Jack Peter Green

2.8k citations
74 papers · 1.9k · h-index 23

Impact in

Papers in

    • Receptor Mechanisms and Signaling 11
    • Polyamine Metabolism and Applications 8
    • Chemical Synthesis and Analysis 7
    • Mast cells and histamine 17

Jack Peter Green

73 papers receiving 1.8k citations

Peers

Jack Peter Green
Comparison fields: 5 of 104
  • Sensory Systems 219
  • Biochemistry 231
  • Cellular and Molecular Neuroscience 547
  • Immunology 474
  • Endocrine and Autonomic Systems 107
Replace G. Vincendon with:
G. Vincendon France
Raymond S.L. Chang United States
Marlon Cowart United States
Henk Timmerman Netherlands
Richard W. Ransom United States
Robert H. Dodd France
H. Timmerman Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Jack Peter Green

Since Specialization
Citations

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

Fields of papers citing papers by Jack Peter Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Peter Green. 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 Jack Peter Green. The network helps show where Jack Peter Green may publish in the future.

Co-authors

The 25 scholars most cited alongside Jack Peter Green, 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 Jack Peter Green Line = papers co-authored together Jack Peter Green links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974235
2 1988145
3 1995105
4 197691
5 198589
6 198484
7 196868
8 196559
9 196057
10 197051
11 198150
12 198243
13 199641
14 198638
15 196533
16 198131
17 196230
18 197028
19 198328
20 196525

About Jack Peter Green

Jack Peter Green is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Biochemistry and Physiology, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mast cells and histamine (17 papers), Receptor Mechanisms and Signaling (11 papers), Amino Acid Enzymes and Metabolism (9 papers), Polyamine Metabolism and Applications (8 papers), Chemical Synthesis and Analysis (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Olfactory and Sensory Function Studies (7 papers) and Analytical Chemistry and Chromatography (6 papers). The work is most often cited by research in Sensory Systems (219 citations), Biochemistry (231 citations), Cellular and Molecular Neuroscience (547 citations), Immunology (474 citations) and Endocrine and Autonomic Systems (107 citations). Jack Peter Green has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include J. K. Khandelwal, Lindsay B. Hough, Marian Orłowski, Grazia Sessa, Harel Weinstein, Sungzong Kang, Joseph D. Robinson, Patrizio Blandina, Joseph Goldfarb and Carl L. Johnson. Their work appears in journals such as Biochemical Pharmacology, Journal of Neurochemistry, Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology and Annals of the New York Academy of Sciences.

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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