Wei Ding
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Immunology top 5%
- T-cell and Retrovirus Studies
Papers in
-
- Signaling Pathways in Disease 8
- RNA Interference and Gene Delivery 7
- Viral Infectious Diseases and Gene Expression in Insects 7
- TGF-β signaling in diseases 6
- Genetics 18
- Virus-based gene therapy research 17
- 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 Zhang (2 shared papers)Carl Bart Rountree (3 shared papers)Zhi‐Nan Chen (16 shared papers)Huijie Bian (16 shared papers)
- Journals
- Journal of Virology (9 papers)PLoS ONE (4 papers)Journal of Biological Chemistry (4 papers)Hepatology (3 papers)Cancer Cell International (3 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Wei Ding
117 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 139
- Cancer Research 592
- Immunology 797
- Hepatology 273
- Agronomy and Crop Science 348
- Genetics 848
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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 241 | |
| 2 | 2005 | 204 | |
| 3 | 2014 | 195 | |
| 4 | 2010 | 188 | |
| 5 | 2011 | 168 | |
| 6 | 2004 | 115 | |
| 7 | 2013 | 100 | |
| 8 | 2020 | 91 | |
| 9 | 2002 | 91 | |
| 10 | 2008 | 88 | |
| 11 | 2008 | 87 | |
| 12 | 2010 | 85 | |
| 13 | 2001 | 80 | |
| 14 | 2001 | 79 | |
| 15 | 2019 | 78 | |
| 16 | 2006 | 78 | |
| 17 | 2013 | 78 | |
| 18 | 2001 | 77 | |
| 19 | 2019 | 75 | |
| 20 | 2012 | 74 |
About Wei Ding
Wei Ding is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Epidemiology, having authored 122 papers that have together received 4.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), T-cell and Retrovirus Studies (8 papers), Signaling Pathways in Disease (8 papers), RNA Interference and Gene Delivery (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Vector-Borne Animal Diseases (6 papers), TGF-β signaling in diseases (6 papers) and CAR-T cell therapy research (6 papers). The work is most often cited by research in Cancer Research (592 citations), Immunology (797 citations), Hepatology (273 citations), Agronomy and Crop Science (348 citations) and Genetics (848 citations). Wei Ding has collaborated with scholars based in China, United States and India. Frequent co-authors include John F. Engelhardt, Hanning You, Ziying Yan, Michael D. Lairmore, Liang Zhang, Carl Bart Rountree, Zhi‐Nan Chen, Huijie Bian, Björn Albrecht and Weiqing Zhang. Their work appears in journals such as Journal of Virology, PLoS ONE, Journal of Biological Chemistry, Hepatology and Cancer Cell International.
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.