Lie Wang
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Immunology 45
- Immune Cell Function and Interaction 32
- T-cell and B-cell Immunology 26
- Immunotherapy and Immune Responses 9
- IL-33, ST2, and ILC Pathways 8
- Co-authors
- Qingyi Wei (29 shared papers)Rémy Bosselut (11 shared papers)Kathryn F. Wildt (4 shared papers)E. M Sturgis (12 shared papers)Zhijian Cai (4 shared papers)Lionel Feigenbaum (3 shared papers)Margaret R. Spitz (8 shared papers)Xuetao Cao (3 shared papers)
- Journals
- Carcinogenesis (7 papers)Cellular and Molecular Immunology (5 papers)Cancer (5 papers)International Journal of Cancer (4 papers)Molecular Carcinogenesis (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lie Wang
125 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 128
- Immunology 1.2k
- Cancer Research 676
- Oncology 649
- Molecular Biology 1.7k
- Molecular Medicine 74
Countries citing papers authored by Lie Wang
This map shows the geographic impact of Lie 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 Lie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lie Wang more than expected).
Fields of papers citing papers by Lie Wang
This network shows the impact of papers produced by Lie 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 Lie Wang. The network helps show where Lie Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lie 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 224 | |
| 2 | 2008 | 188 | |
| 3 | 2011 | 132 | |
| 4 | 2003 | 122 | |
| 5 | 2008 | 120 | |
| 6 | 2009 | 116 | |
| 7 | 2017 | 111 | |
| 8 | 2012 | 87 | |
| 9 | 2017 | 85 | |
| 10 | 2017 | 74 | |
| 11 | Polymorphisms of methylene-tetrahydrofolate reductase and risk of lung cancer: a case-control study. | 2001 | 71 |
| 12 | 2021 | 70 | |
| 13 | 2007 | 67 | |
| 14 | 2007 | 66 | |
| 15 | 2015 | 62 | |
| 16 | 2009 | 61 | |
| 17 | 2015 | 58 | |
| 18 | 2012 | 58 | |
| 19 | 2014 | 57 | |
| 20 | 2009 | 55 |
About Lie Wang
Lie Wang is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 133 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (26 papers), DNA Repair Mechanisms (13 papers), RNA modifications and cancer (10 papers), Immunotherapy and Immune Responses (9 papers), CAR-T cell therapy research (8 papers), IL-33, ST2, and ILC Pathways (8 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Immunology (1.2k citations), Cancer Research (676 citations), Oncology (649 citations), Molecular Biology (1.7k citations) and Molecular Medicine (74 citations). Lie Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingyi Wei, Rémy Bosselut, Kathryn F. Wildt, E. M Sturgis, Zhijian Cai, Lionel Feigenbaum, Margaret R. Spitz, Xuetao Cao, Lino Tessarollo and Yumei Xiong. Their work appears in journals such as Carcinogenesis, Cellular and Molecular Immunology, Cancer, International Journal of Cancer and Molecular Carcinogenesis.
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.