Lie Wang
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Molecular Biology top 5%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- DNA Repair Mechanisms
Papers in
- Immunology 31
- T-cell and B-cell Immunology 22
- IL-33, ST2, and ILC Pathways 6
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Qingyi Wei (29 shared papers)Rémy Bosselut (11 shared papers)Kathryn F. Wildt (4 shared papers)Erich M. Sturgis (11 shared papers)Zhijian Cai (4 shared papers)Lionel Feigenbaum (3 shared papers)Margaret R. Spitz (7 shared papers)Xuetao Cao (3 shared papers)
- Journals
- Carcinogenesis (8 papers)Cellular and Molecular Immunology (5 papers)Cancer (5 papers)The Journal of Immunology (4 papers)Molecular Carcinogenesis (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lie Wang
129 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 85
- Immunology 762
- Molecular Biology 861
- Otorhinolaryngology 84
- Cancer Research 159
- Molecular Medicine 68
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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 229 | |
| 2 | 2008 | 190 | |
| 3 | 2011 | 169 | |
| 4 | 2011 | 133 | |
| 5 | 2008 | 128 | |
| 6 | 2003 | 125 | |
| 7 | 2011 | 125 | |
| 8 | 2009 | 122 | |
| 9 | 2017 | 113 | |
| 10 | 2022 | 91 | |
| 11 | 2012 | 87 | |
| 12 | 2017 | 85 | |
| 13 | Polymorphisms of methylene-tetrahydrofolate reductase and risk of lung cancer: a case-control study. | 2001 | 74 |
| 14 | 2017 | 74 | |
| 15 | 2021 | 70 | |
| 16 | 2020 | 68 | |
| 17 | 2007 | 67 | |
| 18 | 2007 | 66 | |
| 19 | 2009 | 64 | |
| 20 | 2015 | 63 |
About Lie Wang
Lie Wang is a scholar working on Immunology, Cancer Research, Oncology, Otorhinolaryngology and Molecular Biology, having authored 135 papers that have together received 4.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (22 papers), IL-33, ST2, and ILC Pathways (6 papers), Head and Neck Cancer Studies (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer-related molecular mechanisms research (4 papers), Gastric Cancer Management and Outcomes (3 papers), Folate and B Vitamins Research (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Immunology (762 citations), Molecular Biology (861 citations), Otorhinolaryngology (84 citations), Cancer Research (159 citations) and Molecular Medicine (68 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, Erich M. Sturgis, Zhijian Cai, Lionel Feigenbaum, Margaret R. Spitz, Xuetao Cao, Yumei Xiong and Lino Tessarollo. Their work appears in journals such as Carcinogenesis, Cellular and Molecular Immunology, Cancer, The Journal of Immunology 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.