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Nigam H. Shah

Active 1988–2026

Also published as
Nigam H Shah
275
Papers
29,999
Citations
79
h-index
217
i10-index

Citations

Citations per year for Nigam H. Shah1959: 1 citations1960: 1 citations1968: 2 citations1970: 1 citations1972: 1 citations1976: 6 citations1977: 3 citations1979: 1 citations1980: 1 citations1981: 1 citations1983: 1 citations1985: 1 citations1988: 8 citations1992: 1 citations1994: 1 citations1995: 2 citations1996: 1 citations1997: 1 citations1999: 1 citations2000: 1 citations2001: 5 citations2003: 6 citations2004: 9 citations2005: 10 citations2006: 18 citations2007: 21 citations2008: 95 citations2009: 141 citations2010: 218 citations2011: 300 citations2012: 382 citations2013: 455 citations2014: 515 citations2015: 519 citations2016: 501 citations2017: 598 citations2018: 615 citations2019: 1,077 citations2020: 1,452 citations2021: 1,607 citations2022: 1,239 citations2023: 1,139 citations2024: 1,823 citations2025: 1,674 citations2026: 447 citations2027: 2 citations1961–1967: no citations, so these years are not shown1969: no citations, so this year is not shown1971: no citations, so this year is not shown1973–1975: no citations, so these years are not shown1978: no citations, so this year is not shown1982: no citations, so this year is not shown1984: no citations, so this year is not shown1986–1987: no citations, so these years are not shown1989–1991: no citations, so these years are not shown1993: no citations, so this year is not shown1998: no citations, so this year is not shown2002: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,692 citing papers, 29.6% of this breakdownUnited Kingdom: 1,567 citing papers, 8.1% of this breakdownChina: 1,256 citing papers, 6.5% of this breakdownGermany: 1,016 citing papers, 5.3% of this breakdownCanada: 844 citing papers, 4.4% of this breakdownFrance: 622 citing papers, 3.2% of this breakdownAustralia: 613 citing papers, 3.2% of this breakdownItaly: 597 citing papers, 3.1% of this breakdownNetherlands: 531 citing papers, 2.8% of this breakdownSpain: 512 citing papers, 2.7% of this breakdownIndia: 426 citing papers, 2.2% of this breakdownSwitzerland: 399 citing papers, 2.1% of this breakdown
0%29.6%Other 26.8%

Institutions

Fields

  • Medicine36%
  • Biochemistry, Genetics and Molecular Biology23.4%
  • Computer Science22.8%
  • Health Professions4%
  • Pharmacology, Toxicology and Pharmaceutics2.9%
  • Psychology1.6%
  • Other9.3%

Topics

  • Biomedical Text Mining and Ontologies8.7%
  • Machine Learning in Healthcare6.4%
  • Artificial Intelligence in Healthcare and Education6.1%
  • Semantic Web and Ontologies4.6%
  • Bioinformatics and Genomic Networks3%
  • Topic Modeling2.9%
  • Other68.3%

Coauthors

All papers

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  1. Scalable and accurate deep learning with electronic health records

    Authors: Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Gregory S. Corrado, Jeffrey Dean - npj Digital Medicine, npj Digit. Medicine 2018 cited by 2,409

  2. Toward expert-level medical question answering with large language models

    Authors: K. K. Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Mohamed Amin, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Qazi Mamunur Rashid, Mike Schaekermann, Amy Wang, Dev Dash, Jonathan H. Chen, Nigam H. Shah, Sami Lachgar, P. Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomašev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joëlle Barral, Dale R. Webster, Greg S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan - Nature Medicine 2025 cited by 725

  3. Implementing Machine Learning in Health Care — Addressing Ethical Challenges

    Authors: Danton Char, Nigam H. Shah, David Magnus - New England Journal of Medicine 2018 cited by 1,631

  4. Creation and Adoption of Large Language Models in Medicine

    Authors: Nigam H. Shah, David A. Entwistle, Michael A. Pfeffer - JAMA 2023 cited by 406

  5. The shaky foundations of large language models and foundation models for electronic health records

    Authors: Michael Wornow, Yizhe Xu, Rahul Thapa, Birju S. Patel, Ethan Steinberg, Scott L. Fleming, Michael A. Pfeffer, Jason Alan Fries, Nigam H. Shah - npj Digital Medicine, npj Digit. Medicine 2023 cited by 283

