Martin VanDenburgh
- Pathology and Forensic Medicine top 2%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Co-authors
- Charles H. HennekensJ. Michael GazianoJan L. BreslowSamuel Z. GoldhaberBernard RosnerWalter C. WillettJulie E. BuringChristine M. Albert
- Topics
- Cardiac electrophysiology and arrhythmias (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)Glycosylation and Glycoproteins Research (1 paper)
- Partner nations
- United StatesVietnam
In The Last Decade
Martin VanDenburgh
8 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Pathology and Forensic Medicine 514
- Epidemiology 368
- Endocrinology, Diabetes and Metabolism 323
- Cardiology and Cardiovascular Medicine 228
- Physiology 149
Countries citing papers authored by Martin VanDenburgh
This map shows the geographic impact of Martin VanDenburgh'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 Martin VanDenburgh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin VanDenburgh more than expected).
Fields of papers citing papers by Martin VanDenburgh
This network shows the impact of papers produced by Martin VanDenburgh. 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 Martin VanDenburgh. The network helps show where Martin VanDenburgh may publish in the future.
Co-authorship network of co-authors of Martin VanDenburgh
This figure shows the co-authorship network connecting the top 25 collaborators of Martin VanDenburgh. A scholar is included among the top collaborators of Martin VanDenburgh 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 Martin VanDenburgh. Martin VanDenburgh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 86 | |
| 2 | 16 | |
| 3 | 45 | |
| 4 | 51 | |
| 5 | 38 | |
| 6 | Moderate Alcohol Intake, Increased Levels of High-Density Lipoprotein and Its Subfractions, and Decreased Risk of Myocardial Infarctionbreakdown → | 805 |
| 7 | 85 | |
| 8 | 18 |
About Martin VanDenburgh
Martin VanDenburgh is a scholar working on Cardiology and Cardiovascular Medicine, Applied Psychology and Endocrine and Autonomic Systems, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (514 citations), Endocrinology, Diabetes and Metabolism (323 citations) and Biochemistry (96 citations). Martin VanDenburgh has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Charles H. Hennekens, J. Michael Gaziano, Jan L. Breslow, Samuel Z. Goldhaber, Bernard Rosner, Walter C. Willett, Julie E. Buring, Bernard Rosner, Christine M. Albert and Christopher Newton‐Cheh. Their work appears in journals such as New England Journal of Medicine, Circulation and Circulation Research.
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.