Dean Tran
Impact in
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- Regulation of Appetite and Obesity
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
- Ovarian function and disorders
Papers in
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- Regulation of Appetite and Obesity 3
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- Receptor Mechanisms and Signaling 1
- Co-authors
- Denise D. Belsham (4 shared papers)Prasad S. Dalvi (2 shared papers)Jennifer A. Chalmers (2 shared papers)Michael B. Wheeler (1 shared paper)Serge Luquet (1 shared paper)Leigh Wellhauser (1 shared paper)Julien Castel (1 shared paper)Ying Liu (1 shared paper)
- Journals
- Molecular and Cellular Endocrinology (2 papers)Molecular Endocrinology (1 paper)Annals of Neurology (1 paper)International Journal of Obesity (1 paper)Frontiers in Human Neuroscience (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Dean Tran
6 papers receiving 331 citations
Peers
Comparison fields: 5 of 69
- Endocrine and Autonomic Systems 112
- Reproductive Medicine 54
- Behavioral Neuroscience 18
- Neurology 39
- Biological Psychiatry 10
Countries citing papers authored by Dean Tran
This map shows the geographic impact of Dean Tran'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 Dean Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean Tran more than expected).
Fields of papers citing papers by Dean Tran
This network shows the impact of papers produced by Dean Tran. 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 Dean Tran. The network helps show where Dean Tran may publish in the future.
Co-authors
The 20 scholars most cited alongside Dean Tran, 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 | 2016 | 174 | |
| 2 | 2016 | 45 | |
| 3 | 2016 | 40 | |
| 4 | 2022 | 37 | |
| 5 | 2016 | 34 | |
| 6 | 2023 | 4 |
About Dean Tran
Dean Tran is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Reproductive Medicine, Cognitive Neuroscience and Epidemiology, having authored 6 papers that have together received 334 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (3 papers), Hypothalamic control of reproductive hormones (2 papers), Alzheimer's disease research and treatments (1 paper), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Trace Elements in Health (1 paper), Traumatic Brain Injury Research (1 paper), Receptor Mechanisms and Signaling (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (112 citations), Reproductive Medicine (54 citations), Behavioral Neuroscience (18 citations), Neurology (39 citations) and Biological Psychiatry (10 citations). Dean Tran has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Denise D. Belsham, Prasad S. Dalvi, Jennifer A. Chalmers, Michael B. Wheeler, Serge Luquet, Leigh Wellhauser, Julien Castel, Ying Liu, Marios Georgiadis and Michael Zeineh. Their work appears in journals such as Molecular and Cellular Endocrinology, Molecular Endocrinology, Annals of Neurology, International Journal of Obesity and Frontiers in Human Neuroscience.
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.