  6. Testing and Evaluation of Health Care Applications of Large Language Models

    Authors: Suhana Bedi, Yutong Liu, Lucy Orr-Ewing, Dev Dash, Oluwasanmi Koyejo, Alison Callahan, Jason Fries, Michael Wornow, Akshay Swaminathan, Lisa Soleymani Lehmann, Hyo Jung Hong, Mehr Kashyap, Akash Chaurasia, Nirav R. Shah, Karandeep Singh, Troy Tazbaz, Arnold Milstein, Michael A. Pfeffer, Nigam H. Shah, Nigam H. Shah, Nigam H. Shah - JAMA 2024 cited by 442

  7. Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers

    Authors: George Hripcsak, Jon D. Duke, Nigam H. Shah, Christian G. Reich, Vojtech Huser, Martijn J. Schuemie, Marc A. Suchard, Rae Woong Park, Ian Chi Kei Wong, Peter R. Rijnbeek, Johan van der Lei, Nicole Pratt, G. Niklas Norén, Yu-Chuan Li, Paul E. Stang, David Madigan, Patrick B. Ryan - Studies in health technology and informatics, MedInfo 2015 cited by 1,159

  8. Ethical and regulatory challenges of large language models in medicine

    Authors: Jasmine Chiat Ling Ong, Yin‐Hsi Chang, William Wasswa, Atul J. Butte, Nigam H. Shah, Lita Chew, Nan Liu, Finale Doshi‐Velez, Wei Lü, Julian Savulescu, Daniel Shu Wei Ting - The Lancet Digital Health 2024 cited by 277

  9. MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care

    Authors: Tina Hernandez-Boussard, Selen Bozkurt, John P. A. Ioannidis, Nigam H. Shah - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2020 cited by 385

  10. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration

    Authors: Barry Smith, Michael Ashburner, Cornelius Rosse, Jonathan Bard, William Bug, Werner Ceusters, Louis J. Goldberg, Karen Eilbeck, Amelia Ireland, Chris Mungall, Neocles B. Leontis, Philippe Rocca‐Serra, Alan Ruttenberg, Susanna‐Assunta Sansone, Richard H. Scheuermann, Nigam H. Shah, Patricia L. Whetzel, Suzanna Lewis - Nature Biotechnology 2007 cited by 2,620

  11. A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

    Authors: Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose, Nigam H. Shah, Marzyeh Ghassemi, Robert Golub, Charles E. Kahn, Andre Esteva, Alan Karthikesalingam, Bilal A. Mateen, Dale R. Webster, Dan Miléa, Daniel Shu Wei Ting, Darren Treanor, Dominic Cushnan, Dominic King, Duncan McPherson, Ben Glocker, Felix Greaves, Leanne Harling, Johan Ordish, Jérémie F. Cohen, Jonathan J Deeks, Mariska Leeflang, Matthew C. Diamond, Matthew D. F. McInnes, Melissa D. McCradden, Michael D. Abràmoff, Pasha Normahani, Sheraz R. Markar, Stephanie Chang, Xiaoxuan Liu, Susan Mallett, Shravya Shetty, Alastair K. Denniston, Gary S. Collins, David Moher, Penny Whiting, Patrick M. Bossuyt, Ara Darzi - Nature Medicine 2021 cited by 242

  12. MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks

    Authors: Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Michael Wornow, Juan M. Banda, Nikesh Kotecha, Timothy Keyes, Yifan Mai, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju S. Patel, Oluseyi Fayanju, Shreya J. Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Pontes Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle A. Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, François Grolleau, Kameron C. Black, Bethel Mieso, Aydin Zahedivash, Wen-Wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan H. Chen, Emily Alsentzer, Keith E. Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah - ArXiv.org, CoRR 2025 cited by 68

  13. External validation of AI models in health should be replaced with recurring local validation

    Authors: Alexey Youssef, Michael Pencina, Anshul Thakur, Tingting Zhu, David A. Clifton, Nigam H. Shah - Nature Medicine 2023 cited by 148

  14. A Nationwide Network of Health AI Assurance Laboratories

    Authors: Nigam H. Shah, John Halamka, Suchi Saria, Michael Pencina, Troy Tazbaz, Micky Tripathi, Alison Callahan, Hailey Hildahl, Brian Anderson - JAMA 2023 cited by 106

