S.M. Foord

3.0k citations
19 papers · 553 · h-index 13

Impact in

Papers in

S.M. Foord

19 papers receiving 523 citations

Peers

S.M. Foord
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 263
  • Endocrinology, Diabetes and Metabolism 172
  • Endocrine and Autonomic Systems 58
  • Molecular Biology 302
  • Behavioral Neuroscience 15
Replace Donald V. Daniels with:
Donald V. Daniels United States
G. V. Shah United States
Jean-Claude Camus Belgium
André Ribet France
Jinfen Song United States
J. Ham United Kingdom
Colette N. Thaw United States
S. Heisler Canada
Jean Pierre Maffrand France
Nengyu Yang United States
S.M. Foord relative to Donald V. Daniels United States Donald V. Daniels's profile →
Citations per field
00.5×1.5×
Donald V. Daniels · 1×
Citations per year

Countries citing papers authored by S.M. Foord

Since Specialization
Citations

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

Fields of papers citing papers by S.M. Foord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.M. Foord. 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 S.M. Foord. The network helps show where S.M. Foord may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1999121
2 199970
3 198354
4 198549
5 200245
6 200235
7 199831
8 198529
9 198325
10 198323
11 198615
12 198712
13 199912
14 198311
15 19859
16 19858
17 19852
18 19931
19 20031

About S.M. Foord

S.M. Foord is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Molecular Biology, Oncology and Surgery, having authored 19 papers that have together received 553 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (6 papers), Thyroid Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Pancreatic function and diabetes (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (263 citations), Endocrinology, Diabetes and Metabolism (172 citations), Endocrine and Autonomic Systems (58 citations), Molecular Biology (302 citations) and Behavioral Neuroscience (15 citations). S.M. Foord has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Carlos Diéguez, M. F. Scanlon, R. Hall, Terry Kenakin, Wen-Ji Chen, Susan Armour, Joanna D. Holbrook, S Jupe, John R. Peters and Anthony McGregor. Their work appears in journals such as Clinical Endocrinology, Biochemical Society Transactions, Journal of Endocrinology, Journal of Pharmacology and Experimental Therapeutics and Life Sciences.

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.

Explore authors with similar magnitude of impact