John Seth

613 citations
31 papers · 519 · h-index 11

Impact in

Papers in

John Seth

29 papers receiving 446 citations

Peers

John Seth
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 374
  • Behavioral Neuroscience 20
  • Endocrine and Autonomic Systems 25
  • Biological Psychiatry 7
  • Reproductive Medicine 23
Replace Javier Rodriguez-Arnao with:
Javier Rodriguez-Arnao United Kingdom
Katerina Saltiki Greece
Samarth Dhawan United States
Daniela Vejražková Czechia
Athanassios Souvatzoglou Greece
Lars Østergaard Kristensen Denmark
Gopal K. Rastogi India
Miroslava Hučková Slovakia
Y Fukushima Japan
Lily Agrawal United States
John Seth relative to Javier Rodriguez-Arnao United Kingdom Javier Rodriguez-Arnao's profile →
Citations per field
00.5×1.6×
Javier Rodriguez-Arnao · 1×
Citations per year

Countries citing papers authored by John Seth

Since Specialization
Citations

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

Fields of papers citing papers by John Seth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978112
2 198766
3 198059
4 200359
5 199939
6 199435
7 199925
8 197523
9 199412
10 200011
11 198711
12 20039
13 19949
14 19948
15 19948
16 19916
17 19965
18 19943
19 19943
20 19943

About John Seth

John Seth is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Physiology, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 31 papers that have together received 519 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Thyroid Disorders and Treatments (5 papers), Neuropeptides and Animal Physiology (4 papers), Lipid metabolism and disorders (2 papers), Biosimilars and Bioanalytical Methods (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (374 citations), Behavioral Neuroscience (20 citations), Endocrine and Autonomic Systems (25 citations), Biological Psychiatry (7 citations) and Reproductive Medicine (23 citations). John Seth has collaborated with scholars based in United Kingdom, Germany and Denmark. Frequent co-authors include Anthony D. Toft, Geoffrey J. Beckett, W J Irvine, E.H.D. Cameron, D.J. McIntosh, Ian Sinclair, Andy R Ellis, N. S. BROWN, Mark W. J. Strachan and Mary Stoddart. Their work appears in journals such as Annals of Clinical Biochemistry International Journal of Laboratory Medicine, The Journal of Clinical Endocrinology & Metabolism, Hormone Research in Paediatrics, Journal of Clinical Biochemistry and Nutrition and Clinical Chemistry.

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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