Denis G. Williamson

579 total citations
52 papers, 485 citations indexed

About

Denis G. Williamson is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Denis G. Williamson has authored 52 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 22 papers in Molecular Biology and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Denis G. Williamson's work include Estrogen and related hormone effects (27 papers), Steroid Chemistry and Biochemistry (17 papers) and Hormonal Regulation and Hypertension (11 papers). Denis G. Williamson is often cited by papers focused on Estrogen and related hormone effects (27 papers), Steroid Chemistry and Biochemistry (17 papers) and Hormonal Regulation and Hypertension (11 papers). Denis G. Williamson collaborates with scholars based in Canada, United States and Germany. Denis G. Williamson's co-authors include Donald S. Layne, Delwood C. Collins, Sadiq Hasnain, Rosalind S. Labow, Peter C. K. Lau, Peter Morand, Pierre Proulx, Seymour Bernstein, Gamil R. Antoun and Gary A. Quamme and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.

In The Last Decade

Denis G. Williamson

52 papers receiving 424 citations

Peers

Denis G. Williamson
Comparison fields: 5 of 75
  • Molecular Biology 201
  • Genetics 127
  • Endocrinology, Diabetes and Metabolism 125
  • Pharmacology 97
  • Cell Biology 77
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Citations per field, relative to Denis G. Williamson
Denis G. Williamson · 1×
Citations per year, relative to Denis G. Williamson
Denis G. Williamson · 1×

Countries citing papers authored by Denis G. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Denis G. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis G. Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Denis G. Williamson. A scholar is included among the top collaborators of Denis G. Williamson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Denis G. Williamson. Denis G. Williamson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2
Modulation of a renal estrogen receptor by protein kinase C.
5
3 4
4 9
5 2
6 3
7 7
8 8
9 2
10 7
11 3
12 2
13 12
14 4
15 37
16 4
17 2
18 28
19 15
20 6

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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