Arjun K. Manrai

7.3k total citations · 3 hit papers
55 papers, 2.3k citations indexed

About

Arjun K. Manrai is a scholar working on Health, Toxicology and Mutagenesis, Genetics and Artificial Intelligence. According to data from OpenAlex, Arjun K. Manrai has authored 55 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 11 papers in Genetics and 10 papers in Artificial Intelligence. Recurrent topics in Arjun K. Manrai's work include Health, Environment, Cognitive Aging (10 papers), Artificial Intelligence in Healthcare and Education (8 papers) and Genetic Associations and Epidemiology (7 papers). Arjun K. Manrai is often cited by papers focused on Health, Environment, Cognitive Aging (10 papers), Artificial Intelligence in Healthcare and Education (8 papers) and Genetic Associations and Epidemiology (7 papers). Arjun K. Manrai collaborates with scholars based in United States, Israel and Canada. Arjun K. Manrai's co-authors include Isaac S. Kohane, Chirag J. Patel, X. Shirley Liu, Tao Liu, Hyunjin Shin, Andrew L. Beam, Marzyeh Ghassemi, David Margulies, Bradley A. Maron and Heidi L. Rehm and has published in prestigious journals such as Science, New England Journal of Medicine and JAMA.

In The Last Decade

Arjun K. Manrai

49 papers receiving 2.2k citations

Hit Papers

Genetic Misdiagnoses and the Potential for Health Dispari... 2016 2026 2019 2022 2016 2020 2024 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genetic Misdiagnoses and the Potential for Health Disparities
    2016 461 citations Arjun K. Manrai, Birgit Funke et al. New England Journal of Medicine profile →
  2. Challenges to the Reproducibility of Machine Learning Models in Health Care
    2020 215 citations Andrew L. Beam, Arjun K. Manrai et al. JAMA profile →
  3. Projected Changes in Statin and Antihypertensive Therapy Eligibility With the AHA PREVENT Cardiovascular Risk Equations
    2024 41 citations James A. Diao, Venkatesh L. Murthy et al. JAMA profile →

Peers

Arjun K. Manrai
Wei‐Qi Wei United States
Luke V. Rasmussen United States
Melissa Basford United States
Degui Zhi United States
Jennifer A. Pacheco United States
Suzette J. Bielinski United States
Euijung Ryu United States
Juliet A. Usher‐Smith United Kingdom
Vivian S. Gainer United States
Simon Lin United States
Wei‐Qi Wei United States
Arjun K. Manrai
Citations per year, relative to Arjun K. Manrai Arjun K. Manrai (= 1×) peers Wei‐Qi Wei

Countries citing papers authored by Arjun K. Manrai

Since Specialization
Citations

This map shows the geographic impact of Arjun K. Manrai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arjun K. Manrai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun K. Manrai more than expected).

Fields of papers citing papers by Arjun K. Manrai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjun K. Manrai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arjun K. Manrai. The network helps show where Arjun K. Manrai may publish in the future.

