Kevin Docherty

154 papers receiving 5.5k citations

Hit Papers

Post-Translational Proteolysis in Polypeptide Hormone Biosynthesis 1982 · 520 citations
5201982202619962011100200300400500

Peers

Kevin Docherty
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Surgery 2.9k
  • Genetics 1.8k
  • Cell Biology 945
  • Molecular Biology 3.2k
Replace Y. Oka with:
Y. Oka Japan
Robert A. Screaton Canada
Enzo Lalli France
Johannes Nimpf Austria
D F Steiner United States
John W.M. Creemers Belgium
R Humbel Switzerland
Min Guo China
Jean‐Marie Gasc France
George E.O. Muscat Australia
Kevin Docherty relative to Y. Oka Japan Y. Oka's profile →
Citations per field
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Y. Oka · 1×
Citations per year

Countries citing papers authored by Kevin Docherty

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Docherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Post-Translational Proteolysis in Polypeptide Hormone Biosynthesis
Hit paper breakdown →
1982520
2 2001212
3 1999201
4 1999178
5 1997150
6 1990137
7 2008129
8 2006126
9 1994116
10 1984112
11 1982112
12 1994111
13 1992104
14 200195
15 200793
16 201684
17 199683
18 198480
19 198378
20 199577

About Kevin Docherty

Kevin Docherty is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 157 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (76 papers), Diabetes and associated disorders (32 papers), Metabolism, Diabetes, and Cancer (25 papers), Genetics and Neurodevelopmental Disorders (14 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Diabetes Management and Research (12 papers), Thyroid Disorders and Treatments (12 papers) and Pluripotent Stem Cells Research (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Surgery (2.9k citations), Genetics (1.8k citations), Cell Biology (945 citations) and Molecular Biology (3.2k citations). Kevin Docherty has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Donald F. Steiner, Andrew R. Clark, K I J Shennan, Wendy M. Macfarlane, Caroline M. McKinnon, C. R. M. Hay, David S.W. Boam, Raymond J. Carroll, Roger F.L. James and Andreia S. Bernardo. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Journal of Molecular Endocrinology, Journal of Endocrinology and FEBS Letters.

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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