Alan T. Lim

53 papers receiving 1.3k citations

Peers

Alan T. Lim
Comparison fields: 5 of 96
  • Behavioral Neuroscience 359
  • Endocrine and Autonomic Systems 147
  • Endocrinology, Diabetes and Metabolism 347
  • Cellular and Molecular Neuroscience 398
  • Obstetrics and Gynecology 127
Replace I. Chowers with:
I. Chowers Israel
F. Fraioli Italy
Junko Imaki Japan
Tomasz Ochędalski Poland
Roger Chang United States
M. L’Hermite Belgium
Véronique Baudrie France
S. Vincent Wu United States
William J. DeVito United States
I. C. A. F. Robinson United Kingdom
Alan T. Lim relative to I. Chowers Israel I. Chowers's profile →
Citations per field
00.5×5.3×
I. Chowers · 1×
Citations per year

Countries citing papers authored by Alan T. Lim

Since Specialization
Citations

This map shows the geographic impact of Alan T. Lim'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 Alan T. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan T. Lim more than expected).

Fields of papers citing papers by Alan T. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan T. Lim. 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 Alan T. Lim. The network helps show where Alan T. Lim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987229
2 1984163
3 198393
4 198287
5 198473
6 198973
7 198758
8 199156
9 198352
10 199044
11 198543
12 198442
13 198231
14 199129
15 199126
16 199522
17 199320
18 199220
19
Expression of the gene for arginine vasopressin in Brattleboro rats.
198418
20 199218

About Alan T. Lim

Alan T. Lim is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Social Psychology and Behavioral Neuroscience, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Hormonal Regulation and Hypertension (12 papers), Stress Responses and Cortisol (12 papers), Neuroendocrine regulation and behavior (11 papers), Neonatal Respiratory Health Research (8 papers), Receptor Mechanisms and Signaling (7 papers), Electrolyte and hormonal disorders (7 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Behavioral Neuroscience (359 citations), Endocrine and Autonomic Systems (147 citations), Endocrinology, Diabetes and Metabolism (347 citations), Cellular and Molecular Neuroscience (398 citations) and Obstetrics and Gynecology (127 citations). Alan T. Lim has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John W. Funder, David Copolov, Stephen J. Lolait, Wylie Vale, Felice Petraglia, B H Toh, Zhiyu Yang, Weiqing Huang, Jean Rivier and Paul E. Sawchenko. Their work appears in journals such as Endocrinology, Neuroendocrinology, Brain Research, The Journal of Clinical Endocrinology & Metabolism and Molecular Psychiatry.

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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