Dana J. Cohen

512 citations
19 papers · 432 indexed · h-index 12
Topics
Pharmacological Receptor Mechanisms and Effects (16 papers)Receptor Mechanisms and Signaling (14 papers)Neuropeptides and Animal Physiology (13 papers)
Partner nations
United States

In The Last Decade

Dana J. Cohen

19 papers receiving 427 citations

Peers

Dana J. Cohen
Comparison fields: 5 of 47
  • Molecular Biology 307
  • Cellular and Molecular Neuroscience 289
  • Organic Chemistry 71
  • Physiology 37
  • Pharmacology 36
Replace Jack J. Kinsora with:
Jack J. Kinsora United States
Brian I. Knapp United States
Ryszard Bugno Poland
Vincent M. Villar Spain
Simon N. Owen United States
K.C. Rice United States
Geoffrey Hornby United States
Annick Molines France
Joachim E. Roehr United States
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Dana J. Cohen relative to Jack J. Kinsora United States Jack J. Kinsora's profile →
Citations per field
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Jack J. Kinsora · 1×
Citations per year

Countries citing papers authored by Dana J. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Dana J. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana J. Cohen. 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 Dana J. Cohen. The network helps show where Dana J. Cohen may publish in the future.

Co-authorship network of co-authors of Dana J. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Dana J. Cohen. A scholar is included among the top collaborators of Dana J. Cohen 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 Dana J. Cohen. Dana J. Cohen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 7
3 9
4 85
5 7
6 6
7 36
8 8
9 25
10 13
11 18
12 23
13 27
14 45
15 23
16 1
17 23
18 21
19 51

About Dana J. Cohen

Dana J. Cohen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Organic Chemistry, having authored 19 papers that have together received 432 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (16 papers), Receptor Mechanisms and Signaling (14 papers) and Neuropeptides and Animal Physiology (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (289 citations), Molecular Biology (307 citations) and Biological Psychiatry (10 citations). Dana J. Cohen has collaborated with scholars based in United States. Frequent co-authors include Jean M. Bidlack, Mark P. Wentland, Rongliang Lou, Yingchun Ye, Qun Lu, Wenhu Duan, John L. Neumeyer, S. Stevens Negus, Nancy K. Mello and Jin Jin. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Bioorganic & Medicinal 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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