John E. Folk

1.3k citations
33 papers · 1.1k · h-index 18

Impact in

Papers in

    • Neuropeptides and Animal Physiology 15
    • Neurotransmitter Receptor Influence on Behavior 7
    • Neuroscience and Neuropharmacology Research 4
    • Genetic Neurodegenerative Diseases 2
    • Receptor Mechanisms and Signaling 9
    • Chemical Synthesis and Analysis 5
    • Pharmacological Receptor Mechanisms and Effects 4

John E. Folk

32 papers receiving 1.1k citations

Peers

John E. Folk
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 661
  • Behavioral Neuroscience 48
  • Physiology 255
  • Biochemistry 69
  • Biological Psychiatry 19
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Citations per field
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Citations per year

Countries citing papers authored by John E. Folk

Since Specialization
Citations

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

Fields of papers citing papers by John E. Folk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John E. Folk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John E. Folk Line = papers co-authored together John E. Folk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1961107
2 200599
3 200287
4 200177
5 200667
6 200362
7 200356
8 200456
9 200454
10 200551
11 200849
12 200847
13 200640
14 195732
15 201030
16 200830
17 200529
18 201227
19 200516
20 201016

About John E. Folk

John E. Folk is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Organic Chemistry and Pharmacology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (9 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Pain Mechanisms and Treatments (5 papers), Chemical Synthesis and Analysis (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Pharmacological Receptor Mechanisms and Effects (4 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (661 citations), Behavioral Neuroscience (48 citations), Physiology (255 citations), Biochemistry (69 citations) and Biological Psychiatry (19 citations). John E. Folk has collaborated with scholars based in United States and China. Frequent co-authors include Kenner C. Rice, James H. Woods, George G. Glenner, Emily M. Jutkiewicz, S. Stevens Negus, John R. Traynor, Glenn W. Stevenson, Mary M. Torregrossa, Stanley J. Watson and Rebecca M. Craft. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, Bioorganic & Medicinal Chemistry, Psychopharmacology and Journal of Neurochemistry.

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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