  15. BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications

    Authors: Patricia L. Whetzel, Natalya Fridman Noy, Nigam H. Shah, Paul R. Alexander, Csongor Nyulas, Tania Tudorache, Mark A. Musen - Nucleic Acids Research, Nucleic Acids Res. 2011 cited by 799

  16. Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework

    Authors: David B. Larson, David Magnus, Matthew P. Lungren, Nigam H. Shah, Curtis P. Langlotz - Radiology 2020 cited by 186

  17. Language models are an effective representation learning technique for electronic health record data

    Authors: Ethan Steinberg, Kenneth Jung, Jason A. Fries, Conor K. Corbin, Stephen R. Pfohl, Nigam H. Shah - Journal of Biomedical Informatics, J. Biomed. Informatics 2020 cited by 125

  18. To do no harm — and the most good — with AI in health care

    Authors: Carey Beth Goldberg, Laura Adams, David Blumenthal, Patrícia Flatley Brennan, Noah Brown, Atul J. Butte, Morgan Cheatham, Dave deBronkart, Jennifer Dixon, Jeffrey M. Drazen, Barbara J. Evans, Sara M. Hoffman, Chris Holmes, Peter Lee, Arjun K. Manrai, Gilbert S. Omenn, Jonathan B. Perlin, Rachel Ramoni, Guillermo Sapiro, Rupa Sarkar, Harpreet Sood, Effy Vayena, Isaac S. Kohane, Emily Alsentzer, Brian Anderson, Ran D. Balicer, Andrew L. Beam, Erwin P. Böttinger, Rebecca Weintraub Brendel, Payal Chandak, Arnaub K. Chatterjee, Michael E. Chernew, Antoine Duclos, Lee A. Fleisher, William J. Gordon, Elizabeth Healey, Alejandro Hernández-Arango, Michele Kathleen Herndon, Alexander Hoffmann, Edward M. Hundert, Indra Joshi, Tobias Kowatsch, Stephen J. Kraus, Lisa Soleymani Lehmann, Karim Lekadir, Vincent X. Liu, Daniel J. Nigrin, Reut Ohana, Nigam H. Shah, Haris Shuaib, Tania Simoncelli, Amelia L.M. Tan, Donrich Thaldar, Eugene Tunik, Tommy Wang, John Wilbanks, Yuchen Xu, Jianfei Zhao - Nature Medicine 2024 cited by 69

  19. Merlin: A Vision Language Foundation Model for 3D Computed Tomography

    Authors: Louis Blankemeier, Ashwin Kumar, Joseph Cohen, Liu, Jiaming, Liu, Longchao, Dave Van Veen, Syed Jamal Safdar Gardezi, Yu, Hongkun, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Holland, Robbie, César Augusto Madid Truyts, Christian Bluethgen, Wu, Yufu, Lian, Long, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei‐Hung Weng, Edson Amaro, Neera Ahuja, Jason Fries, Nigam H. Shah, Zaharchuk, Greg, Willis, Marc, Yala, Adam, Andrew Johnston, Robert D. Boutin, Andrew L. Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay Chaudhari - arXiv (Cornell University), CoRR 2024 cited by 42

  20. The Impact of Acute Organ Dysfunction on Long-Term Survival in Sepsis*

    Authors: Alejandro Schuler, David A. Wulf, Yun Lu, Theodore J. Iwashyna, Gabriel J. Escobar, Nigam H. Shah, Vincent X. Liu - Critical Care Medicine 2018 cited by 169

  21. Merlin: A Vision Language Foundation Model for 3D Computed Tomography

    Authors: Louis Blankemeier, Joseph Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magda Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, César Augusto Madid Truyts, Christian Blüthgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei‐Hung Weng, Edson Amaro, Neera Ahuja, Jason Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew L. Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay Chaudhari - 2024 cited by 57

  22. What This Computer Needs Is a Physician

    Authors: Abraham Verghese, Nigam H. Shah, Robert A. Harrington - JAMA 2017 cited by 461

  23. Making Machine Learning Models Clinically Useful

    Authors: Nigam H. Shah, Arnold Milstein, Steven C. Bagley - JAMA 2019 cited by 290

  24. Bridging the implementation gap of machine learning in healthcare

    Authors: Martin Seneviratne, Nigam H. Shah, Larry F. Chu - BMJ Innovations 2019 cited by 171