Gordon Watson

1.4k citations
42 papers · 1.2k indexed · h-index 20

Impact in

Papers in

Gordon Watson

41 papers receiving 1.2k citations

Peers

Gordon Watson
Comparison fields: 5 of 92
  • Biochemistry 219
  • Endocrinology, Diabetes and Metabolism 210
  • Molecular Biology 860
  • Genetics 306
  • Cell Biology 126
Replace F G Berger with:
F G Berger United States
Susan Zollman United States
Mireille Vasseur-Cognet France
Seiko Masuda Japan
Chiseko Noda Japan
Michelle V. Winstead United States
F. Märki Switzerland
F. Russo-Marie France
Manfred Alexander United States
Mari K. Haddox United States
Gordon Watson relative to F G Berger United States F G Berger's profile →
Citations per field
00.5×1.7×
F G Berger · 1×
Citations per year

Countries citing papers authored by Gordon Watson

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon Watson. 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 Gordon Watson. The network helps show where Gordon Watson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20176
2 20154
3 201512
4 201323
5 201246
6 20108
7 201010
8 20093
9 200727
10 199977
11 19993
12 19937
13 19931
14 199014
15 1989105
16 19876
17 198688
18 198148
19 197947
20 19721

About Gordon Watson

Gordon Watson is a scholar working on Equine, Molecular Biology, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Genetics, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Hormonal and reproductive studies (4 papers), Estrogen and related hormone effects (4 papers), Virus-based gene therapy research (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Biochemistry (219 citations), Endocrinology, Diabetes and Metabolism (210 citations), Molecular Biology (860 citations), Genetics (306 citations) and Cell Biology (126 citations). Gordon Watson has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Kenneth Paigen, F G Berger, Paweł Szymański, Cesar Labarca, Carl A. Elliger, Verne M. Chapman, Kenneth W. Gross, David S. Loose, Franklin G. Berger and Herman Meisner. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, The Journal of Steroid Biochemistry and Molecular Biology, Molecular and Cellular Endocrinology and Biochemical Genetics.

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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