Paul R. Conlin

12.9k total citations · 2 hit papers
116 papers, 8.9k citations indexed

About

Paul R. Conlin is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Paul R. Conlin has authored 116 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Endocrinology, Diabetes and Metabolism, 31 papers in Cardiology and Cardiovascular Medicine and 28 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Paul R. Conlin's work include Blood Pressure and Hypertension Studies (24 papers), Diabetes Management and Research (23 papers) and Sodium Intake and Health (22 papers). Paul R. Conlin is often cited by papers focused on Blood Pressure and Hypertension Studies (24 papers), Diabetes Management and Research (23 papers) and Sodium Intake and Health (22 papers). Paul R. Conlin collaborates with scholars based in United States, Canada and France. Paul R. Conlin's co-authors include Frank M. Sacks, Lawrence J. Appel, Laura P. Svetkey, Thomas J. Moore, Edgar R. Miller, Eva Obarzanek, William M. Vollmer, George A. Bray, Denise G. Simons‐Morton and Njeri Karanja and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Biological Chemistry.

In The Last Decade

Paul R. Conlin

116 papers receiving 8.4k 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.

Effects on Blood Pressure of Reduced Dietary Sodium and the Dietary Approaches to Stop Hypertension (DASH) Diet

2001 3.7k citations Paul R. Conlin et al. profile →
Effects of Protein, Monounsaturated Fat, and Carbohydrate Intake on Blood Pressure and Serum Lipids

2005 817 citations Paul R. Conlin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paul R. Conlin United States	38	3.7k	3.0k	2.8k	2.0k	1.9k	116	8.9k
Vicki L. Burt United States	34	2.3k 0.6×	4.4k 1.5×	1.5k 0.5×	1.2k 0.6×	1.7k 0.9×	53	9.9k
Rose Stamler United States	40	3.7k 1.0×	4.3k 1.4×	3.6k 1.3×	1.4k 0.7×	1.6k 0.8×	100	9.3k
Tanika N. Kelly United States	33	2.4k 0.7×	3.3k 1.1×	1.7k 0.6×	2.2k 1.1×	1.7k 0.9×	157	10.3k
Pao-Hwa Lin United States	25	4.5k 1.2×	1.7k 0.6×	2.2k 0.8×	2.6k 1.3×	829 0.4×	35	7.2k
Theodore A. Kotchen United States	46	2.1k 0.6×	2.5k 0.8×	1.9k 0.7×	1.8k 0.9×	2.5k 1.4×	204	9.4k
Njeri Karanja United States	34	8.5k 2.3×	3.9k 1.3×	5.3k 1.9×	4.6k 2.3×	1.6k 0.9×	60	14.7k
Alan R. Sinaiko United States	47	3.0k 0.8×	2.4k 0.8×	777 0.3×	1.6k 0.8×	2.2k 1.2×	195	8.6k
Katherine T. Mills United States	28	1.5k 0.4×	3.9k 1.3×	1.3k 0.5×	1.1k 0.5×	1.1k 0.6×	70	8.2k
Emily B. Levitan United States	48	2.1k 0.6×	3.2k 1.1×	1.0k 0.4×	1.3k 0.6×	1.3k 0.7×	277	9.2k
James M. Shikany United States	62	4.5k 1.2×	1.2k 0.4×	2.0k 0.7×	3.5k 1.8×	1.1k 0.6×	308	11.5k

Countries citing papers authored by Paul R. Conlin

Since Specialization

Citations

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

Fields of papers citing papers by Paul R. Conlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. Conlin. 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 Paul R. Conlin. The network helps show where Paul R. Conlin may publish in the future.

Co-authorship network of co-authors of Paul R. Conlin

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

All Works

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20 of 20 papers shown

Vimalananda, Varsha G., Shirley Qian, Jolie B. Wormwood, et al.. (2025). Determinants of implementation of continuous glucose monitoring for patients with Insulin-Treated type 2 diabetes: a national survey of primary care providers. BMC Primary Care. 26(1). 68–68. 1 indexed citations

Conlin, Paul R., et al.. (2024). Management of Type 2 Diabetes Mellitus: Synopsis of the Department of Veterans Affairs and Department of Defense Clinical Practice Guideline. Mayo Clinic Proceedings. 99(8). 1323–1336. 1 indexed citations

Gallagher, Emily J., Paul R. Conlin, Barbara I. Kazmierczak, et al.. (2024). Is it time to reduce the length of postgraduate training for physician-scientists in internal medicine?. JCI Insight. 9(10). 4 indexed citations

