V.G. Wilson

2.3k citations
83 papers · 2.0k indexed · h-index 24

V.G. Wilson

83 papers receiving 1.9k citations

Peers

V.G. Wilson
Comparison fields: 5 of 105
  • Endocrine and Autonomic Systems 222
  • Cellular and Molecular Neuroscience 510
  • Physiology 667
  • Cardiology and Cardiovascular Medicine 455
  • Biochemistry 95
Replace D. Moura with:
D. Moura Portugal
Tadashi Takewaki Japan
Rafael Villalobos‐Molina Mexico
Tohru Fushiki Japan
Mabayoje A. Oriowo Kuwait
T. Horn Germany
Ilari Paakkari Finland
Kashif Hanif India
Michèle Vacca Italy
Juejin Wang China
V.G. Wilson relative to D. Moura Portugal D. Moura's profile →
Citations per field
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D. Moura · 1×
Citations per year

Countries citing papers authored by V.G. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by V.G. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.G. Wilson. 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 V.G. Wilson. The network helps show where V.G. Wilson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20231
3 20021
4 200219
5 20018
6 199913
7 199958
8 19988
9 199819
10 199757
11 19956
12 199577
13 199135
14 199112
15 19912
16 198934
17 198987
18 19887
19 198824
20 198819

About V.G. Wilson

V.G. Wilson is a scholar working on Cellular and Molecular Neuroscience, Physiology, Endocrine and Autonomic Systems, Animal Science and Zoology and Molecular Biology, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (34 papers), Nitric Oxide and Endothelin Effects (14 papers), Neuropeptides and Animal Physiology (12 papers), Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Pain Mechanisms and Treatments (8 papers), Anorectal Disease Treatments and Outcomes (7 papers) and Pharmacological Effects and Assays (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (222 citations), Cellular and Molecular Neuroscience (510 citations), Physiology (667 citations), Cardiology and Cardiovascular Medicine (455 citations) and Biochemistry (95 citations). V.G. Wilson has collaborated with scholars based in United Kingdom, Czechia and France. Frequent co-authors include J.C. McGrath, William Dunn, Dave Kendal, C.J. Daly, Anthony F. Lever, Michael J. Mulvany, W. Carson Brown, Niels Korsgaard, Christine M. Brown and Robert J. Mason. Their work appears in journals such as British Journal of Pharmacology, Naunyn-Schmiedeberg s Archives of Pharmacology, British journal of surgery, Reproduction and Critical Care.

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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