Richard P. Beyer

7.6k citations
88 papers · 5.1k indexed · h-index 39
Topics
Mitochondrial Function and Pathology (10 papers)Genetics, Aging, and Longevity in Model Organisms (7 papers)Adipose Tissue and Metabolism (5 papers)

In The Last Decade

Richard P. Beyer

88 papers receiving 5.1k citations

Peers

Richard P. Beyer
Comparison fields: 5 of 162
  • Molecular Biology 2.5k
  • Physiology 868
  • Epidemiology 758
  • Cellular and Molecular Neuroscience 619
  • Neurology 420
Replace Hsin‐Chen Lee with:
Hsin‐Chen Lee Taiwan
Elaine J. Carlson United States
Thomas Benzing Germany
Miguel A. Aon United States
Werner J.H. Koopman Netherlands
Wolfgang Dillmann United States
Masatoshi Nomura Japan
Peter H.G.M. Willems Netherlands
Jing Chen China
Oliver Ullrich Germany
Richard P. Beyer relative to Hsin‐Chen Lee Taiwan Hsin‐Chen Lee's profile →
Citations per field
00.5×1.5×
Hsin‐Chen Lee · 1×
Citations per year

Countries citing papers authored by Richard P. Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Richard P. Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard P. Beyer. 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 Richard P. Beyer. The network helps show where Richard P. Beyer may publish in the future.

Co-authorship network of co-authors of Richard P. Beyer

This figure shows the co-authorship network connecting the top 25 collaborators of Richard P. Beyer. A scholar is included among the top collaborators of Richard P. Beyer 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 Richard P. Beyer. Richard P. Beyer 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 8
2 15
3 15
4 30
5 255
6 50
7 1
8 11
9 39
10 10
11 117
12 34
13 7
14 52
15 68
16 129
17 80
18 35
19 72
20 10

About Richard P. Beyer

Richard P. Beyer is a scholar working on Aging, Developmental Neuroscience and Hepatology, having authored 88 papers that have together received 5.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Aging (381 citations), Developmental Neuroscience (164 citations) and Molecular Biology (2.5k citations). Richard P. Beyer has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Theo K. Bammler, Michael J. MacCoss, Randall J. LeVeque, Peter S. Rabinovitch, Federico M. Farin, Nicholas Shulman, Dao‐Fu Dai, Nathan Basisty, Edward J. Hsieh and Leo J. Pallanck. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Circulation.

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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