John P. Perkins

6.0k citations
70 papers · 4.8k indexed · 2 hit papers · h-index 32
Topics
Receptor Mechanisms and Signaling (26 papers)Neuroscience and Neuropharmacology Research (12 papers)Lipid Membrane Structure and Behavior (10 papers)

In The Last Decade

John P. Perkins

67 papers receiving 4.4k citations

Hit Papers

An Adenosine 3′,5′-Monophosphate-dependant Protein Kinase...1968202619872006196819712505007501000

Peers

John P. Perkins
Comparison fields: 5 of 135
  • Molecular Biology 3.4k
  • Cellular and Molecular Neuroscience 1.4k
  • Physiology 665
  • Cell Biology 572
  • Physiology 291
Replace Kenneth B. Seamon with:
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John P. Perkins relative to Kenneth B. Seamon United States Kenneth B. Seamon's profile →
Citations per field
00.5×1.5×
Kenneth B. Seamon · 1×
Citations per year

Countries citing papers authored by John P. Perkins

Since Specialization
Citations

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

Fields of papers citing papers by John P. Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Perkins

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Perkins. A scholar is included among the top collaborators of John P. Perkins 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 John P. Perkins. John P. Perkins 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 19
2
Modeling and visualizing avalanche flow using genetic algorithms and OpenGL
0
3 102
4 16
5 28
6 12
7 7
8 12
9 50
10 5
11 2
12 114
13 87
14 45
15 156
16 2
17
An Adenosine 3′,5′-Monophosphate-dependant Protein Kinase from Rabbit Skeletal Musclebreakdown →
1132
18 15
19 117
20 23

About John P. Perkins

John P. Perkins is a scholar working on Cellular and Molecular Neuroscience, Physiology and Transplantation, having authored 70 papers that have together received 4.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (26 papers), Neuroscience and Neuropharmacology Research (12 papers) and Lipid Membrane Structure and Behavior (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Physiology (291 citations) and Molecular Biology (3.4k citations). John P. Perkins has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Donal A. Walsh, E G Krebs, T K Harden, Joseph R. Bertino, Y F Su, Edwin G. Krebs, Cornelia Hertel, Gary L. Waldo, Richard B. Clark and Taro Hayakawa. Their work appears in journals such as Science, 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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