Rachel H. Tan
- Equine top 1%
- Veterinary Equine Medical Research 9
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research 22
- Parkinson's Disease Mechanisms and Treatments 14
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 22
- Parkinson's Disease Mechanisms and Treatments 14
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 10
- Physiology top 5%
- Alzheimer's disease research and treatments 18
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- Neurogenetic and Muscular Disorders Research 7
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- Reproductive Physiology in Livestock 5
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- Cell Adhesion Molecules Research 4
- Co-authors
- Glenda M. HallidayMichael HornbergerJohn R. HodgesJillian J. KrilMatthew C. KiernanSaber SamiChristine C. GuoMuireann Irish
- Journals
- Acta Neuropathologica Communications (5 papers)Brain (4 papers)Journal of Veterinary Internal Medicine (4 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Rachel H. Tan
51 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Equine 183
- Neurology 821
- Neurology 318
- Psychiatry and Mental health 412
- Physiology 598
Countries citing papers authored by Rachel H. Tan
This map shows the geographic impact of Rachel H. Tan'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 Rachel H. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel H. Tan more than expected).
Fields of papers citing papers by Rachel H. Tan
This network shows the impact of papers produced by Rachel H. Tan. 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 Rachel H. Tan. The network helps show where Rachel H. Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel H. Tan, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 13 | |
| 7 | 2018 | 10 | |
| 8 | 2017 | 111 | |
| 9 | 2017 | 31 | |
| 10 | 2016 | 85 | |
| 11 | 2016 | 149 | |
| 12 | 2015 | 79 | |
| 13 | 2014 | 170 | |
| 14 | 2013 | 49 | |
| 15 | 2012 | 137 | |
| 16 | 2010 | 8 | |
| 17 | 2010 | 10 | |
| 18 | 2008 | 15 | |
| 19 | 2008 | 16 | |
| 20 | 2008 | 15 |
About Rachel H. Tan
Rachel H. Tan is a scholar working on Equine, Neurology and Immunology and Allergy, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (22 papers), Alzheimer's disease research and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (14 papers), Dementia and Cognitive Impairment Research (10 papers), Veterinary Equine Medical Research (9 papers), Neurogenetic and Muscular Disorders Research (7 papers), Reproductive Physiology in Livestock (5 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Equine (183 citations), Neurology (821 citations) and Neurology (318 citations). Rachel H. Tan has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Glenda M. Halliday, Michael Hornberger, John R. Hodges, Jillian J. Kril, Matthew C. Kiernan, Saber Sami, Christine C. Guo, Muireann Irish, Stephanie Wong and Emma Devenney. Their work appears in journals such as Acta Neuropathologica Communications, Brain, Journal of Veterinary Internal Medicine, Neurology and American Journal of Veterinary Research.
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.