John E. Souness

1.6k citations
31 papers · 1.5k · h-index 19

Impact in

    • Phosphodiesterase function and regulation
    • Protein Kinase Regulation and GTPase Signaling
    • Protein Tyrosine Phosphatases
  • Physiology top 10%
    • Asthma and respiratory diseases
    • Adenosine and Purinergic Signaling

Papers in

    • Phosphodiesterase function and regulation 23
    • Protein Kinase Regulation and GTPase Signaling 2
    • Protein Tyrosine Phosphatases 2
    • Metabolism, Diabetes, and Cancer 2
    • Biochemical and Molecular Research 2
    • Adenosine and Purinergic Signaling 3

John E. Souness

31 papers receiving 1.1k citations

Peers

John E. Souness
Comparison fields: 5 of 75
  • Molecular Biology 951
  • Physiology 28
  • Physiology 152
  • Organic Chemistry 158
  • Rheumatology 55
Replace Toshimitsu Yamada with:
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John E. Souness relative to Toshimitsu Yamada Japan Toshimitsu Yamada's profile →
Citations per field
00.5×2×2.7×
Toshimitsu Yamada · 1×
Citations per year

Countries citing papers authored by John E. Souness

Since Specialization
Citations

This map shows the geographic impact of John E. Souness'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. Souness 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. Souness more than expected).

Fields of papers citing papers by John E. Souness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000216
2 1997163
3 1996109
4 199199
5 199498
6 198974
7 199274
8 200171
9 200261
10 199359
11 199448
12 199642
13 200340
14 199337
15 200135
16 199234
17 199731
18 199820
19 199819
20 199819

About John E. Souness

John E. Souness is a scholar working on Molecular Biology, Physiology, Biochemistry, Rheumatology and Oncology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (23 papers), Adenosine and Purinergic Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Protein Tyrosine Phosphatases (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Lipid metabolism and biosynthesis (2 papers), Biochemical and Molecular Research (2 papers) and Synthesis and biological activity (1 paper). The work is most often cited by research in Molecular Biology (951 citations), Physiology (28 citations), Physiology (152 citations), Organic Chemistry (158 citations) and Rheumatology (55 citations). John E. Souness has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Sudha R. Rao, Carol A. Sargent, David Aldous, Malcolm N. Palfreyman, Jan‐Anders Karlsson, Christopher Maslen, Lorna J. Wood, Roy Jordan, David Raeburn and Adrian Tomkinson. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemical Pharmacology, British Journal of Pharmacology, FEBS Letters and Journal of Medicinal Chemistry.

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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