Peter Durda

1.1k citations
13 papers · 343 · h-index 11

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Venous Thromboembolism Diagnosis and Management

Papers in

Peter Durda

12 papers receiving 336 citations

Peers

Peter Durda
Comparison fields: 5 of 73
  • Aging 20
  • Internal Medicine 39
  • Hematology 55
  • Biological Psychiatry 10
  • Neuropsychology and Physiological Psychology 5
Replace Jacob J.E. Koopman with:
Jacob J.E. Koopman Netherlands
Qiuyue Tian China
Jenny X. Sun United States
Joseph Kim United States
Svetlana Tchaikovski Germany
Sharon Cooley Ireland
Cameron Griffin United States
A. D. Moodie South Africa
Jason D’Amore United States
George R. Saade United States
Peter Durda relative to Jacob J.E. Koopman Netherlands Jacob J.E. Koopman's profile →
Citations per field
00.5×9.8×
Jacob J.E. Koopman · 1×
Citations per year

Countries citing papers authored by Peter Durda

Since Specialization
Citations

This map shows the geographic impact of 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 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 Peter Durda more than expected).

Fields of papers citing papers by Peter Durda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside 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 Peter Durda Line = papers co-authored together Peter Durda links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200750
2 201548
3 202247
4 201746
5 200535
6 201530
7 201923
8 202022
9 201416
10 202013
11 202210
12 20223
13 20240

About Peter Durda

Peter Durda is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Epidemiology, Immunology and Sociology and Political Science, having authored 13 papers that have together received 343 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Intergenerational Family Dynamics and Caregiving (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Nutrition and Health in Aging (2 papers), Hemophilia Treatment and Research (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Aging (20 citations), Internal Medicine (39 citations), Hematology (55 citations), Biological Psychiatry (10 citations) and Neuropsychology and Physiological Psychology (5 citations). Peter Durda has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Mary Cushman, Alex P. Reiner, Russell P. Tracy, Bruce M. Psaty, Jeremy Walston, Nancy S. Jenny, Kenneth J. Mukamal, Nigel S. Key, Luc Djoussé and Leslie Lange. Their work appears in journals such as ESC Heart Failure, Blood, Scientific Reports, British Journal of Haematology and JAMA Network Open.

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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