Ron C. Hoogeveen

20.1k total citations · 3 hit papers
252 papers, 11.5k citations indexed

About

Ron C. Hoogeveen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ron C. Hoogeveen has authored 252 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Cardiology and Cardiovascular Medicine, 71 papers in Surgery and 59 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ron C. Hoogeveen's work include Lipoproteins and Cardiovascular Health (53 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (45 papers) and Adipokines, Inflammation, and Metabolic Diseases (38 papers). Ron C. Hoogeveen is often cited by papers focused on Lipoproteins and Cardiovascular Health (53 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (45 papers) and Adipokines, Inflammation, and Metabolic Diseases (38 papers). Ron C. Hoogeveen collaborates with scholars based in United States, Brazil and Ireland. Ron C. Hoogeveen's co-authors include Christie M. Ballantyne, Josef Coresh, Aaron R. Folsom, Gerardo Heiss, Elizabeth Selvin, David Couper, Eric Boerwinkle, María Inês Schmidt, Vijay Nambi and James S. Pankow and has published in prestigious journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Ron C. Hoogeveen

236 papers receiving 11.2k citations

Hit Papers

Low-Grade Systemic Inflammation and the Development of Ty... 2003 2026 2010 2018 2003 2011 2014 250 500 750
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. Low-Grade Systemic Inflammation and the Development of Type 2 Diabetes
    2003 847 citations James S. Pankow, Christie M. Ballantyne et al. profile →
  2. Cardiac Troponin T Measured by a Highly Sensitive Assay Predicts Coronary Heart Disease, Heart Failure, and Mortality in the Atherosclerosis Risk in Communities Study
    2011 561 citations Vijay Nambi, James A. de Lemos et al. Circulation profile →
  3. Small Dense Low-Density Lipoprotein-Cholesterol Concentrations Predict Risk for Coronary Heart Disease
    2014 385 citations Ron C. Hoogeveen, Wensheng Sun et al. Arteriosclerosis Thrombosis and Vascular Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron C. Hoogeveen United States 54 4.2k 3.1k 2.7k 2.6k 1.7k 252 11.5k
Frank L.J. Visseren Netherlands 59 5.9k 1.4× 4.6k 1.5× 3.2k 1.2× 2.8k 1.1× 2.1k 1.2× 468 15.4k
Raúl D. Santos Brazil 48 3.5k 0.8× 5.9k 1.9× 3.6k 1.4× 1.9k 0.8× 1.6k 0.9× 375 12.8k
Hiroyuki Daida Japan 52 5.5k 1.3× 4.8k 1.6× 2.3k 0.9× 1.9k 0.7× 1.6k 0.9× 737 14.1k
Eric J.G. Sijbrands Netherlands 59 3.1k 0.7× 5.1k 1.7× 3.1k 1.2× 1.4k 0.6× 1.3k 0.8× 276 12.5k
Benoît J. Arsenault Canada 43 3.2k 0.8× 3.2k 1.0× 2.3k 0.9× 1.9k 0.7× 1.7k 1.0× 170 8.6k
Kwang Kon Koh South Korea 48 3.4k 0.8× 2.4k 0.8× 3.3k 1.2× 2.4k 0.9× 1.9k 1.1× 173 9.6k
Aruna D. Pradhan United States 42 2.4k 0.6× 2.5k 0.8× 2.9k 1.1× 3.4k 1.3× 1.6k 0.9× 88 10.0k
Dimitri P. Mikhailidis United Kingdom 60 3.7k 0.9× 3.2k 1.1× 4.6k 1.7× 3.9k 1.5× 2.1k 1.2× 372 14.3k
Samia Mora United States 63 4.5k 1.1× 5.7k 1.9× 5.3k 2.0× 2.0k 0.8× 2.5k 1.4× 222 15.7k
Dimitri P. Mikhailidis United Kingdom 59 3.4k 0.8× 6.2k 2.0× 3.4k 1.3× 1.8k 0.7× 1.5k 0.8× 421 14.8k

Countries citing papers authored by Ron C. Hoogeveen

Since Specialization
Citations

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

Fields of papers citing papers by Ron C. Hoogeveen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ron C. Hoogeveen. 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 Ron C. Hoogeveen. The network helps show where Ron C. Hoogeveen may publish in the future.

