Alan T. Lim
Impact in
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
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- Neuropeptides and Animal Physiology
Papers in
-
- Stress Responses and Cortisol 12
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- Hormonal Regulation and Hypertension 12
- Co-authors
- John W. FunderDavid CopolovStephen J. LolaitWylie ValeB H TohFelice PetragliaWeiqing HuangZhiyu Yang
- Journals
- Endocrinology (16 papers)Neuroendocrinology (5 papers)Brain Research (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Alan T. Lim
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Behavioral Neuroscience 378
- Cellular and Molecular Neuroscience 430
- Endocrine and Autonomic Systems 144
- Endocrinology, Diabetes and Metabolism 343
- Reproductive Medicine 145
Countries citing papers authored by Alan T. Lim
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2000 | 5 | |
| 3 | 2000 | 11 | |
| 4 | 2000 | 16 | |
| 5 | 1999 | 12 | |
| 6 | 1996 | 2 | |
| 7 | 1995 | 9 | |
| 8 | 1994 | 12 | |
| 9 | 1994 | 10 | |
| 10 | 1994 | 8 | |
| 11 | 1994 | 2 | |
| 12 | 1993 | 13 | |
| 13 | Atrial natriuretic peptide (ANP) is a physiological inhibitor of adrenocorticotrophin (ACTH) secretion in the rat | 1992 | 1 |
| 14 | 1991 | 50 | |
| 15 | 1991 | 26 | |
| 16 | 1990 | 16 | |
| 17 | 1989 | 71 | |
| 18 | 1987 | 49 | |
| 19 | 1983 | 11 | |
| 20 | 1982 | 14 |
About Alan T. Lim
Alan T. Lim is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 54 papers that have together received 1.4k 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), Electrolyte and hormonal disorders (7 papers), Receptor Mechanisms and Signaling (7 papers) and Hypothalamic control of reproductive hormones (6 papers). The work is most often cited by research in Behavioral Neuroscience (378 citations), Cellular and Molecular Neuroscience (430 citations), Endocrine and Autonomic Systems (144 citations), Endocrinology, Diabetes and Metabolism (343 citations) and Reproductive Medicine (145 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, B H Toh, Felice Petraglia, Weiqing Huang, Zhiyu Yang, Jean Rivier and Paul E. Sawchenko. Their work appears in journals such as Endocrinology, Neuroendocrinology, Brain Research, The Journal of Clinical Endocrinology & Metabolism and Journal of Clinical Investigation.
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.