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 9
- RNA modifications and cancer 8
- RNA Interference and Gene Delivery 8
- RNA Research and Splicing 7
- Cancer-related gene regulation 7
- Oncology 19
- 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)Huijie Bian (16 shared papers)Zhi‐Nan Chen (16 shared papers)
- Journals
- Journal of Virology (9 papers)Journal of Biological Chemistry (4 papers)PLoS ONE (4 papers)Hepatology (3 papers)Cancer Cell International (3 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Wei Ding
114 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 143
- Cancer Research 669
- Immunology 806
- Hepatology 300
- Agronomy and Crop Science 355
- Molecular Biology 2.2k
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 | 229 | |
| 2 | 2014 | 188 | |
| 3 | 2005 | 188 | |
| 4 | 2010 | 177 | |
| 5 | 2011 | 167 | |
| 6 | 2004 | 114 | |
| 7 | 2013 | 97 | |
| 8 | 2020 | 87 | |
| 9 | 2002 | 86 | |
| 10 | 2008 | 83 | |
| 11 | 2008 | 82 | |
| 12 | 2010 | 82 | |
| 13 | 2001 | 78 | |
| 14 | 2001 | 77 | |
| 15 | 2013 | 76 | |
| 16 | 2001 | 76 | |
| 17 | 2006 | 75 | |
| 18 | 2019 | 74 | |
| 19 | 2012 | 73 | |
| 20 | 2019 | 71 |
About Wei Ding
Wei Ding is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Epidemiology, having authored 122 papers that have together received 4.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (17 papers), Signaling Pathways in Disease (9 papers), RNA modifications and cancer (8 papers), RNA Interference and Gene Delivery (8 papers), T-cell and Retrovirus Studies (8 papers), RNA Research and Splicing (7 papers), Autophagy in Disease and Therapy (7 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Cancer Research (669 citations), Immunology (806 citations), Hepatology (300 citations), Agronomy and Crop Science (355 citations) and Molecular Biology (2.2k 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, Huijie Bian, Zhi‐Nan Chen, Björn Albrecht and Weiqing Zhang. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, PLoS ONE, 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.