Hailing Yan
Impact in
- Hepatology top 5%
- Hepatitis C virus research
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- Monoclonal and Polyclonal Antibodies Research
- Effects of Radiation Exposure
Papers in
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- Molecular Biology Techniques and Applications 2
- Advanced biosensing and bioanalysis techniques 1
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- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Mong‐Hsun Tsai (5 shared papers)Shuping Zhao (4 shared papers)William DeGraff (2 shared papers)John A. Cook (2 shared papers)C. Norman Coleman (3 shared papers)Eric Y. Chuang (4 shared papers)James B. Mitchell (2 shared papers)Gadisetti V.R. Chandramouli (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cancer Research (2 papers)Journal of Virology (2 papers)Microbiology Spectrum (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Hailing Yan
15 papers receiving 516 citations
Peers
Comparison fields: 5 of 83
- Hepatology 130
- Radiology, Nuclear Medicine and Imaging 142
- Virology 28
- Oncology 132
- Immunology 100
Countries citing papers authored by Hailing Yan
This map shows the geographic impact of Hailing Yan'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 Hailing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Yan more than expected).
Fields of papers citing papers by Hailing Yan
This network shows the impact of papers produced by Hailing Yan. 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 Hailing Yan. The network helps show where Hailing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailing Yan, 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 | 2007 | 171 | |
| 2 | Gene expression after treatment with hydrogen peroxide, menadione, or t-butyl hydroperoxide in breast cancer cells. | 2002 | 96 |
| 3 | 2013 | 47 | |
| 4 | 2016 | 42 | |
| 5 | 2014 | 38 | |
| 6 | 2005 | 35 | |
| 7 | 2012 | 27 | |
| 8 | 2014 | 14 | |
| 9 | 1997 | 13 | |
| 10 | 2014 | 13 | |
| 11 | 2006 | 9 | |
| 12 | 1996 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2005 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 0 |
About Hailing Yan
Hailing Yan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hepatology, Epidemiology and Oncology, having authored 16 papers that have together received 525 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Hepatitis B Virus Studies (4 papers), Molecular Biology Techniques and Applications (2 papers), Cancer-related Molecular Pathways (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Hepatology (130 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Virology (28 citations), Oncology (132 citations) and Immunology (100 citations). Hailing Yan has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Mong‐Hsun Tsai, Shuping Zhao, William DeGraff, John A. Cook, C. Norman Coleman, Eric Y. Chuang, James B. Mitchell, Gadisetti V.R. Chandramouli, Lilin Zhong and Evi Struble. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Journal of Virology, Microbiology Spectrum and Frontiers in Plant Science.
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.