Lin Wang
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 1%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
-
- Ubiquitin and proteasome pathways 22
- Wnt/β-catenin signaling in development and cancer 13
- Signaling Pathways in Disease 12
- Oncology 74
- Cytokine Signaling Pathways and Interactions 24
- Co-authors
- Hua Yu (4 shared papers)Drew M. Pardoll (3 shared papers)Tangsheng Yi (3 shared papers)Marcin Kortylewski (3 shared papers)Jihong Pan (32 shared papers)Defu Zeng (2 shared papers)Feng Xu (6 shared papers)Bo Han (17 shared papers)
- Journals
- Blood (8 papers)Cancer Research (6 papers)Oncotarget (6 papers)Arthritis Research & Therapy (6 papers)Scientific Reports (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lin Wang
310 papers receiving 8.3k citations
Lin Wang's Hit Papers
Peers
Comparison fields: 5 of 169
- Cancer Research 1.2k
- Immunology 1.6k
- Parasitology 434
- Oncology 1.7k
- Molecular Biology 3.4k
Countries citing papers authored by Lin Wang
This map shows the geographic impact of Lin 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 Lin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Wang more than expected).
Fields of papers citing papers by Lin Wang
This network shows the impact of papers produced by Lin 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 Lin Wang. The network helps show where Lin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 323 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IL-17 can promote tumor growth through an IL-6–Stat3 signaling pathway Hit paper breakdown → | 2009 | 675 |
| 2 | 2011 | 308 | |
| 3 | 2005 | 281 | |
| 4 | 2013 | 219 | |
| 5 | 2012 | 183 | |
| 6 | 2011 | 169 | |
| 7 | 2012 | 150 | |
| 8 | 2010 | 146 | |
| 9 | 2012 | 128 | |
| 10 | 2005 | 123 | |
| 11 | 2002 | 115 | |
| 12 | 2019 | 107 | |
| 13 | 2020 | 105 | |
| 14 | 2009 | 99 | |
| 15 | 2013 | 98 | |
| 16 | 2015 | 84 | |
| 17 | 2017 | 77 | |
| 18 | 2008 | 76 | |
| 19 | 2020 | 76 | |
| 20 | 2014 | 72 |
About Lin Wang
Lin Wang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Cell Biology, having authored 323 papers that have together received 8.4k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (24 papers), Ubiquitin and proteasome pathways (22 papers), Prostate Cancer Treatment and Research (16 papers), Wnt/β-catenin signaling in development and cancer (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Signaling Pathways in Disease (12 papers), Cancer-related molecular mechanisms research (11 papers) and Rheumatoid Arthritis Research and Therapies (11 papers). The work is most often cited by research in Cancer Research (1.2k citations), Immunology (1.6k citations), Parasitology (434 citations), Oncology (1.7k citations) and Molecular Biology (3.4k citations). Lin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hua Yu, Drew M. Pardoll, Tangsheng Yi, Marcin Kortylewski, Jihong Pan, Defu Zeng, Feng Xu, Bo Han, Tian Jian Lu and Guoyou Huang. Their work appears in journals such as Blood, Cancer Research, Oncotarget, Arthritis Research & Therapy and Scientific Reports.
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.