Yi-Hsin Wang
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
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- Vibrio bacteria research studies
Papers in
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- Signaling Pathways in Disease 3
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- Cardiac Ischemia and Reperfusion 5
- Co-authors
- Hsing-Hui Su (9 shared papers)Shiang‐Suo Huang (9 shared papers)Jiuan‐Miaw Liao (7 shared papers)Kemin Chen (6 shared papers)Yi‐Hung Chen (5 shared papers)Chyi‐Liang Chen (6 shared papers)Chia-Wei Lin (2 shared papers)Hao-Yuan Lee (3 shared papers)
- Journals
- Journal of Microbiology Immunology and Infection (4 papers)Frontiers in Pharmacology (2 papers)Journal of Molecular and Cellular Cardiology (1 paper)JOURNAL OF CHEMICAL ENGINEERING OF JAPAN (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yi-Hsin Wang
31 papers receiving 433 citations
Peers
Comparison fields: 5 of 108
- Molecular Medicine 49
- Endocrinology 27
- Geriatrics and Gerontology 10
- Complementary and alternative medicine 18
- Neurology 18
Countries citing papers authored by Yi-Hsin Wang
This map shows the geographic impact of Yi-Hsin Wang'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 Yi-Hsin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Hsin Wang more than expected).
Fields of papers citing papers by Yi-Hsin Wang
This network shows the impact of papers produced by Yi-Hsin Wang. 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 Yi-Hsin Wang. The network helps show where Yi-Hsin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi-Hsin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 54 | |
| 2 | 2016 | 36 | |
| 3 | 2021 | 34 | |
| 4 | 2022 | 29 | |
| 5 | 2018 | 29 | |
| 6 | 2019 | 28 | |
| 7 | 2017 | 25 | |
| 8 | 2013 | 24 | |
| 9 | 2015 | 22 | |
| 10 | 2010 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2013 | 17 | |
| 13 | 2022 | 15 | |
| 14 | 2024 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2013 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2024 | 7 |
About Yi-Hsin Wang
Yi-Hsin Wang is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Marketing, Information Systems and Molecular Medicine, having authored 32 papers that have together received 445 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (5 papers), Consumer Market Behavior and Pricing (5 papers), Antibiotic Resistance in Bacteria (4 papers), Calpain Protease Function and Regulation (3 papers), Signaling Pathways in Disease (3 papers), Customer churn and segmentation (3 papers), Vibrio bacteria research studies (2 papers) and Data Mining Algorithms and Applications (2 papers). The work is most often cited by research in Molecular Medicine (49 citations), Endocrinology (27 citations), Geriatrics and Gerontology (10 citations), Complementary and alternative medicine (18 citations) and Neurology (18 citations). Yi-Hsin Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hsing-Hui Su, Shiang‐Suo Huang, Jiuan‐Miaw Liao, Kemin Chen, Yi‐Hung Chen, Chyi‐Liang Chen, Chia-Wei Lin, Hao-Yuan Lee, I-Chun Chen and Cheng-Hsun Chiu. Their work appears in journals such as Journal of Microbiology Immunology and Infection, Frontiers in Pharmacology, Journal of Molecular and Cellular Cardiology, JOURNAL OF CHEMICAL ENGINEERING OF JAPAN and Knowledge-Based Systems.
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.