William H. Simmons

1.3k citations
39 papers · 909 · h-index 19

Impact in

Papers in

William H. Simmons

38 papers receiving 881 citations

Peers

William H. Simmons
Comparison fields: 5 of 101
  • Genetics 290
  • Cellular and Molecular Neuroscience 322
  • Endocrine and Autonomic Systems 86
  • Oncology 316
  • Behavioral Neuroscience 27
Replace Nour‐Eddine Rhaleb with:
Nour‐Eddine Rhaleb Canada
N. Rouissi Canada
Albert Chang United States
Ann MacLaren United Kingdom
Anne-Laure Lattion Switzerland
Sabine Herterich Germany
John McDaid United States
Sharon G. McDowall Australia
J M Allen United Kingdom
Thomas M. Connor United Kingdom
William H. Simmons relative to Nour‐Eddine Rhaleb Canada Nour‐Eddine Rhaleb's profile →
Citations per field
00.5×4.5×
Nour‐Eddine Rhaleb · 1×
Citations per year

Countries citing papers authored by William H. Simmons

Since Specialization
Citations

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

Fields of papers citing papers by William H. Simmons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William H. Simmons. 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 William H. Simmons. The network helps show where William H. Simmons may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200292
2 201063
3 198162
4 198359
5 199948
6 199542
7 200038
8 200536
9 199734
10
Principles Of Medical Biochemistry
199832
11 199131
12 199531
13 198630
14 199927
15 200525
16 200424
17 199924
18 198520
19 198018
20 198418

About William H. Simmons

William H. Simmons is a scholar working on Cellular and Molecular Neuroscience, Oncology, Molecular Biology, Genetics and Social Psychology, having authored 39 papers that have together received 909 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (21 papers), Peptidase Inhibition and Analysis (17 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers), Neuroendocrine regulation and behavior (8 papers), Renin-Angiotensin System Studies (6 papers), Receptor Mechanisms and Signaling (6 papers), Signaling Pathways in Disease (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Genetics (290 citations), Cellular and Molecular Neuroscience (322 citations), Endocrine and Autonomic Systems (86 citations), Oncology (316 citations) and Behavioral Neuroscience (27 citations). William H. Simmons has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Gerhard Meisenberg, Arthur T. Orawski, Çağatay Erşahin, Nancy J. Brown, Margaret Prechel, Taizo Kita, Daisuke Tsuru, Tadashi Yoshimoto, Tina V. Hartert and Laine J. Murphey. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Peptides, Life Sciences, Biochemistry and Journal of Pineal Research.

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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