Lie Wang
- Immunology top 2%
- Immune Cell Function and Interaction 30
- T-cell and B-cell Immunology 24
- Immunotherapy and Immune Responses 9
- Cancer Research top 2%
- Oncology top 5%
- Cancer-related Molecular Pathways 7
- Molecular Biology top 5%
- RNA modifications and cancer 15
- DNA Repair Mechanisms 14
- Epigenetics and DNA Methylation 9
-
- Gastric Cancer Management and Outcomes 7
- Co-authors
- Qingyi WeiRémy BosselutKathryn F. WildtErich M. SturgisMargaret R. SpitzLionel FeigenbaumYumei XiongLino Tessarollo
- Cited by
- ImmunologyCancer ResearchOncology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lie Wang
127 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 130
- Immunology 1.1k
- Cancer Research 723
- Oncology 716
- Molecular Biology 1.7k
- Applied Microbiology and Biotechnology 50
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 15 | |
| 13 | 2020 | 44 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 21 | |
| 16 | 2017 | 1 | |
| 17 | 2017 | 2 | |
| 18 | 2008 | 19 | |
| 19 | Haplotypes of Two Variants in p16 (CDKN2/MTS-1/INK4a ) Exon 3 and Risk of Squamous Cell Carcinoma of the Head and Neck: | 2002 | 1 |
| 20 | Polymorphisms of Methylene-tetrahydrofolate Reductase and Risk of Lung Cancer | 2001 | 1 |
About Lie Wang
Lie Wang is a scholar working on Immunology, Cancer Research, Oncology, Molecular Biology and Gastroenterology, having authored 130 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (24 papers), RNA modifications and cancer (15 papers), DNA Repair Mechanisms (14 papers), Immunotherapy and Immune Responses (9 papers), Epigenetics and DNA Methylation (9 papers), Cancer-related Molecular Pathways (7 papers) and Gastric Cancer Management and Outcomes (7 papers). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (723 citations), Oncology (716 citations), Molecular Biology (1.7k citations) and Applied Microbiology and Biotechnology (50 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, Margaret R. Spitz, Lionel Feigenbaum, Yumei Xiong, Lino Tessarollo, Zhensheng Liu and Donghong Niu. Their work appears in journals such as Carcinogenesis, Cancer, Cellular and Molecular Immunology, Frontiers in Immunology and The Journal of Immunology.
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.