James A. Diao

1.5k total citations · 1 hit paper
14 papers, 383 citations indexed

About

James A. Diao is a scholar working on Economics and Econometrics, Cancer Research and Surgery. According to data from OpenAlex, James A. Diao has authored 14 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Economics and Econometrics, 3 papers in Cancer Research and 2 papers in Surgery. Recurrent topics in James A. Diao's work include Lipoproteins and Cardiovascular Health (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Healthcare Policy and Management (2 papers). James A. Diao is often cited by papers focused on Lipoproteins and Cardiovascular Health (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Healthcare Policy and Management (2 papers). James A. Diao collaborates with scholars based in United States. James A. Diao's co-authors include Arjun K. Manrai, Neil R. Powe, Isaac S. Kohane, Herman A. Taylor, Lesley A. Inker, Hocine Tighiouart, John K. Tucker, Andrew S. Levey, Jonathan J. Park and Robert R. Kitchen and has published in prestigious journals such as New England Journal of Medicine, JAMA and Nature Communications.

In The Last Decade

James A. Diao

11 papers receiving 376 citations

Hit Papers

align trajectories

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.

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

James A. Diao

MB

CR

NEPHR

PHEOH

SURGE

David T. Myers United States

Hayley Bennett United Kingdom

Gurprataap Singh Sandhu United States

Qingyang Luo United States

Habeeb Majeed Canada

Amar A. Desai United States

Franz Harnoncourt Austria

Devin Incerti United States

Radmila Lyubarova United States

Dongyan Yang United States

David T. Myers United States

James A. Diao

114 ×1.1

MB

61 ×0.6

CR

69 ×0.9

NEPHR

18 ×0.4

PHEOH

22 ×0.5

SURGE

Citations per year, relative to James A. Diao James A. Diao (= 1×) peers David T. Myers

Countries citing papers authored by James A. Diao

Since Specialization

Citations

This map shows the geographic impact of James A. Diao'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 James A. Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Diao more than expected).

Fields of papers citing papers by James A. Diao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Diao. 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 James A. Diao. The network helps show where James A. Diao may publish in the future.

Co-authorship network of co-authors of James A. Diao

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Diao. A scholar is included among the top collaborators of James A. Diao 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 James A. Diao. James A. Diao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

1.

Khazanchi, Rohan, Nwamaka D. Eneanya, Kenneth A. Michelson, et al.. (2026). Wait Time Modifications for Black Transplant Candidates Affected by Race-Based Kidney Function Estimation. JAMA Internal Medicine.

2.

Diao, James A., et al.. (2025). Public Opinion on Use of Race in Clinical Algorithms. JAMA Internal Medicine. 186(2). 266–266.

3.

Diao, James A., Rishi K. Wadhera, & Arjun K. Manrai. (2025). Statins for Primary Prevention of Cardiovascular Disease—Reply. JAMA. 333(10). 909–909.

4.

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 →

5.

Diao, James A., Yixuan He, Rohan Khazanchi, et al.. (2024). Implications of Race Adjustment in Lung-Function Equations. New England Journal of Medicine. 390(22). 2083–2097. 32 indexed citations

6.

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

7.

Khazanchi, Rohan, Jessica P. Cerdeña, James A. Diao, et al.. (2022). Trainee Perspectives on Race, Antiracism, and the Path toward Justice in Kidney Care. Clinical Journal of the American Society of Nephrology. 17(8). 1251–1254. 8 indexed citations

8.

Diao, James A., Jason K. Wang, Isaac S. Kohane, et al.. (2022). National Projections for Clinical Implications of Race-Free Creatinine-Based GFR Estimating Equations. Journal of the American Society of Nephrology. 34(2). 309–321. 13 indexed citations

9.

Diao, James A. & Joseph C. Kvedar. (2021). Mobile health technology for diverse populations: challenges and opportunities. npj Digital Medicine. 4(1). 130–130. 1 indexed citations

10.

Diao, James A., Lesley A. Inker, Andrew S. Levey, et al.. (2021). In Search of a Better Equation — Performance and Equity in Estimates of Kidney Function. New England Journal of Medicine. 384(5). 396–399. 67 indexed citations

11.

Taylor‐Weiner, Amaro, James A. Diao, Jason Wang, et al.. (2021). Abstract PD6-04: Deep-learning based prediction of homologous recombination deficiency (hrd) status from histological features in breast cancer; a research study. Cancer Research. 81(4_Supplement). PD6–4. 2 indexed citations

12.

Diao, James A., Herman A. Taylor, John K. Tucker, et al.. (2020). Clinical Implications of Removing Race From Estimates of Kidney Function. JAMA. 325(2). 184–186. 81 indexed citations

13.

Rozowsky, Joel, Robert R. Kitchen, Jonathan J. Park, et al.. (2019). exceRpt: A Comprehensive Analytic Platform for Extracellular RNA Profiling. Cell Systems. 8(4). 352–357.e3. 105 indexed citations

14.

Diao, James A., Isaac S. Kohane, & Arjun K. Manrai. (2018). Biomedical informatics and machine learning for clinical genomics. Human Molecular Genetics. 27(R1). R29–R34. 19 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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