Guy M. Benian

5.1k citations
92 papers · 4.2k indexed · h-index 35
Topics
Genetics, Aging, and Longevity in Model Organisms (64 papers)Muscle Physiology and Disorders (33 papers)Cardiomyopathy and Myosin Studies (30 papers)

In The Last Decade

Guy M. Benian

90 papers receiving 4.1k citations

Peers

Guy M. Benian
Comparison fields: 5 of 128
  • Molecular Biology 2.7k
  • Aging 1.4k
  • Cardiology and Cardiovascular Medicine 1.2k
  • Cell Biology 969
  • Physiology 452
Replace Barth D. Grant with:
Barth D. Grant United States
Henry F. Epstein United States
James J. Moresco United States
Guangwei Du United States
Anjon Audhya United States
Matthew Seaman United Kingdom
Aurelio A. Teleman Germany
Ichiro Maruyama Japan
Ken Sato Japan
Jörg Höhfeld Germany
Guy M. Benian relative to Barth D. Grant United States Barth D. Grant's profile →
Citations per field
00.5×10×15.8×
Barth D. Grant · 1×
Citations per year

Countries citing papers authored by Guy M. Benian

Since Specialization
Citations

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

Fields of papers citing papers by Guy M. Benian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy M. Benian. 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 Guy M. Benian. The network helps show where Guy M. Benian may publish in the future.

Co-authorship network of co-authors of Guy M. Benian

This figure shows the co-authorship network connecting the top 25 collaborators of Guy M. Benian. A scholar is included among the top collaborators of Guy M. Benian 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 Guy M. Benian. Guy M. Benian 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 3
2 1
3 26
4 23
5 7
6 3
7 13
8 143
9 12
10 19
11 1
12 10
13 18
14 30
15 9
16 52
17 56
18 30
19 8
20 98

About Guy M. Benian

Guy M. Benian is a scholar working on Aging, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 92 papers that have together received 4.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (64 papers), Muscle Physiology and Disorders (33 papers) and Cardiomyopathy and Myosin Studies (30 papers). The work is most often cited by research in Aging (1.4k citations), Cell Biology (969 citations) and Cardiology and Cardiovascular Medicine (1.2k citations). Guy M. Benian has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Donald G. Moerman, Hiroshi Qadota, R Waterston, Shoichiro Ono, Denise B. Flaherty, Bruce E. Kemp, Michael W. Parker, Tina L. Tinley, Nicolas Neckelmann and Mark Borodovsky. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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