Wei Ding
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Immunology top 5%
- T-cell and Retrovirus Studies
Papers in
-
- TGF-β signaling in diseases 9
- Genetics 14
- Virus-based gene therapy research 14
- Co-authors
- John F. Engelhardt (5 shared papers)Hanning You (3 shared papers)Ziying Yan (4 shared papers)Michael D. Lairmore (8 shared papers)Liang N. Zhang (2 shared papers)Carl Bart Rountree (3 shared papers)Björn Albrecht (5 shared papers)Weiqing Zhang (4 shared papers)
- Journals
- Journal of Virology (9 papers)PLoS ONE (4 papers)Journal of Biological Chemistry (4 papers)Cancer Cell International (3 papers)Hepatology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Ding
79 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 103
- Hepatology 280
- Immunology 506
- Genetics 733
- Oncology 388
- Virology 73
Countries citing papers authored by Wei Ding
This map shows the geographic impact of Wei Ding'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 Wei Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ding more than expected).
Fields of papers citing papers by Wei Ding
This network shows the impact of papers produced by Wei Ding. 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 Wei Ding. The network helps show where Wei Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ding, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 246 | |
| 2 | 2005 | 204 | |
| 3 | 2014 | 201 | |
| 4 | 2010 | 189 | |
| 5 | 2011 | 172 | |
| 6 | 2004 | 117 | |
| 7 | 2013 | 101 | |
| 8 | 2002 | 91 | |
| 9 | 2010 | 89 | |
| 10 | 2008 | 88 | |
| 11 | 2019 | 88 | |
| 12 | 2008 | 87 | |
| 13 | 2001 | 80 | |
| 14 | 2001 | 80 | |
| 15 | 2013 | 80 | |
| 16 | 2006 | 79 | |
| 17 | 2001 | 78 | |
| 18 | 2012 | 76 | |
| 19 | 2019 | 73 | |
| 20 | 2002 | 72 |
About Wei Ding
Wei Ding is a scholar working on Molecular Biology, Genetics, Hepatology, Immunology and Oncology, having authored 79 papers that have together received 3.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), TGF-β signaling in diseases (9 papers), T-cell and Retrovirus Studies (7 papers), Cancer Cells and Metastasis (5 papers), Liver physiology and pathology (4 papers), Autophagy in Disease and Therapy (4 papers), Acute Lymphoblastic Leukemia research (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Hepatology (280 citations), Immunology (506 citations), Genetics (733 citations), Oncology (388 citations) and Virology (73 citations). Wei Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include John F. Engelhardt, Hanning You, Ziying Yan, Michael D. Lairmore, Liang N. Zhang, Carl Bart Rountree, Björn Albrecht, Weiqing Zhang, Xiao-min Wang and Kathleen M. Mulder. Their work appears in journals such as Journal of Virology, PLoS ONE, Journal of Biological Chemistry, Cancer Cell International and Hepatology.
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.