Greenlee, M. Carol, Shari Bolen, William H Chong, et al.. (2023). The National Clinical Care Commission Report to Congress: Leveraging Federal Policies and Programs to Improve Diabetes Treatment and Reduce Complications. Diabetes Care. 46(2). e51–e59. 9 indexed citations

List, Justin M., Paul M. Palevsky, Suzanne Tamang, et al.. (2023). Eliminating Algorithmic Racial Bias in Clinical Decision Support Algorithms: Use Cases from the Veterans Health Administration. Health Equity. 7(1). 809–816. 2 indexed citations

Herman, William H., Ann Bullock, John M. Boltri, et al.. (2023). The National Clinical Care Commission Report to Congress: Background, Methods, and Foundational Recommendations. Diabetes Care. 46(2). e14–e23. 6 indexed citations

Conlin, Paul R., John M. Boltri, Ann Bullock, et al.. (2023). The National Clinical Care Commission Report to Congress: Summary and Next Steps. Diabetes Care. 46(2). e60–e63. 3 indexed citations

Conlin, Paul R., Libin Zhang, Donglin Li, et al.. (2023). Association of hemoglobin A1c stability with mortality and diabetes complications in older adults with diabetes. BMJ Open Diabetes Research & Care. 11(2). e003211–e003211. 4 indexed citations

Gallagher, Emily J., Don C. Rockey, Christopher D. Kontos, et al.. (2022). Pearls of wisdom for aspiring physician-scientist residency applicants and program directors. JCI Insight. 7(6). 5 indexed citations

10.

Prentice, Julia C., David C. Mohr, Libin Zhang, et al.. (2021). Increased Hemoglobin A1c Time in Range Reduces Adverse Health Outcomes in Older Adults With Diabetes. Diabetes Care. 44(8). 1750–1756. 16 indexed citations

11.

Griffith, Kevin N., Julia C. Prentice, David C. Mohr, & Paul R. Conlin. (2020). Predicting 5- and 10-Year Mortality Risk in Older Adults With Diabetes. Diabetes Care. 43(8). 1724–1731. 25 indexed citations

12.

Munshi, Medha, Graydon S. Meneilly, Leocadio Rodríguez‐Mañas, et al.. (2020). Diabetes in ageing: pathways for developing the evidence base for clinical guidance. The Lancet Diabetes & Endocrinology. 8(10). 855–867. 54 indexed citations

13.

Kerfoot, B. Price, David Gagnon, Graham T. McMahon, et al.. (2017). A Team-Based Online Game Improves Blood Glucose Control in Veterans With Type 2 Diabetes: A Randomized Controlled Trial. Diabetes Care. 40(9). 1218–1225. 44 indexed citations

14.

Conlin, Paul R., et al.. (2017). Synopsis of the 2017 U.S. Department of Veterans Affairs/U.S. Department of Defense Clinical Practice Guideline: Management of Type 2 Diabetes Mellitus. Annals of Internal Medicine. 167(9). 655–663. 80 indexed citations

15.

Prentice, Julia C., Paul R. Conlin, Walid F. Gellad, et al.. (2015). Long-term outcomes of analogue insulin compared with NPH for patients with type 2 diabetes mellitus.. PubMed. 21(3). e235–43. 5 indexed citations

16.

McMahon, Graham T., et al.. (2012). A Randomized Comparison of Online- and Telephone-Based Care Management with Internet Training Alone in Adult Patients with Poorly Controlled Type 2 Diabetes. Diabetes Technology & Therapeutics. 14(11). 1060–1067. 37 indexed citations

17.

Kerfoot, B. Price, Paul R. Conlin, Thomas G. Travison, & Graham T. McMahon. (2007). Patient Safety Knowledge and Its Determinants in Medical Trainees. Journal of General Internal Medicine. 22(8). 1150–1154. 56 indexed citations

18.

Williams, Jonathan S., Gordon H. Williams, Annaswamy Raji, et al.. (2005). Prevalence of primary hyperaldosteronism in mild to moderate hypertension without hypokalaemia. Journal of Human Hypertension. 20(2). 129–136. 90 indexed citations

19.

Conlin, Paul R.. (2005). Interactions of High Salt Intake and the Response of the Cardiovascular System to Aldosterone. Cardiology in Review. 13(3). 118–124. 16 indexed citations

20.

Romero, José R., Dennis A. Ricupero, Alicia Rivera, Ronald H. Goldstein, & Paul R. Conlin. (2000). Activation of Na+/Ca2+ Exchanger in Kinin B1 Receptor-Stimulated Human Fibroblast Is Associated with Collagen Production. Hypertension. 36. 710–720. 2 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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