Tin-Yun Ho
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 1%
- Pharmacological Effects of Natural Compounds
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 8
- Neurological Disease Mechanisms and Treatments 5
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- Traditional Chinese Medicine Analysis 6
- Co-authors
- Ching‐Liang HsiehNou-Ying TangChien‐Yun HsiangChin-Yi ChengShan-Yu SuHsin-Yi LoChang‐Chi HsiehFuu‐Jen Tsai
- Journals
- The American Journal of Chinese Medicine (6 papers)PLoS ONE (4 papers)BMC Complementary and Alternative Medicine (3 papers)Acta Pharmacologica Sinica (2 papers)Phytomedicine (2 papers)
- Partner nations
- Taiwan
In The Last Decade
Tin-Yun Ho
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 117
- Complementary and alternative medicine 390
- Pharmacology 413
- Neurology 219
- Biological Psychiatry 29
- Biochemistry 69
Countries citing papers authored by Tin-Yun Ho
This map shows the geographic impact of Tin-Yun Ho'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 Tin-Yun Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tin-Yun Ho more than expected).
Fields of papers citing papers by Tin-Yun Ho
This network shows the impact of papers produced by Tin-Yun Ho. 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 Tin-Yun Ho. The network helps show where Tin-Yun Ho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tin-Yun Ho, 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 | 2018 | 19 | |
| 2 | 2016 | 37 | |
| 3 | 2015 | 43 | |
| 4 | 2014 | 10 | |
| 5 | 2014 | 47 | |
| 6 | 2012 | 133 | |
| 7 | 2012 | 10 | |
| 8 | 2011 | 26 | |
| 9 | 2011 | 20 | |
| 10 | 2010 | 27 | |
| 11 | 2010 | 61 | |
| 12 | 2010 | 8 | |
| 13 | 2009 | 40 | |
| 14 | 2008 | 74 | |
| 15 | 2008 | 179 | |
| 16 | 2008 | 5 | |
| 17 | 2005 | 10 | |
| 18 | 1998 | 8 | |
| 19 | 1996 | 6 | |
| 20 | 1996 | 10 |
About Tin-Yun Ho
Tin-Yun Ho is a scholar working on Neurology, Complementary and alternative medicine, Pharmacology, Otorhinolaryngology and Pharmacology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Traditional Chinese Medicine Analysis (6 papers), Neurological Disease Mechanisms and Treatments (5 papers), NF-κB Signaling Pathways (5 papers), Pharmacological Effects of Natural Compounds (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Herpesvirus Infections and Treatments (3 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Complementary and alternative medicine (390 citations), Pharmacology (413 citations), Neurology (219 citations), Biological Psychiatry (29 citations) and Biochemistry (69 citations). Tin-Yun Ho has collaborated with scholars based in Taiwan. Frequent co-authors include Ching‐Liang Hsieh, Nou-Ying Tang, Chien‐Yun Hsiang, Chin-Yi Cheng, Shan-Yu Su, Hsin-Yi Lo, Chang‐Chi Hsieh, Fuu‐Jen Tsai, Shih‐Lu Wu and Pei-Dawn Lee Chao. Their work appears in journals such as The American Journal of Chinese Medicine, PLoS ONE, BMC Complementary and Alternative Medicine, Acta Pharmacologica Sinica and Phytomedicine.
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.