Jon Peter Durda

10 papers receiving 588 citations

Peers

Jon Peter Durda
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 181
  • Epidemiology 192
  • Endocrinology, Diabetes and Metabolism 90
  • Biological Psychiatry 13
  • Genetics 133
Replace Toshiharu Onodera with:
Toshiharu Onodera Japan
Asif Anwar United States
Jayashree Shanker United Kingdom
Agata Kubaszek Finland
Sylvia Müller-Scholze Germany
Pavel Trachta Czechia
Ganesh Chauhan India
Amy Fleischman United States
Jesper I. Reimers Denmark
Jon Peter Durda relative to Toshiharu Onodera Japan Toshiharu Onodera's profile →
Citations per field
00.5×3.6×
Toshiharu Onodera · 1×
Citations per year

Countries citing papers authored by Jon Peter Durda

Since Specialization
Citations

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

Fields of papers citing papers by Jon Peter Durda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Peter Durda. 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 Jon Peter Durda. The network helps show where Jon Peter Durda may publish in the future.

Co-authors

The 25 scholars most cited alongside Jon Peter Durda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Peter Durda Line = papers co-authored together Jon Peter Durda links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2006219
2 2008129
3 200690
4 200367
5 200832
6 199832
7 200722
8 20159
9 20151
10
The Cardiovascular Epidemiology and Genome-Wide Associations of Biomarkers of Innate and Adaptive Immunity: sCD163 and sIL2RA
20171
11 20250

About Jon Peter Durda

Jon Peter Durda is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology, having authored 11 papers that have together received 602 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Genetic Associations and Epidemiology (2 papers), Adipose Tissue and Metabolism (2 papers), Receptor Mechanisms and Signaling (2 papers), Hormonal Regulation and Hypertension (2 papers), Cardiovascular Health and Risk Factors (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (181 citations), Epidemiology (192 citations), Endocrinology, Diabetes and Metabolism (90 citations), Biological Psychiatry (13 citations) and Genetics (133 citations). Jon Peter Durda has collaborated with scholars based in United States, Netherlands and South Africa. Frequent co-authors include Russell P. Tracy, Bruce M. Psaty, Alexander P. Reiner, Deborah A. Nickerson, Lucia A. Hindorff, Jeremy Walston, Leslie A. Lange, Lewis H. Kuller, Christopher S. Carlson and Mary Cushman. Their work appears in journals such as Circulation, JAMA, The American Journal of Human Genetics, Arteriosclerosis Thrombosis and Vascular Biology and Communications Biology.

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