Marion J. Siegman

2.0k citations
46 papers · 1.6k indexed · h-index 23
Topics
Cardiomyopathy and Myosin Studies (28 papers)Muscle Physiology and Disorders (18 papers)Cellular Mechanics and Interactions (9 papers)
Partner nations
United StatesJapanSweden

In The Last Decade

Marion J. Siegman

45 papers receiving 1.6k citations

Peers

Marion J. Siegman
Comparison fields: 5 of 116
  • Cardiology and Cardiovascular Medicine 896
  • Molecular Biology 861
  • Cell Biology 397
  • Physiology 190
  • Biomedical Engineering 162
Replace Jacqueline L.M. Vermeulen with:
Jacqueline L.M. Vermeulen Netherlands
Susan U. Mooers United States
Joe R. Haeberle United States
S.J. Winder United Kingdom
Manoel Luís Costa Brazil
K Sobue Japan
Johann Caspar Rüegg Germany
N. Chin Lai United States
Alexander M. Simon United States
A O Jorgensen Canada
Marion J. Siegman relative to Jacqueline L.M. Vermeulen Netherlands Jacqueline L.M. Vermeulen's profile →
Citations per field
00.5×3.0×
Jacqueline L.M. Vermeulen · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 12
3 9
4 16
5 8
6 27
7 38
8 30
9 40
10 40
11 58
12 94
13 31
14 8
15 5
16 22
17 50
18 66
19 83
20 9

About Marion J. Siegman

Marion J. Siegman is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology and Equine, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (28 papers), Muscle Physiology and Disorders (18 papers) and Cellular Mechanics and Interactions (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (896 citations), Cell Biology (397 citations) and Aging (24 citations). Marion J. Siegman has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Susan U. Mooers, T. M. Butler, Thomas M. Butler, S. Narayan, David J. Hartshorne, Shugo Watabe, R. E. Davies, Laura Trinkle‐Mulcahy, Daisuke Funabara and Albert W. Sedar. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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