Michael A. Yarski

12 total papers · 659 total citations
7 papers, 502 citations indexed

About

Michael A. Yarski is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Michael A. Yarski has authored 7 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Michael A. Yarski's work include Renin-Angiotensin System Studies (4 papers), Hormonal Regulation and Hypertension (3 papers) and Receptor Mechanisms and Signaling (2 papers). Michael A. Yarski is often cited by papers focused on Renin-Angiotensin System Studies (4 papers), Hormonal Regulation and Hypertension (3 papers) and Receptor Mechanisms and Signaling (2 papers). Michael A. Yarski collaborates with scholars based in Australia, United States and Singapore. Michael A. Yarski's co-authors include Rebecca A. Lew, A. Ian Smith, Moira K. O’Bryan, Mark P. Hedger, Louise M. Burrell, Fiona J. Warner, Iresha Hanchapola, Merlin C. Thomas, Wendy C. Burns and M. E. Cooper and has published in prestigious journals such as Nature Genetics, Immunity and Endocrinology.

In The Last Decade

Michael A. Yarski

7 papers receiving 495 citations

Author Peers

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

Author Last Decade Papers Cites
Michael A. Yarski 158 141 107 100 85 7 502
William Powley 104 0.7× 363 2.6× 24 0.2× 39 0.4× 82 1.0× 10 600
Nikolai Madrid Scheller 51 0.3× 34 0.2× 27 0.3× 112 1.1× 68 0.8× 12 452
Suzanne Webb 71 0.4× 103 0.7× 15 0.1× 24 0.2× 77 0.9× 8 606
Stephany Beyerstedt 33 0.2× 330 2.3× 44 0.4× 23 0.2× 106 1.2× 11 584
Karen Sheehy 226 1.4× 95 0.7× 8 0.1× 193 1.9× 92 1.1× 6 526
Péter Barta 68 0.4× 24 0.2× 209 2.0× 38 0.4× 97 1.1× 9 519
Perla J. Martinez 43 0.3× 82 0.6× 9 0.1× 83 0.8× 63 0.7× 9 475
Nicole J. Krumrei 21 0.1× 39 0.3× 26 0.2× 62 0.6× 57 0.7× 12 524
Dan Xie 26 0.2× 76 0.5× 11 0.1× 106 1.1× 151 1.8× 16 560
Qinmin Ge 30 0.2× 57 0.4× 13 0.1× 30 0.3× 102 1.2× 11 514

Countries citing papers authored by Michael A. Yarski

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Yarski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Yarski. 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 Michael A. Yarski. The network helps show where Michael A. Yarski may publish in the future.

Co-authorship network of co-authors of Michael A. Yarski

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Yarski. A scholar is included among the top collaborators of Michael A. Yarski 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 Michael A. Yarski. Michael A. Yarski 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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