Ellen Xia
Impact in
- Hepatology top 2%
- Hepatitis C virus research
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- Computational Drug Discovery Methods
Papers in
- Hepatology 21
- Hepatitis C virus research 21
-
- RNA and protein synthesis mechanisms 1
- Co-authors
- Angela Skelton (5 shared papers)Andrew Prongay (4 shared papers)F. George Njoroge (4 shared papers)Xinchun Tong (1 shared paper)Anil K. Saksena (1 shared paper)Stephane L. Bogen (1 shared paper)VIYYOOR M. GIRIJAVALLABHAN (1 shared paper)Stephanie Curry (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (7 papers)Antimicrobial Agents and Chemotherapy (5 papers)Antiviral Research (2 papers)Journal of Hepatology (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ellen Xia
21 papers receiving 985 citations
Peers
Comparison fields: 5 of 56
- Hepatology 585
- Computational Theory and Mathematics 108
- Molecular Biology 281
- Molecular Medicine 18
- Infectious Diseases 45
Countries citing papers authored by Ellen Xia
This map shows the geographic impact of Ellen Xia'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 Ellen Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen Xia more than expected).
Fields of papers citing papers by Ellen Xia
This network shows the impact of papers produced by Ellen Xia. 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 Ellen Xia. The network helps show where Ellen Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen Xia, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 331 | |
| 2 | 2006 | 266 | |
| 3 | 2008 | 114 | |
| 4 | 2016 | 49 | |
| 5 | 2016 | 40 | |
| 6 | 2006 | 37 | |
| 7 | 2009 | 36 | |
| 8 | 2010 | 35 | |
| 9 | 2016 | 23 | |
| 10 | 2013 | 18 | |
| 11 | 2003 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2009 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2016 | 11 | |
| 18 | 2012 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2001 | 4 |
About Ellen Xia
Ellen Xia is a scholar working on Hepatology, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (21 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Hepatology (585 citations), Computational Theory and Mathematics (108 citations), Molecular Biology (281 citations), Molecular Medicine (18 citations) and Infectious Diseases (45 citations). Ellen Xia has collaborated with scholars based in United States and China. Frequent co-authors include Angela Skelton, Andrew Prongay, F. George Njoroge, Xinchun Tong, Anil K. Saksena, Stephane L. Bogen, VIYYOOR M. GIRIJAVALLABHAN, Stephanie Curry, Frederick C. Lahser and Bruce A. Malcolm. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Antimicrobial Agents and Chemotherapy, Antiviral Research, Journal of Hepatology and Journal of Medicinal Chemistry.
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.