John E. Folk

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

Impact in

Papers in

    • Neuropeptides and Animal Physiology 16
    • Neurotransmitter Receptor Influence on Behavior 7
    • Neuroscience and Neuropharmacology Research 5
    • Hereditary Neurological Disorders 2
    • Receptor Mechanisms and Signaling 9
    • Chemical Synthesis and Analysis 5
    • Pharmacological Receptor Mechanisms and Effects 5

John E. Folk

32 papers receiving 1.0k citations

Peers

John E. Folk
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 683
  • Behavioral Neuroscience 61
  • Physiology 293
  • Biochemistry 65
  • Molecular Biology 535
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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 200595
2 196195
3 200282
4 200172
5 200659
6 200358
7 200355
8 200455
9 200454
10 200549
11 200848
12 200844
13 200639
14 200829
15 201029
16 200527
17 201226
18 195723
19 200316
20 200515

About John E. Folk

John E. Folk is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pharmacology and Organic Chemistry, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (16 papers), Receptor Mechanisms and Signaling (9 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Pain Mechanisms and Treatments (7 papers), Chemical Synthesis and Analysis (5 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (683 citations), Behavioral Neuroscience (61 citations), Physiology (293 citations), Biochemistry (65 citations) and Molecular Biology (535 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 Catherine Ulibarri. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, Psychopharmacology, Bioorganic & Medicinal Chemistry and Journal of Pain.

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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