Jean M. Bidlack

5.4k citations
156 papers · 4.2k indexed · h-index 37
Topics
Neuropeptides and Animal Physiology (116 papers)Receptor Mechanisms and Signaling (91 papers)Pharmacological Receptor Mechanisms and Effects (69 papers)
Partner nations
United StatesIndiaItaly

In The Last Decade

Jean M. Bidlack

154 papers receiving 4.1k citations

Peers

Jean M. Bidlack
Comparison fields: 5 of 105
  • Molecular Biology 2.7k
  • Cellular and Molecular Neuroscience 2.6k
  • Physiology 585
  • Organic Chemistry 357
  • Neurology 321
Replace Georgy Bakalkin with:
Georgy Bakalkin Sweden
Anthony S. Basile United States
Meritxell Canals Australia
Lee‐Yuan Liu‐Chen United States
Jennifer L. Whistler United States
Dong Wu China
Claire Gavériaux‐Ruff France
Jay P. McLaughlin United States
Scott E. Hemby United States
Mei‐Chuan Ko United States
Jean M. Bidlack relative to Georgy Bakalkin Sweden Georgy Bakalkin's profile →
Citations per field
00.5×10×15×20×23.8×
Georgy Bakalkin · 1×
Citations per year

Countries citing papers authored by Jean M. Bidlack

Since Specialization
Citations

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

Fields of papers citing papers by Jean M. Bidlack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean M. Bidlack

This figure shows the co-authorship network connecting the top 25 collaborators of Jean M. Bidlack. A scholar is included among the top collaborators of Jean M. Bidlack 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 Jean M. Bidlack. Jean M. Bidlack 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 1
2 0
3 8
4 6
5 50
6 10
7 10
8 22
9 8
10 10
11 15
12 23
13 42
14 27
15 23
16 61
17 28
18 27
19 4
20 18

About Jean M. Bidlack

Jean M. Bidlack is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Microbiology, having authored 156 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (116 papers), Receptor Mechanisms and Signaling (91 papers) and Pharmacological Receptor Mechanisms and Effects (69 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.6k citations), Neurology (321 citations) and Molecular Biology (2.7k citations). Jean M. Bidlack has collaborated with scholars based in United States, India and Italy. Frequent co-authors include John L. Neumeyer, Brian I. Knapp, Mark P. Wentland, Leo G. Abood, Sydney Archer, Dana J. Cohen, Alan V. Smrcka, Burt M. Sharp, Sabita Roy and Nancy K. Mello. 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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