Peter Keov

825 citations
18 papers · 639 · h-index 11

Impact in

Papers in

Peter Keov

18 papers receiving 633 citations

Peers

Peter Keov
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 311
  • Sensory Systems 45
  • Molecular Biology 467
  • Physiology 26
  • Endocrine and Autonomic Systems 31
Replace Zhidong Xie with:
Zhidong Xie Canada
Daniel Beacham United States
Hilary Highfield Nickols United States
K Kawashima Japan
Arno D.J. Maus United States
J. Robert Bostwick United States
Melanie S. Johnson United Kingdom
Yuji Tsuji Japan
Christophe Chouabe France
Kratika Daniel United States
Peter Keov relative to Zhidong Xie Canada Zhidong Xie's profile →
Citations per field
00.5×8.5×
Zhidong Xie · 1×
Citations per year

Countries citing papers authored by Peter Keov

Since Specialization
Citations

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

Fields of papers citing papers by Peter Keov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010222
2 201970
3 201455
4 201450
5 202145
6 201738
7 201734
8 201331
9 201828
10 201817
11 202115
12 20248
13 20188
14 20196
15 20246
16 20253
17 20242
18 20241

About Peter Keov

Peter Keov is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology, Biotechnology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 639 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (6 papers), Neuroendocrine regulation and behavior (5 papers), Biochemical and Structural Characterization (3 papers), Transgenic Plants and Applications (3 papers), Signaling Pathways in Disease (2 papers), Ion channel regulation and function (2 papers) and Electrolyte and hormonal disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (311 citations), Sensory Systems (45 citations), Molecular Biology (467 citations), Physiology (26 citations) and Endocrine and Autonomic Systems (31 citations). Peter Keov has collaborated with scholars based in Australia, Austria and United Kingdom. Frequent co-authors include Patrick M. Sexton, Arthur Christopoulos, Christian W. Gruber, J. Robert Lane, Markus Muttenthaler, Laura López, Sarah Arrowsmith, Céline Valant, Shane M. Devine and Peter J. Scammells. Their work appears in journals such as Scientific Reports, Journal of Biological Chemistry, Molecular Pharmacology, Frontiers in Pharmacology and Journal of Visualized Experiments.

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.

Explore authors with similar magnitude of impact