John M. Dickenson

2.3k citations
77 papers · 1.9k · h-index 27

Impact in

Papers in

    • Receptor Mechanisms and Signaling 24
    • Protein Kinase Regulation and GTPase Signaling 10
    • Glycosylation and Glycoproteins Research 8
    • Adenosine and Purinergic Signaling 26

John M. Dickenson

77 papers receiving 1.9k citations

Peers

John M. Dickenson
Comparison fields: 5 of 106
  • Physiology 580
  • Cellular and Molecular Neuroscience 369
  • Molecular Biology 1.1k
  • Cell Biology 252
  • Pathology and Forensic Medicine 168
Replace Tadeusz Pawełczyk with:
Tadeusz Pawełczyk Poland
Madhu B. Anand‐Srivastava Canada
Lisa Juntti‐Berggren Sweden
David X. Zhang United States
Matthias Braun United Kingdom
Daniela Zablocki United States
Yun‐Feng Guan China
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Citations per field
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Citations per year

Countries citing papers authored by John M. Dickenson

Since Specialization
Citations

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

Fields of papers citing papers by John M. Dickenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003176
2 200084
3 200572
4 199870
5 199867
6 200665
7 199055
8 200552
9 200446
10 199744
11 199543
12 200542
13 200442
14 199239
15 201437
16 200137
17 199337
18 201837
19 199333
20 199131

About John M. Dickenson

John M. Dickenson is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Cell Biology and Pathology and Forensic Medicine, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (26 papers), Receptor Mechanisms and Signaling (24 papers), Cardiac Ischemia and Reperfusion (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Proteoglycans and glycosaminoglycans research (10 papers), Glycosylation and Glycoproteins Research (8 papers), Mast cells and histamine (8 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Physiology (580 citations), Cellular and Molecular Neuroscience (369 citations), Molecular Biology (1.1k citations), Cell Biology (252 citations) and Pathology and Forensic Medicine (168 citations). John M. Dickenson has collaborated with scholars based in United Kingdom, Ghana and Germany. Frequent co-authors include Stephen J. Hill, Renée Germack, Martin Griffin, Thomas N. Huckerby, Ian A. Nieduszynski, Alexander Robinson, Alan J. Hargreaves, Shiva Sivasubramaniam, Jonathan L. Blank and Stephen J. Briddon. Their work appears in journals such as British Journal of Pharmacology, European Journal of Pharmacology, Biochemical Journal, Biochemical Pharmacology and Biochemical Society Transactions.

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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