John Danesh

48 total papers · 27.9k total citations
3 papers, 768 citations indexed

About

John Danesh is a scholar working on Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, John Danesh has authored 3 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Cardiology and Cardiovascular Medicine, 1 paper in Clinical Biochemistry and 1 paper in Endocrinology, Diabetes and Metabolism. Recurrent topics in John Danesh's work include Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Genetic Associations and Epidemiology (1 paper) and Biochemical Acid Research Studies (1 paper). John Danesh is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Genetic Associations and Epidemiology (1 paper) and Biochemical Acid Research Studies (1 paper). John Danesh collaborates with scholars based in United Kingdom, Australia and United States. John Danesh's co-authors include Hugh Watkins, Bernard Keavney, Jeremy G. Wheeler, Rory Collins, Nadeem Sarwar, Sally L. Ricketts, Willem H. Ouwehand, Philippa J. Talmud, Debbie A. Lawlor and Aroon D. Hingorani and has published in prestigious journals such as The Lancet and European Heart Journal.

In The Last Decade

John Danesh

3 papers receiving 738 citations

Hit Papers

Triglyceride-mediated pat... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John Danesh 328 308 241 213 115 3 768
Sonia-Athena P. Karabina 237 0.7× 381 1.2× 126 0.5× 168 0.8× 47 0.4× 13 747
Wim Verreth 153 0.5× 154 0.5× 143 0.6× 198 0.9× 100 0.9× 9 757
Monica Ishola 220 0.7× 154 0.5× 68 0.3× 374 1.8× 166 1.4× 9 678
R. Pahlman 172 0.5× 182 0.6× 64 0.3× 292 1.4× 175 1.5× 7 667
C. Justin Cooke 386 1.2× 475 1.5× 114 0.5× 175 0.8× 38 0.3× 12 905
Menno Vergeer 435 1.3× 516 1.7× 186 0.8× 71 0.3× 31 0.3× 15 868
Afroditi P. Tambaki 297 0.9× 471 1.5× 143 0.6× 157 0.7× 44 0.4× 15 791
George J. Miller 240 0.7× 146 0.5× 155 0.6× 78 0.4× 40 0.3× 17 827
Laurent Camont 356 1.1× 329 1.1× 149 0.6× 80 0.4× 31 0.3× 12 888
J. Oiknine 132 0.4× 218 0.7× 107 0.4× 101 0.5× 39 0.3× 12 737

Countries citing papers authored by John Danesh

Since Specialization
Citations

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

Fields of papers citing papers by John Danesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Danesh

This figure shows the co-authorship network connecting the top 25 collaborators of John Danesh. A scholar is included among the top collaborators of John Danesh 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 John Danesh. John Danesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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