John Simms

3.5k citations
74 papers · 2.6k indexed · h-index 28

John Simms

72 papers receiving 2.6k citations

Peers

John Simms
Comparison fields: 5 of 129
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrinology, Diabetes and Metabolism 549
  • Health, Toxicology and Mutagenesis 443
  • Molecular Biology 1.7k
  • Civil and Structural Engineering 346
Replace Satoru Sakuma with:
Satoru Sakuma Japan
Paola Palestini Italy
M Ma China
Zhaohui Zhang China
Lihong Chen China
Wenxue Li China
Adolf Baumgartner United Kingdom
Yanning Li China
Wei-Ting Chen Taiwan
Xiaofei An China
John Simms relative to Satoru Sakuma Japan Satoru Sakuma's profile →
Citations per field
00.5×10×15.7×
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-authorship network

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
#Work
1 20233
2 202025
3 201914
4 20181
5 201829
6 201819
7 20174
8 2016119
9 201599
10 201552
11 2012233
12 201120
13 201177
14 201176
15 201027
16 200946
17 200638
18
PARKS: HOW FAR IS TOO FAR?
200415
19 20022
20 19912

About John Simms

John Simms is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (53 papers), Neuropeptides and Animal Physiology (42 papers), Neuroendocrine regulation and behavior (10 papers), Diabetes Treatment and Management (9 papers), Water Systems and Optimization (6 papers), Pharmacological Receptor Mechanisms and Effects (6 papers), Peptidase Inhibition and Analysis (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Endocrinology, Diabetes and Metabolism (549 citations) and Health, Toxicology and Mutagenesis (443 citations). John Simms has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Denise Wootten, Patrick M. Sexton, Arthur Christopoulos, David R. Poyner, John R. West, C.F. Forster, Nicholas B. Hallam, Laurence J. Miller, Mark Wheatley and Cassandra Koole. Their work appears in journals such as Biochemistry, Molecular Pharmacology, Biochimica et Biophysica Acta (BBA) - Biomembranes, 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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