcinogenesis

    Authors: , , - Nature Reviews Gastroenterology & Hepatology 2017 cited by 1,863

  3. A deep learning system for detecting diabetic retinopathy across the disease spectrum

    Authors: , , , , , , , , , , , , , , , , , , , - Nature Communications 2021 cited by 591

  4. Low-dose metformin targets the lysosomal AMPK pathway through PEN2

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Zhiyun Ye, Hai‐long Piao, Xianming Deng, Chen‐Song Zhang, Sheng‐Cai Lin, Chen‐Song Zhang, Chen‐Song Zhang, Sheng‐Cai Lin, Sheng‐Cai Lin - Nature 2022 cited by 634

  5. A deep learning system for predicting time to progression of diabetic retinopathy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Lei Ruan, Feng Lu, Miao-Li Chee, Ten Cheer Quek, Ramyaa Srinivasan, Rajiv Raman, Xiaodong Sun, Ya Xing Wang, Jiarui Wu, Hai Jin, Rongping Dai, Dinggang Shen, Xiaokang Yang, Minyi Guo, Cuntai Zhang, Carol Y. Cheung, Gavin Siew Wei Tan, Yih Chung Tham, Ching‐Yu Cheng, Huating Li, Tien Yin Wong, Weiping Jia - Nature Medicine 2024 cited by 302

  6. International Consensus on Use of Continuous Glucose Monitoring

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mauro Scharf, William V. Tamborlane, Stuart A. Weinzimer, Moshe Phillip - Diabetes Care 2017 cited by 2,026

  7. Hyodeoxycholic acid alleviates non-alcoholic fatty liver disease through modulating the gut-liver axis

    Authors: , , , , , , , , , , , , , , , , , , , , - Cell Metabolism 2023 cited by 287

  8. Hyocholic acid species improve glucose homeostasis through a distinct TGR5 and FXR signaling mechanism

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Cell Metabolism 2020 cited by 441

  9. Artificial intelligence in diabetes management: Advancements, opportunities, and challenges

    Authors: , , , , , , , , , , , , , , , , - Cell Reports Medicine 2023 cited by 267

  10. Exosomes derived from atorvastatin-pretreated MSC accelerate diabetic wound repair by enhancing angiogenesis via AKT/eNOS pathway

    Authors: , , , , , , - Stem Cell Research & Therapy 2020 cited by 382

  11. DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , - Patterns 2022 cited by 192

  12. Integrated image-based deep learning and language models for primary diabetes care

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Simon Szeto, Peranut Chotcomwongse, Rachid Malek, Nargiza Normatova, Nilufar Ibragimova, Ramyaa Srinivasan, Pingting Zhong, Wenyong Huang, Chenxin Deng, Lei Ruan, Cuntai Zhang, Chenxi Zhang, Yan Zhou, Chan Wu, Rongping Dai, Sky Wei Chee Koh, Adina Abdullah, Nicholas Ken Yoong Hee, Hong Chang Tan, Zhong Hong Liew, Carolyn Shan‐Yeu Tien, Shih Ling Kao, Amanda Yuan Ling Lim, Shao Feng Mok, Lina Sun, Jing Gu, Liang Wu, Tingyao Li, Di Cheng, Zheyuan Wang, Yiming Qin, Ling Dai, Ziyao Meng, Jia Shu, Yuwei Lu, Nan Jiang, Tingting Hu, Shan Huang, Gengyou Huang, Shujie Yu, Dan Liu, Weizhi Ma, Minyi Guo, Xinping Guan, Xiaokang Yang, Covadonga Bascarán, Charles R Cleland, Yuqian Bao, Elif I. Ekinci, Alicia J. Jenkins, Juliana C.N. Chan, Yong Mong Bee, Sobha Sivaprasad, Jonathan E. Shaw, Rafael Simó, Pearse A. Keane, Ching‐Yu Cheng, Gavin Siew Wei Tan, Weiping Jia, Yih Chung Tham, Huating Li, Bin Sheng, Tien Yin Wong - Nature Medicine 2024 cited by 205

  13. Resistant starch decreases intrahepatic triglycerides in patients with NAFLD via gut microbiome alterations

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Cell Metabolism 2023 cited by 191

  14. Resistant starch intake facilitates weight loss in humans by reshaping the gut microbiota

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Metabolism 2024 cited by 205

  15. Standards of medical care for type 2 diabetes in China 2019

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , - Diabetes/Metabolism Research and Reviews 2019 cited by 763

  16. DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Bin Sheng - Patterns 2024 cited by 73

  17. Diabetes in Asia

    Authors: , , , , , , - JAMA 2009 cited by 2,017

  18. Gut microbiota-bile acid crosstalk contributes to the rebound weight gain after calorie restriction in mice

    Authors: , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2022 cited by 173

  19. Risk assessment with gut microbiome and metabolite markers in NAFLD development

    Authors: , , , , , , , , , , , , , , , , - Science Translational Medicine 2022 cited by 149

  20. Association of MAFLD With Diabetes, Chronic Kidney Disease, and Cardiovascular Disease: A 4.6-Year Cohort Study in China

    Authors: , , , , , , , , , - The Journal of Clinical Endocrinology & Metabolism 2021 cited by 187

  21. Ultrasensitive sensors reveal the spatiotemporal landscape of lactate metabolism in physiology and disease

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , - Cell Metabolism 2022 cited by 132

  22. Artificial intelligence for diabetes care: current and future prospects

    Authors: , , , , , , , , , , , , , , , , , , - The Lancet Diabetes & Endocrinology 2024 cited by 90

  23. Association of Time in Range, as Assessed by Continuous Glucose Monitoring, With Diabetic Retinopathy in Type 2 Diabetes

    Authors: , , , , , , , , , , - Diabetes Care 2018 cited by 511

  24. The metabolic ER stress sensor IRE1α suppresses alternative activation of macrophages and impairs energy expenditure in obesity

    Authors: , , , , , , , , , , , , , , , , , , , , , - Nature Immunology 2017 cited by 368