John Simms

75 papers receiving 2.7k citations

Peers

John Simms
Comparison fields: 5 of 131
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrinology, Diabetes and Metabolism 551
  • Health, Toxicology and Mutagenesis 454
  • Molecular Biology 1.8k
  • Endocrine and Autonomic Systems 103
Replace Satoru Sakuma with:
Satoru Sakuma Japan
Daniel Couri United States
Dandan Shen China
M Ma China
Zhaohui Zhang China
Wenxue Li China
Zoltán Rakonczay Hungary
Lihong Chen China
Adolf Baumgartner United Kingdom
Dong‐Zong Hung Taiwan
John Simms relative to Satoru Sakuma Japan Satoru Sakuma's profile →
Citations per field
00.5×10×12.5×
Satoru Sakuma · 1×
Citations per year

Countries citing papers authored by John Simms

Since Specialization
Citations

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

Fields of papers citing papers by John Simms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012245
2 2013194
3 2000191
4 2010185
5 2001180
6 2016122
7 2015105
8 201180
9 201179
10 201073
11 200073
12 200772
13 200160
14 200557
15 201655
16 201552
17 200948
18 200244
19 200943
20 200442

About John Simms

John Simms is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Social Psychology and Civil and Structural Engineering, having authored 76 papers that have together received 2.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (55 papers), Neuropeptides and Animal Physiology (44 papers), Neuroendocrine regulation and behavior (10 papers), Diabetes Treatment and Management (10 papers), Pharmacological Receptor Mechanisms and Effects (7 papers), Water Systems and Optimization (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Water Treatment and Disinfection (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Endocrinology, Diabetes and Metabolism (551 citations), Health, Toxicology and Mutagenesis (454 citations), Molecular Biology (1.8k citations) and Endocrine and Autonomic Systems (103 citations). John Simms has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Denise Wootten, Patrick M. Sexton, Arthur Christopoulos, David R. Poyner, John R. West, Nicholas B. Hallam, C.F. Forster, Laurence J. Miller, Mark Wheatley and Cassandra Koole. Their work appears in journals such as Biochemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes, Molecular Pharmacology, Journal of Biological Chemistry and Biochemical Society Transactions.

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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