John G. Lewis

6.3k citations
174 papers · 5.0k · h-index 35

Impact in

Papers in

John G. Lewis

171 papers receiving 4.7k citations

Peers

John G. Lewis
Comparison fields: 5 of 150
  • Behavioral Neuroscience 779
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Reproductive Medicine 267
  • Rehabilitation 179
  • Biological Psychiatry 52
Replace Robert T. Chatterton with:
Robert T. Chatterton United States
G F Read United Kingdom
Erik Endert Netherlands
Anne White United Kingdom
Jacobo Wortsman United States
Andrew N. Margioris Greece
Karen E. Chapman United Kingdom
Egil Haug Norway
Peter Celec Slovakia
Andrea Fabbri Italy
John G. Lewis relative to Robert T. Chatterton United States Robert T. Chatterton's profile →
Citations per field
00.5×6.3×
Robert T. Chatterton · 1×
Citations per year

Countries citing papers authored by John G. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by John G. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006359
2 2011307
3 2006247
4 1996236
5 2005174
6
Steroid analysis in saliva: an overview.
2006144
7 2007135
8 1975120
9 1964111
10 199299
11 201698
12 201490
13 198586
14 199171
15 201567
16 200767
17 198967
18 199464
19 201756
20 197654

About John G. Lewis

John G. Lewis is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Behavioral Neuroscience, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 174 papers that have together received 5.0k indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (37 papers), Hormonal and reproductive studies (28 papers), Stress Responses and Cortisol (24 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Exercise and Physiological Responses (10 papers), Glycosylation and Glycoproteins Research (8 papers), Estrogen and related hormone effects (7 papers) and Vitamin D Research Studies (7 papers). The work is most often cited by research in Behavioral Neuroscience (779 citations), Endocrinology, Diabetes and Metabolism (1.4k citations), Reproductive Medicine (267 citations), Rehabilitation (179 citations) and Biological Psychiatry (52 citations). John G. Lewis has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Peter A. Elder, David J. Torpy, P.A. Elder, Jui T. Ho, Ari Levine, Orna Zagoory‐Sharon, Ruth Feldman, Aron Weller, R. Ghanadian and Warrick J. Inder. Their work appears in journals such as Clinica Chimica Acta, Steroids, Hormone and Metabolic Research, Clinical Endocrinology and The Journal of Clinical Endocrinology & Metabolism.

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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