Co-authorship network of co-authors of Ron C. Hoogeveen

This figure shows the co-authorship network connecting the top 25 collaborators of Ron C. Hoogeveen. A scholar is included among the top collaborators of Ron C. Hoogeveen 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 Ron C. Hoogeveen. Ron C. Hoogeveen 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.
Jia, Xiaoming, Xu Lu, Chao Cheng, et al.. (2025). Does Adiponectin Inform Cardiovascular Risk in Older Adults?. JACC Advances. 4(3). 101625–101625. 1 indexed citations
2.
Luo, Xi, Jennifer A. Brody, Traci M. Bartz, et al.. (2024). A Polygenic Risk Score of Atrial Fibrillation Improves Prediction of Lifetime Risk for Heart Failure. ESC Heart Failure. 11(2). 1086–1096. 3 indexed citations
3.
Myhre, Peder L., Brian Claggett, Christie M. Ballantyne, et al.. (2024). NT-proBNP and Cardiac Troponin I, but Not Cardiac Troponin T, Are Associated With 7-Year Changes in Cardiac Structure and Function in Older Adults: The ARIC Study. Circulation. 150(23). 1847–1857. 5 indexed citations
4.
Lü, Yifei, James Russell Pike, Ron C. Hoogeveen, et al.. (2024). Nonalcoholic Fatty Liver Disease and Longitudinal Change in Imaging and Plasma Biomarkers of Alzheimer Disease and Vascular Pathology. Neurology. 102(7). e209203–e209203. 11 indexed citations
5.
Mathews, Lena, Xiao Hu, Ning Ding, et al.. (2023). Growth Differentiation Factor 15 and Risk of Bleeding Events: The Atherosclerosis Risk in Communities Study. Journal of the American Heart Association. 12(6). e023847–e023847. 4 indexed citations
6.
Liu, Wei, Kavita Patel, Yi Wang, et al.. (2023). Dynamic and functional linkage between von Willebrand factor and ADAMTS-13 with aging: an Atherosclerosis Risk in Community study. Journal of Thrombosis and Haemostasis. 21(12). 3371–3382. 8 indexed citations
7.
Jia, Xiaoming, Leo F. Buckley, Mahmoud Al Rifai, et al.. (2023). Association of interleukin-6 and interleukin-18 with cardiovascular disease in older adults: Atherosclerosis Risk in Communities study. European Journal of Preventive Cardiology. 30(16). 1731–1740. 37 indexed citations
8.
Wen, Donghai, Linda Zhou, Zihe Zheng, et al.. (2022). Testican-2 Is Associated with Reduced Risk of Incident ESKD. Journal of the American Society of Nephrology. 34(1). 122–131. 5 indexed citations
9.
Ding, Ning, Yejin Mok, Lena Mathews, et al.. (2022). Growth Differentiation Factor 15 and the Subsequent Risk of Atrial Fibrillation: The Atherosclerosis Risk in Communities Study. Clinical Chemistry. 68(8). 1084–1093. 9 indexed citations
10.
Michos, Erin D., Di Zhao, Bharath Ambale‐Venkatesh, et al.. (2022). Oxidative Stress and Menopausal Status: The Coronary Artery Risk Development in Young Adults Cohort Study. Journal of Women s Health. 31(7). 1057–1065. 3 indexed citations
11.
Jia, Xiaoming, Leo F. Buckley, Mahmoud Al Rifai, et al.. (2022). Abstract 11125: Association of Interleukin-6 and Interleukin-18 With Global Cardiovascular Disease in Older Adults. Circulation. 146(Suppl_1). 1 indexed citations
12.
Kou, Minghao, Ning Ding, Shoshana H. Ballew, et al.. (2021). Conventional and Novel Lipid Measures and Risk of Peripheral Artery Disease. Arteriosclerosis Thrombosis and Vascular Biology. 41(3). 1229–1238. 25 indexed citations
13.
Mathews, Lena, Junichi Ishigami, Ning Ding, et al.. (2020). Cardiac Biomarkers and Subsequent Risk of Hospitalization With Bleeding in the Community: Atherosclerosis Risk in Communities Study. Journal of the American Heart Association. 9(5). e013560–e013560. 5 indexed citations
14.
Jia, Xiaoming, Wensheng Sun, Ron C. Hoogeveen, et al.. (2019). High-Sensitivity Troponin I and Incident Coronary Events, Stroke, Heart Failure Hospitalization, and Mortality in the ARIC Study. Circulation. 139(23). 2642–2653. 152 indexed citations
15.
Ding, Ning, Lucia Kwak, Shoshana H. Ballew, et al.. (2018). Traditional and nontraditional glycemic markers and risk of peripheral artery disease: The Atherosclerosis Risk in Communities (ARIC) study. Atherosclerosis. 274. 86–93. 20 indexed citations
16.
17.
Agarwala, Anandita, Wensheng Sun, Vijay Nambi, et al.. (2016). Abstract 12141: ApoE-HDL Cholesterol Predicts Incident Cardiovascular Events: Aric Study. Circulation. 134(suppl_1). 2 indexed citations
18.
Bower, Julie K., James S. Pankow, Mariana Lazo, et al.. (2013). Three-year variability in plasma concentrations of the soluble receptor for advanced glycation end products (sRAGE). Clinical Biochemistry. 47(1-2). 132–134. 16 indexed citations
19.
Köttgen, Anna, et al.. (2012). Association of apolipoprotein A1 and B with kidney function and chronic kidney disease in two multiethnic population samples. Nephrology Dialysis Transplantation. 27(7). 2839–2847. 45 indexed citations
20.
Belalcazar, L. Maria, David M. Reboussin, Steven M. Haffner, et al.. (2010). A 1-Year Lifestyle Intervention for Weight Loss in Individuals With Type 2 Diabetes Reduces High C-Reactive Protein Levels and Identifies Metabolic Predictors of Change. Diabetes Care. 33(11). 2297–2303. 84 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Frank L.J. Visseren Breakdown of academic impact, for papers by Raúl D. Santos Breakdown of academic impact, for papers by Hiroyuki Daida Breakdown of academic impact, for papers by Eric J.G. Sijbrands Breakdown of academic impact, for papers by Benoît J. Arsenault Breakdown of academic impact, for papers by Kwang Kon Koh Breakdown of academic impact, for papers by Aruna D. Pradhan Breakdown of academic impact, for papers by Dimitri P. Mikhailidis Breakdown of academic impact, for papers by Samia Mora Breakdown of academic impact, for papers by Dimitri P. Mikhailidis
Rankless by CCL
2026