Co-authorship network of co-authors of Arjun K. Manrai

This figure shows the co-authorship network connecting the top 25 collaborators of Arjun K. Manrai. A scholar is included among the top collaborators of Arjun K. Manrai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arjun K. Manrai. Arjun K. Manrai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Diao, James A., et al.. (2025). Public Opinion on Use of Race in Clinical Algorithms. JAMA Internal Medicine. 186(2). 266–266.
2.
McCoy, Liam G., Stephen Bacchi, Nigel CK Tan, et al.. (2025). Assessment of Large Language Models in Clinical Reasoning: A Novel Benchmarking Study. NEJM AI. 2(10). 3 indexed citations
3.
Manrai, Arjun K., David Ouyang, Joseph W. Hogan, & Isaac S. Kohane. (2025). Accelerating Science with Human+AI Review. NEJM AI. 2(12). 4 indexed citations
4.
Rodman, Adam, Laura Zwaan, Andrew Olson, & Arjun K. Manrai. (2025). When It Comes to Benchmarks, Humans Are the Only Way. NEJM AI. 2(4). 8 indexed citations
5.
Buckley, Thomas A., Byron Crowe, Raja-Elie E. Abdulnour, Adam Rodman, & Arjun K. Manrai. (2025). Comparison of Frontier Open-Source and Proprietary Large Language Models for Complex Diagnoses. JAMA Health Forum. 6(3). e250040–e250040. 5 indexed citations
6.
Diao, James A., Rishi K. Wadhera, & Arjun K. Manrai. (2025). Statins for Primary Prevention of Cardiovascular Disease—Reply. JAMA. 333(10). 909–909.
7.
Diao, James A., Venkatesh L. Murthy, Thomas A. Buckley, et al.. (2024). Projected Changes in Statin and Antihypertensive Therapy Eligibility With the AHA PREVENT Cardiovascular Risk Equations. JAMA. 332(12). 989–989. 41 indexed citations breakdown →
8.
Chung, Ming Kei, John S. House, Farida S. Akhtari, et al.. (2024). Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs). PubMed. 4(1). osae001–osae001. 31 indexed citations
9.
Rajpurkar, Pranav, Andrew L. Beam, & Arjun K. Manrai. (2024). Pixels and Pitfalls: Building Robust Artificial Intelligence for Medical Imaging. NEJM AI. 1(10). 1 indexed citations
10.
Koller, Daphne, Andrew L. Beam, Arjun K. Manrai, et al.. (2023). Why We Support and Encourage the Use of Large Language Models in NEJM AI Submissions. NEJM AI. 1(1). 33 indexed citations
11.
Rodman, Adam, Thomas A. Buckley, Arjun K. Manrai, & Daniel J. Morgan. (2023). Artificial Intelligence vs Clinician Performance in Estimating Probabilities of Diagnoses Before and After Testing. JAMA Network Open. 6(12). e2347075–e2347075. 18 indexed citations
12.
Qian, David C., James A. Diao, Michael H. Cho, et al.. (2023). Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors. Nature Communications. 14(1). 8297–8297. 14 indexed citations
13.
Tierney, Braden, Elizabeth C. Anderson, Kajal Claypool, et al.. (2021). Leveraging vibration of effects analysis for robust discovery in observational biomedical data science. PLoS Biology. 19(9). e3001398–e3001398. 15 indexed citations
14.
Patel, Chirag J., et al.. (2021). Empowering clinical research in a decentralized world. npj Digital Medicine. 4(1). 102–102. 37 indexed citations
15.
Melas-Kyriazi, Luke, et al.. (2020). Prediction of chronological and biological age from laboratory data. Aging. 12(9). 7626–7638. 21 indexed citations
16.
Tierney, Braden, et al.. (2019). Repurposing large health insurance claims data to estimate genetic and environmental contributions in 560 phenotypes. Nature Genetics. 51(2). 327–334. 53 indexed citations
17.
Manrai, Arjun K., Birgit Funke, Heidi L. Rehm, et al.. (2016). Genetic Misdiagnoses and the Potential for Health Disparities. New England Journal of Medicine. 375(7). 655–665. 461 indexed citations breakdown →
18.
Milwid, Jack M., Jessica S. Elman, Matthew Li, et al.. (2014). Enriched Protein Screening of Human Bone Marrow Mesenchymal Stromal Cell Secretions Reveals MFAP5 and PENK as Novel IL-10 Modulators. Molecular Therapy. 22(5). 999–1007. 34 indexed citations
19.
Patel, Chirag J. & Arjun K. Manrai. (2014). DEVELOPMENT OF EXPOSOME CORRELATION GLOBES TO MAP OUT ENVIRONMENT-WIDE ASSOCIATIONS. PubMed. 231–242. 53 indexed citations
20.
Manrai, Arjun K. & Jeremy Gunawardena. (2008). The Geometry of Multisite Phosphorylation. Biophysical Journal. 95(12). 5533–5543. 49 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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