Nan-Yu Chen
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Virology top 10%
- HIV Research and Treatment
Papers in
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- HIV/AIDS drug development and treatment 2
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- Intracerebral and Subarachnoid Hemorrhage Research 2
- Co-authors
- Zhuo‐Hao Liu (15 shared papers)Po‐Hsun Tu (6 shared papers)Ting‐Shu Wu (7 shared papers)Ping K. Yip (7 shared papers)Shih‐Tseng Lee (2 shared papers)Chieh‐Tsai Wu (2 shared papers)Felipe Diaz‐Griffero (1 shared paper)Ariberto Fassati (1 shared paper)
- Journals
- International Journal of Infectious Diseases (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)International Journal of Molecular Sciences (2 papers)Pharmaceutics (1 paper)AIDS Care (1 paper)
- Partner nations
- TaiwanUnited KingdomSwitzerland
In The Last Decade
Nan-Yu Chen
19 papers receiving 264 citations
Peers
Comparison fields: 5 of 58
- Microbiology 15
- Virology 51
- Infectious Diseases 79
- Microbiology 24
- Small Animals 22
Countries citing papers authored by Nan-Yu Chen
This map shows the geographic impact of Nan-Yu Chen'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 Nan-Yu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan-Yu Chen more than expected).
Fields of papers citing papers by Nan-Yu Chen
This network shows the impact of papers produced by Nan-Yu Chen. 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 Nan-Yu Chen. The network helps show where Nan-Yu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan-Yu Chen, 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 | 46 | |
| 2 | 2017 | 35 | |
| 3 | 2020 | 24 | |
| 4 | 2015 | 22 | |
| 5 | 2010 | 21 | |
| 6 | 2017 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2011 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 11 | |
| 12 | Clinical prediction of endemic rickettsioses in northern Taiwan--relevance of peripheral blood atypical lymphocytes. | 2008 | 10 |
| 13 | 2019 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2019 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Nan-Yu Chen
Nan-Yu Chen is a scholar working on Infectious Diseases, Neurology, Epidemiology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 267 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (2 papers), Bacterial Infections and Vaccines (2 papers), Mycobacterium research and diagnosis (2 papers), HIV/AIDS drug development and treatment (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Echinoderm biology and ecology (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Microbiology (15 citations), Virology (51 citations), Infectious Diseases (79 citations), Microbiology (24 citations) and Small Animals (22 citations). Nan-Yu Chen has collaborated with scholars based in Taiwan, United Kingdom and Switzerland. Frequent co-authors include Zhuo‐Hao Liu, Po‐Hsun Tu, Ting‐Shu Wu, Ping K. Yip, Shih‐Tseng Lee, Chieh‐Tsai Wu, Felipe Diaz‐Griffero, Ariberto Fassati, Silvana Opp and Cheng‐Hsun Chiu. Their work appears in journals such as International Journal of Infectious Diseases, Journal of Antimicrobial Chemotherapy, International Journal of Molecular Sciences, Pharmaceutics and AIDS Care.
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.