James S. Pankow

61.7k total citations · 4 hit papers
402 papers, 18.2k citations indexed

About

James S. Pankow is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, James S. Pankow has authored 402 papers receiving a total of 18.2k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Genetics, 105 papers in Cardiology and Cardiovascular Medicine and 102 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in James S. Pankow's work include Genetic Associations and Epidemiology (93 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (60 papers) and Adipokines, Inflammation, and Metabolic Diseases (42 papers). James S. Pankow is often cited by papers focused on Genetic Associations and Epidemiology (93 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (60 papers) and Adipokines, Inflammation, and Metabolic Diseases (42 papers). James S. Pankow collaborates with scholars based in United States, Brazil and United Kingdom. James S. Pankow's co-authors include Aaron R. Folsom, Elizabeth Selvin, Frederick L. Brancati, Bruce Bartholow Duncan, Christie M. Ballantyne, Gerardo Heiss, Josef Coresh, María Inês Schmidt, David Couper and John H. Eckfeldt and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

James S. Pankow

386 papers receiving 17.6k citations

Hit Papers

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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.

Glycated Hemoglobin, Diabetes, and Cardiovascular Risk in Nondiabetic Adults

2010 1.1k citations Elizabeth Selvin, Kunihiro Matsushita et al. profile →
Low-Grade Systemic Inflammation and the Development of Type 2 Diabetes

2003 847 citations James S. Pankow, Christie M. Ballantyne et al. profile →
Recent Trends in Acute Coronary Heart Disease — Mortality, Morbidity, Medical Care, and Risk Factors

1996 583 citations James S. Pankow, Aaron R. Folsom et al. profile →
Association of Weight Status With Mortality in Adults With Incident Diabetes

2012 410 citations James S. Pankow, Alain G. Bertoni et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James S. Pankow United States	66	4.7k	3.9k	3.9k	3.0k	2.5k	402	18.2k
Veikko Salomaa Finland	77	3.2k 0.7×	6.4k 1.6×	3.8k 1.0×	4.6k 1.6×	3.1k 1.2×	522	22.3k
Christa Meisinger Germany	72	4.9k 1.1×	4.3k 1.1×	4.6k 1.2×	3.1k 1.0×	4.2k 1.7×	590	20.7k
Peter M. Nilsson Sweden	77	6.3k 1.3×	5.8k 1.5×	2.6k 0.7×	3.9k 1.3×	3.7k 1.5×	591	21.5k
Albert Hofman Netherlands	91	6.9k 1.5×	3.7k 0.9×	5.9k 1.5×	4.6k 1.5×	4.0k 1.6×	360	31.4k
Kyungdo Han South Korea	59	3.7k 0.8×	4.5k 1.1×	3.9k 1.0×	1.8k 0.6×	3.2k 1.3×	1.2k	20.4k
Beatriz L. Rodríguez United States	68	5.0k 1.1×	3.4k 0.9×	2.0k 0.5×	1.9k 0.6×	4.1k 1.6×	229	16.8k
Toshiharu Ninomiya Japan	74	5.6k 1.2×	4.8k 1.2×	2.7k 0.7×	2.9k 1.0×	2.9k 1.2×	383	21.1k
Wendy J. Mack United States	74	5.1k 1.1×	3.1k 0.8×	1.7k 0.4×	1.8k 0.6×	3.1k 1.2×	402	20.2k
Vilmundur Guðnason Iceland	75	2.7k 0.6×	5.8k 1.5×	3.6k 0.9×	2.9k 1.0×	3.3k 1.3×	492	22.9k
Dominique Arveiler France	65	4.4k 0.9×	6.0k 1.5×	2.0k 0.5×	2.0k 0.7×	1.6k 0.6×	247	15.7k

Countries citing papers authored by James S. Pankow

Since Specialization

Citations

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

Fields of papers citing papers by James S. Pankow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James S. Pankow

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Pankow. A scholar is included among the top collaborators of James S. Pankow 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 S. Pankow. James S. Pankow 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

Pankow, James S., et al.. (2025). Epigenome-wide association study of incident type 2 diabetes in Black and White participants from the Atherosclerosis Risk in Communities Study. Diabetologia. 68(4). 815–834. 3 indexed citations

Guan, Weihua, Abigail J. Johnson, Sanaz Sedaghat, et al.. (2025). Salivary microbiota and clinical periodontal measures predicting cardiometabolic disease mortality: A nationwide survey. Journal of Periodontology. 1 indexed citations

Sedaghat, Sanaz, Rob F. Walker, Jialing Liu, et al.. (2025). Proteomics-based aging clocks in midlife or late-life and their associated risk of dementia. Communications Medicine. 5(1). 353–353.

