Peter G. Smith

15.5k citations
263 papers · 8.3k · h-index 48

Impact in

Papers in

Peter G. Smith

255 papers receiving 7.9k citations

Peers

Peter G. Smith
Comparison fields: 5 of 190
  • Endocrine and Autonomic Systems 416
  • Reproductive Medicine 500
  • Cellular and Molecular Neuroscience 971
  • Molecular Biology 2.9k
  • Behavioral Neuroscience 145
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S M Hsu United States
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Niels Marcussen Denmark
Jiang Gu China
Hiroyuki Sasaki Japan
Tsuneo Fujita Japan
Hiroshi Itoh Japan
Wesley G. Beamer United States
Ho Jae Han South Korea
Takashi Tanaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Peter G. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Peter G. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000477
2 2016271
3 2010243
4 2010227
5 2002196
6 2010190
7 2009186
8 2004158
9 2013154
10 2011138
11 2004130
12 2011130
13 2006114
14 2011113
15 1993109
16 200494
17 200392
18 201392
19 197392
20 200089

About Peter G. Smith

Peter G. Smith is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Physiology and Oncology, having authored 263 papers that have together received 8.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (33 papers), Neuropeptides and Animal Physiology (26 papers), Neuroscience of respiration and sleep (22 papers), Nerve injury and regeneration (18 papers), Pain Mechanisms and Treatments (15 papers), Neuroendocrine regulation and behavior (13 papers), Hypothalamic control of reproductive hormones (12 papers) and Protein Degradation and Inhibitors (11 papers). The work is most often cited by research in Endocrine and Autonomic Systems (416 citations), Reproductive Medicine (500 citations), Cellular and Molecular Neuroscience (971 citations), Molecular Biology (2.9k citations) and Behavioral Neuroscience (145 citations). Peter G. Smith has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include E. N. Clare Mills, Elena V. Zoubina, Wohaib Hasan, Michael A. Milhollen, Dora Krizsan‐Agbas, Teresa A. Soucy, Jena J. Steinle, Usha Narayanan, Mark Rolfe and Manxi Liu. Their work appears in journals such as Neuroscience, Blood, Molecular Cancer Therapeutics, Aquaculture and Otolaryngology.

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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