Marion J. Siegman

51 total papers · 2.0k total citations
46 papers, 1.6k citations indexed

About

Marion J. Siegman is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology. According to data from OpenAlex, Marion J. Siegman has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 27 papers in Molecular Biology and 18 papers in Cell Biology. Recurrent topics in Marion J. Siegman's work include Cardiomyopathy and Myosin Studies (28 papers), Muscle Physiology and Disorders (18 papers) and Cellular Mechanics and Interactions (9 papers). Marion J. Siegman is often cited by papers focused on Cardiomyopathy and Myosin Studies (28 papers), Muscle Physiology and Disorders (18 papers) and Cellular Mechanics and Interactions (9 papers). Marion J. Siegman collaborates with scholars based in United States, Japan and Sweden. Marion J. Siegman's co-authors include Susan U. Mooers, T. M. Butler, Thomas M. Butler, S. Narayan, David J. Hartshorne, R. E. Davies, Shugo Watabe, Laura Trinkle‐Mulcahy, Daisuke Funabara and Allan M. Lefer and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Marion J. Siegman

45 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Marion J. Siegman 896 859 397 190 162 46 1.6k
Johann Caspar Rüegg 1.1k 1.2× 1.1k 1.3× 276 0.7× 229 1.2× 236 1.5× 80 2.1k
J C Rüegg 691 0.8× 763 0.9× 214 0.5× 226 1.2× 148 0.9× 26 1.3k
Vladimir P. Shirinsky 487 0.5× 1.0k 1.2× 633 1.6× 224 1.2× 135 0.8× 73 1.9k
D.J. Hartshorne 763 0.9× 1.0k 1.2× 453 1.1× 159 0.8× 115 0.7× 28 1.6k
Kate Bárány 908 1.0× 1.2k 1.4× 597 1.5× 198 1.0× 148 0.9× 68 1.8k
Joe R. Haeberle 920 1.0× 1.1k 1.2× 472 1.2× 182 1.0× 50 0.3× 30 1.6k
S Ebashi 1.1k 1.2× 1.4k 1.6× 307 0.8× 203 1.1× 404 2.5× 31 2.3k
Hildegard Portzehl 400 0.4× 935 1.1× 343 0.9× 178 0.9× 299 1.8× 23 1.6k
S.J. Winder 328 0.4× 1.1k 1.3× 473 1.2× 311 1.6× 49 0.3× 23 1.5k
T. Tsuchiya 578 0.6× 537 0.6× 87 0.2× 137 0.7× 499 3.1× 64 1.6k

Countries citing papers authored by Marion J. Siegman

Since Specialization
Citations

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

Fields of papers citing papers by Marion J. Siegman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion J. Siegman. 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 Marion J. Siegman. The network helps show where Marion J. Siegman may publish in the future.

Co-authorship network of co-authors of Marion J. Siegman

This figure shows the co-authorship network connecting the top 25 collaborators of Marion J. Siegman. A scholar is included among the top collaborators of Marion J. Siegman 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 Marion J. Siegman. Marion J. Siegman 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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