John E. Folk

1.3k citations
32 papers · 1.2k · h-index 18

Impact in

Papers in

John E. Folk

32 papers receiving 1.1k citations

Peers

John E. Folk
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 584
  • Anesthesiology and Pain Medicine 76
  • Biochemistry 57
  • Physiology 211
  • Pharmacology 98
Replace Sui‐Po Zhang with:
Sui‐Po Zhang United States
Hiroshi Kaneto Japan
Louis L. Martin United States
Janet A. Clark United States
Mayumi Nakajima Japan
J.K. Webb United Kingdom
Keith J. Martin United Kingdom
Tetsuo Oka Japan
Tiina J. Kotti Finland
Davide Malfacini Italy
John E. Folk relative to Sui‐Po Zhang United States Sui‐Po Zhang's profile →
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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1961106
2 2005103
3 200291
4 200176
5 200668
6 200361
7 200357
8 200455
9 200455
10 200551
11 200850
12 200847
13 200640
14 195733
15 201032
16 200830
17 200529
18 201229
19 200516
20 201016

About John E. Folk

John E. Folk is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Physiology, Organic Chemistry and Biochemistry, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Pain Mechanisms and Treatments (5 papers), Chemical Synthesis and Analysis (4 papers), Alkaloids: synthesis and pharmacology (3 papers), Asymmetric Synthesis and Catalysis (3 papers), Receptor Mechanisms and Signaling (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (584 citations), Anesthesiology and Pain Medicine (76 citations), Biochemistry (57 citations), Physiology (211 citations) and Pharmacology (98 citations). John E. Folk has collaborated with scholars based in United States. Frequent co-authors include Kenner C. Rice, James Henry Woods, George G. Glenner, Emily M. Jutkiewicz, Sidney Stevens Negus, John R. Traynor, Glenn W. Stevenson, Rebecca M. Craft, Stanley J. Watson and Mary M. Torregrossa. 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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