Ying‐Hsiu Su
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Epidemiology 26
- Herpesvirus Infections and Treatments 15
- Hepatitis B Virus Studies 10
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- Cancer Genomics and Diagnostics 19
- Co-authors
- Timothy M. Block (27 shared papers)Dean E. Brenner (6 shared papers)Surbhi Jain (19 shared papers)Mengjun Wang (5 shared papers)Wei Song (19 shared papers)Robert N. Lausch (4 shared papers)John E. Oakes (4 shared papers)Selena Y. Lin (21 shared papers)
- Journals
- Journal of Virology (8 papers)Cancer Research (5 papers)Journal of NeuroVirology (4 papers)Scientific Reports (3 papers)Journal of Molecular Diagnostics (3 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Ying‐Hsiu Su
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Cancer Research 461
- Hepatology 142
- Epidemiology 529
- Virology 72
- Immunology 189
Countries citing papers authored by Ying‐Hsiu Su
This map shows the geographic impact of Ying‐Hsiu Su'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 Ying‐Hsiu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Hsiu Su more than expected).
Fields of papers citing papers by Ying‐Hsiu Su
This network shows the impact of papers produced by Ying‐Hsiu Su. 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 Ying‐Hsiu Su. The network helps show where Ying‐Hsiu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying‐Hsiu Su, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 189 | |
| 2 | 1996 | 101 | |
| 3 | 2008 | 88 | |
| 4 | 1996 | 63 | |
| 5 | 1990 | 52 | |
| 6 | 2004 | 49 | |
| 7 | 2017 | 48 | |
| 8 | 2012 | 47 | |
| 9 | 2011 | 45 | |
| 10 | 2019 | 44 | |
| 11 | 2015 | 41 | |
| 12 | 1996 | 40 | |
| 13 | 2008 | 37 | |
| 14 | 2004 | 36 | |
| 15 | 1997 | 31 | |
| 16 | 2005 | 31 | |
| 17 | 2014 | 30 | |
| 18 | 2002 | 27 | |
| 19 | 2018 | 25 | |
| 20 | 1999 | 25 |
About Ying‐Hsiu Su
Ying‐Hsiu Su is a scholar working on Epidemiology, Cancer Research, Molecular Biology, Oncology and Hepatology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (19 papers), Herpesvirus Infections and Treatments (15 papers), Hepatitis B Virus Studies (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Epigenetics and DNA Methylation (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Genetic factors in colorectal cancer (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Cancer Research (461 citations), Hepatology (142 citations), Epidemiology (529 citations), Virology (72 citations) and Immunology (189 citations). Ying‐Hsiu Su has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Timothy M. Block, Dean E. Brenner, Surbhi Jain, Mengjun Wang, Wei Song, Robert N. Lausch, John E. Oakes, Selena Y. Lin, Samuil R. Umansky and Hovsep Melkonyan. Their work appears in journals such as Journal of Virology, Cancer Research, Journal of NeuroVirology, Scientific Reports and Journal of Molecular Diagnostics.
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.