Jeffrey Benovic

34.5k total citations · 9 hit papers
290 papers, 28.8k citations indexed

About

Jeffrey Benovic is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Jeffrey Benovic has authored 290 papers receiving a total of 28.8k indexed citations (citations by other indexed papers that have themselves been cited), including 263 papers in Molecular Biology, 140 papers in Cellular and Molecular Neuroscience and 38 papers in Physiology. Recurrent topics in Jeffrey Benovic's work include Receptor Mechanisms and Signaling (233 papers), Neuropeptides and Animal Physiology (85 papers) and Protein Kinase Regulation and GTPase Signaling (75 papers). Jeffrey Benovic is often cited by papers focused on Receptor Mechanisms and Signaling (233 papers), Neuropeptides and Animal Physiology (85 papers) and Protein Kinase Regulation and GTPase Signaling (75 papers). Jeffrey Benovic collaborates with scholars based in United States, United Kingdom and Canada. Jeffrey Benovic's co-authors include Robert J. Lefkowitz, Vsevolod V. Gurevich, Marc G. Caron, Jason G. Krupnick, Raymond B. Penn, James H. Keen, Juan Codina, Adriano Marchese, Alexey Pronin and John M. Busillo and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jeffrey Benovic

289 papers receiving 28.1k citations

Hit Papers

β-Arrestin acts as a clathrin adaptor in endocytosis of t... 1985 2026 1998 2012 1996 1986 1990 1998 1987 250 500 750 1000

Peers

Jeffrey Benovic
Comparison fields: 5 of 139
  • Molecular Biology 23.8k
  • Cellular and Molecular Neuroscience 13.5k
  • Cell Biology 3.2k
  • Physiology 2.8k
  • Oncology 2.3k
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Citations per field, relative to Jeffrey Benovic
Jeffrey Benovic · 1×
Citations per year, relative to Jeffrey Benovic
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Countries citing papers authored by Jeffrey Benovic

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Benovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Benovic. 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 Jeffrey Benovic. The network helps show where Jeffrey Benovic may publish in the future.

Co-authorship network of co-authors of Jeffrey Benovic

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Benovic. A scholar is included among the top collaborators of Jeffrey Benovic 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 Jeffrey Benovic. Jeffrey Benovic 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
# Work Indexed citations
1 3
2 17
3 69
4 82
5 33
6 2
7 60
8 44
9 89
10 216
11 50
12 90
13
Regulation of g protein-coupled receptor kinases by calmodulin and localization of the calmodulin binding domain
1
14 112
15 16
16 24
17 85
18 86
19 54
20 8

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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