Hui Wang
Impact in
- Immunology top 0.5%
- Immune Cell Function and Interaction
- interferon and immune responses
- Immune cells in cancer
- Immune Response and Inflammation
- Virology top 1%
- HIV Research and Treatment
Papers in
-
- Ubiquitin and proteasome pathways 25
- Immunology 193
- Immune Cell Function and Interaction 61
- interferon and immune responses 39
- Immune Response and Inflammation 34
- Immune cells in cancer 31
- Co-authors
- Andrew D. Rowan (14 shared papers)Tim E. Cawston (8 shared papers)David A. Young (10 shared papers)Jianping Ye (9 shared papers)Yong‐Guang Yang (11 shared papers)Yunwei Lou (13 shared papers)Yuna Niu (6 shared papers)Gary J. Litherland (5 shared papers)
- Journals
- Frontiers in Immunology (14 papers)Blood (13 papers)PLoS ONE (12 papers)Scientific Reports (11 papers)Biochemical and Biophysical Research Communications (9 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hui Wang
669 papers receiving 16.3k citations
Hui Wang's Hit Papers
Peers
Comparison fields: 5 of 174
- Immunology 3.4k
- Virology 573
- Cancer Research 1.7k
- Oncology 2.4k
- Molecular Biology 6.0k
Countries citing papers authored by Hui Wang
This map shows the geographic impact of Hui Wang'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 Hui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Wang more than expected).
Fields of papers citing papers by Hui Wang
This network shows the impact of papers produced by Hui Wang. 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 Hui Wang. The network helps show where Hui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Wang, 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 707 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | TET2 mutations predict response to hypomethylating agents in myelodysplastic syndrome patients Hit paper breakdown → | 2014 | 408 |
| 2 | 2019 | 298 | |
| 3 | 2020 | 277 | |
| 4 | 2009 | 274 | |
| 5 | 2004 | 233 | |
| 6 | 2001 | 231 | |
| 7 | 2013 | 207 | |
| 8 | 1999 | 197 | |
| 9 | 2002 | 190 | |
| 10 | 2011 | 183 | |
| 11 | Global burden and trends of lung cancer incidence and mortality Hit paper breakdown → | 2023 | 174 |
| 12 | 2021 | 171 | |
| 13 | 2014 | 159 | |
| 14 | 2013 | 151 | |
| 15 | 2011 | 132 | |
| 16 | 2018 | 131 | |
| 17 | 2002 | 131 | |
| 18 | 2014 | 124 | |
| 19 | 2020 | 115 | |
| 20 | 2017 | 115 |
About Hui Wang
Hui Wang is a scholar working on Molecular Biology, Immunology, Epidemiology, Oncology and Surgery, having authored 707 papers that have together received 16.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (61 papers), interferon and immune responses (39 papers), Immune Response and Inflammation (34 papers), Autophagy in Disease and Therapy (34 papers), Immune cells in cancer (31 papers), Ubiquitin and proteasome pathways (25 papers), CAR-T cell therapy research (22 papers) and Cytokine Signaling Pathways and Interactions (19 papers). The work is most often cited by research in Immunology (3.4k citations), Virology (573 citations), Cancer Research (1.7k citations), Oncology (2.4k citations) and Molecular Biology (6.0k citations). Hui Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Andrew D. Rowan, Tim E. Cawston, David A. Young, Jianping Ye, Yong‐Guang Yang, Yunwei Lou, Yuna Niu, Gary J. Litherland, Liangwei Duan and Qianqian Zheng. Their work appears in journals such as Frontiers in Immunology, Blood, PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.