Peter D. Williams

22 papers receiving 671 citations

Peers

Peter D. Williams
Comparison fields: 5 of 105
  • Endocrine and Autonomic Systems 119
  • Paleontology 127
  • Virology 33
  • Social Psychology 137
  • Organic Chemistry 163
Replace Fernando L. Renaud with:
Fernando L. Renaud Puerto Rico
Cláudio S. Shida Brazil
Samuel D. Robinson Australia
Helena Safavi-­Hemami United States
Philippe Favreau France
Natalie Lumsden Australia
Hiromi Shimomura Japan
Motohide Murate Japan
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James F. Berry United States
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Citations per year

Countries citing papers authored by Peter D. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017189
2 200678
3 199260
4 199850
5 201048
6 202146
7 199238
8 199135
9 200631
10 199322
11 201418
12 200216
13 201616
14 199914
15 202111
16 199811
17 199810
18 19906
19 19944
20 19934

About Peter D. Williams

Peter D. Williams is a scholar working on Social Psychology, Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 23 papers that have together received 712 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (11 papers), Receptor Mechanisms and Signaling (7 papers), Organic and Inorganic Chemical Reactions (4 papers), Chemical Reaction Mechanisms (4 papers), Neuropeptides and Animal Physiology (3 papers), Renin-Angiotensin System Studies (2 papers), Chemical Synthesis and Analysis (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (119 citations), Paleontology (127 citations), Virology (33 citations), Social Psychology (137 citations) and Organic Chemistry (163 citations). Peter D. Williams has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Leonid L. Moroz, Nathan V. Whelan, Kevin M. Kocot, Kenneth M. Halanych, Gustav Paulay, Krishanu Mukherjee, Tatiana P. Moroz, Roger Freidinger, Daniel F. Veber and Douglas J. Pettibone. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, European Journal of Pharmacology and Regulatory Peptides.

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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