Susan Tomlin

1.5k citations
22 papers · 1.0k · h-index 13

Impact in

Papers in

Susan Tomlin

21 papers receiving 905 citations

Peers

Susan Tomlin
Comparison fields: 5 of 78
  • Behavioral Neuroscience 268
  • Endocrinology, Diabetes and Metabolism 370
  • Complementary and alternative medicine 141
  • Cellular and Molecular Neuroscience 157
  • Physiology 184
Replace D. Parrini with:
D. Parrini Italy
M. Jobin Canada
G. Bono Italy
P.A. Keenan United States
B. Greenwood-Van Meerveld United States
Thomas L. Garthwaite United States
M. L. Blair United States
M.T. Peng Taiwan
Bertha van der Dijs Venezuela
Kathleen S. Curtis United States
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Citations per field
00.5×4.4×
D. Parrini · 1×
Citations per year

Countries citing papers authored by Susan Tomlin

Since Specialization
Citations

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

Fields of papers citing papers by Susan Tomlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980286
2 1982151
3 1977107
4 1984106
5 1984103
6 198243
7 198540
8 197634
9 198330
10 198426
11 198422
12 198419
13 198612
14 200810
15 19886
16
The effect of fenfluramine and its derivatives on triglyceride secretion by the liver of the rabbit.
19755
17
Methionine-enkephalin precursor in neuroblastoma x glioma hybrid cells: in vivo and in vitro evidence.
19845
18 19883
19 19851
20 20081

About Susan Tomlin

Susan Tomlin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Physiology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (7 papers), Stress Responses and Cortisol (6 papers), Pituitary Gland Disorders and Treatments (4 papers), Adrenal Hormones and Disorders (4 papers), Pain Mechanisms and Treatments (3 papers), Pharmacological Effects and Assays (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Behavioral Neuroscience (268 citations), Endocrinology, Diabetes and Metabolism (370 citations), Complementary and alternative medicine (141 citations), Cellular and Molecular Neuroscience (157 citations) and Physiology (184 citations). Susan Tomlin has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Lesley Rees, LesleyH. Rees, G. M. Besser, Lorraine McLoughlin, Vicky Clement‐Jones, H.L. Wen, G. M. Besser, Les Perry, D.H. Coy and Ashley Grossman. Their work appears in journals such as Clinical Endocrinology, Neuroendocrinology, The Lancet, Burns and British Journal of Anaesthesia.

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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