Hailing Yan
Impact in
- Hepatology top 5%
- Hepatitis C virus research
Papers in
-
- Molecular Biology Techniques and Applications 2
- DNA Repair Mechanisms 1
- Glycosylation and Glycoproteins Research 1
- Gene expression and cancer classification 1
-
- Hepatitis C virus research 7
- Co-authors
- Shuping Zhao (4 shared papers)Mong‐Hsun Tsai (4 shared papers)William DeGraff (2 shared papers)John A. Cook (2 shared papers)Eric Y. Chuang (4 shared papers)C. Norman Coleman (3 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)Journal of Virology (2 papers)Cancer Research (2 papers)Mammalian Genome (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Hailing Yan
16 papers receiving 522 citations
Peers
Comparison fields: 5 of 80
- Hepatology 129
- Virology 28
- Radiology, Nuclear Medicine and Imaging 127
- Immunology 94
- Oncology 116
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 | 172 | |
| 2 | Gene expression after treatment with hydrogen peroxide, menadione, or t-butyl hydroperoxide in breast cancer cells. | 2002 | 100 |
| 3 | 2013 | 48 | |
| 4 | 2016 | 43 | |
| 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 | 1 |
About Hailing Yan
Hailing Yan is a scholar working on Molecular Biology, Hepatology, Radiology, Nuclear Medicine and Imaging, Epidemiology and Oncology, having authored 16 papers that have together received 533 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Hepatitis B Virus Studies (3 papers), Cancer-related Molecular Pathways (2 papers), Molecular Biology Techniques and Applications (2 papers), DNA Repair Mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Hepatology (129 citations), Virology (28 citations), Radiology, Nuclear Medicine and Imaging (127 citations), Immunology (94 citations) and Oncology (116 citations). Hailing Yan has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Shuping Zhao, Mong‐Hsun Tsai, William DeGraff, John A. Cook, Eric Y. Chuang, C. Norman Coleman, James B. Mitchell, Gadisetti V.R. Chandramouli, Lu Deng and Evi Struble. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, Cancer Research, Mammalian Genome and Oncogene.
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.