Angelini, Elsa D., R. Graham Barr, Norrina B. Allen, et al.. (2024). Unsupervised Airway Tree Clustering with Deep Learning: the Multi-Ethnic Study of Atherosclerosis (Mesa) Lung Study. PubMed. 2024. 1–5.

Sargent, Lana, Mike A. Nalls, Andrew B. Singleton, et al.. (2023). Moving towards the detection of frailty with biomarkers: A population health study. Aging Cell. 23(2). e14030–e14030. 9 indexed citations

Hoffman, Eric A., Norrina B. Allen, Alain G. Bertoni, et al.. (2022). Pulmonary Blood Volume Among Older Adults in the Community: The MESA Lung Study. Circulation Cardiovascular Imaging. 15(8). e014380–e014380. 9 indexed citations

Steffen, Brian T., James S. Pankow, Faye L. Norby, et al.. (2022). Proteomics Analysis of Genetic Liability of Abdominal Aortic Aneurysm Identifies Plasma Neogenin and Kit Ligand: The ARIC Study. Arteriosclerosis Thrombosis and Vascular Biology. 43(2). 367–378. 6 indexed citations

Bohn, Bruno, Pamela L. Lutsey, Weihong Tang, et al.. (2022). A proteomic approach for investigating the pleiotropic effects of statins in the atherosclerosis risk in communities (ARIC) study. Journal of Proteomics. 272. 104788–104788. 2 indexed citations

Godino, Job, Lawrence J. Appel, Alden L. Gross, et al.. (2016). Diabetes, hyperglycemia, and the burden of functional disability among older adults in a community‐based study. Journal of Diabetes. 9(1). 76–84. 24 indexed citations

10.

Michos, Erin D., Jeffrey R. Misialek, Elizabeth Selvin, et al.. (2015). 25-hydroxyvitamin D levels, vitamin D binding protein gene polymorphisms and incident coronary heart disease among whites and blacks: The ARIC study. Atherosclerosis. 241(1). 12–17. 48 indexed citations

11.

Nelson, Erik J., John Hughes, J. Michael Oakes, James S. Pankow, & Shalini Kulasingam. (2015). Geospatial patterns of human papillomavirus vaccine uptake in Minnesota. BMJ Open. 5(8). e008617–e008617. 13 indexed citations

12.

Ray, Debashree, James S. Pankow, & Saonli Basu. (2015). USAT: A Unified Score‐Based Association Test for Multiple Phenotype‐Genotype Analysis. Genetic Epidemiology. 40(1). 20–34. 33 indexed citations

13.

Setodji, Claude Messan, Maren T. Scheuner, James S. Pankow, et al.. (2012). A graphical method for assessing risk factor threshold values using the generalized additive model: the multi-ethnic study of atherosclerosis. Health Services and Outcomes Research Methodology. 12(1). 62–79. 21 indexed citations

14.

Southerland, Janet H., Kevin Moss, George W. Taylor, et al.. (2012). Periodontitis and diabetes associations with measures of atherosclerosis and CHD. Atherosclerosis. 222(1). 196–201. 72 indexed citations

15.

Avery, Christy L., Qianchuan He, Kari E. North, et al.. (2011). A Phenomics-Based Strategy Identifies Loci on APOC1, BRAP, and PLCG1 Associated with Metabolic Syndrome Phenotype Domains. PLoS Genetics. 7(10). e1002322–e1002322. 77 indexed citations

16.

Langenberg, Claudia, Rachit K. Saxena, Marie‐France Hivert, et al.. (2009). Genome-wide meta-analysis identifies novel genetic loci associated with OGTT-induced post-challenge glucose. Lund University Publications (Lund University). 1 indexed citations

17.

Lynch, Amy I., Donna K. Arnett, James S. Pankow, et al.. (2007). Sex-specific effects of ACE I/D and AGT-M235T on pulse pressure: the HyperGEN Study. Human Genetics. 122(1). 33–40. 5 indexed citations

18.

Wilk, Jemma B., Richard H. Myers, James S. Pankow, et al.. (2006). Adrenergic Receptor Polymorphisms Associated with Resting Heart Rate: The HyperGEN Study. Annals of Human Genetics. 70(5). 566–573. 23 indexed citations

19.

Wang, Lu, Aaron R. Folsom, Zhi‐Jie Zheng, James S. Pankow, & John H. Eckfeldt. (2003). Plasma fatty acid composition and incidence of diabetes in middle-aged adults: the Atherosclerosis Risk in Communities (ARIC) Study. American Journal of Clinical Nutrition. 78(1). 91–98. 292 indexed citations

20.

Beck, James D., James S. Pankow, H A Tyroler, & Steven Offenbacher. (1999). Dental infections and atherosclerosis. American Heart Journal. 138(5). S528–S533. 152 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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