Peter King

116 papers receiving 5.2k citations

Peers

Peter King
Comparison fields: 5 of 143
  • Endocrine and Autonomic Systems 720
  • Endocrinology, Diabetes and Metabolism 755
  • Virology 175
  • Behavioral Neuroscience 111
  • Molecular Biology 1.9k
Replace Jean Sévigny with:
Jean Sévigny Canada
Petra Schwarz Switzerland
Hong Yu United States
Matthew C. Zimmerman United States
Christoph A. Meier Switzerland
Pierre‐Olivier Couraud France
Ignacio A. Romero United Kingdom
Davide Ferrari Italy
Soo Young Choi South Korea
Liping Zhao China
Peter King relative to Jean Sévigny Canada Jean Sévigny's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter King

Since Specialization
Citations

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

Fields of papers citing papers by Peter King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001446
2 2007368
3 2000241
4 1998178
5 2012173
6 2012163
7 2009161
8 2010133
9 1999132
10 2016129
11 2017112
12 2010109
13 2000105
14 2002103
15 201993
16 199987
17 199884
18 201176
19 200275
20 200475

About Peter King

Peter King is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Endocrine and Autonomic Systems and Genetics, having authored 118 papers that have together received 5.3k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (15 papers), Semiconductor materials and devices (11 papers), Epigenetics and DNA Methylation (10 papers), Receptor Mechanisms and Signaling (9 papers), HIV/AIDS drug development and treatment (8 papers), Neuropeptides and Animal Physiology (8 papers), Sexual Differentiation and Disorders (8 papers) and Hormonal Regulation and Hypertension (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (720 citations), Endocrinology, Diabetes and Metabolism (755 citations), Virology (175 citations), Behavioral Neuroscience (111 citations) and Molecular Biology (1.9k citations). Peter King has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Adrian J. L. Clark, Leonardo Guasti, William E. Robinson, John Newell‐Price, Joanne A. Harrold, Ed Laufer, Adrian Clark, Irina Bogdarina, Xue Cai and Simon Welham. Their work appears in journals such as Cancer Research, Molecular and Cellular Endocrinology, Molecular Cancer Therapeutics, Endocrinology and Journal of Vacuum Science & Technology A Vacuum Surfaces and Films.

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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