Shengjun Wang
Impact in
- Immunology top 0.5%
- T-cell and B-cell Immunology
- Immune cells in cancer
- Rheumatology top 0.5%
- Rheumatoid Arthritis Research and Therapies
Papers in
- Immunology 109
- T-cell and B-cell Immunology 43
- Immune cells in cancer 38
- Immunotherapy and Immune Responses 12
- Rheumatology 30
- Rheumatoid Arthritis Research and Therapies 22
- Co-authors
- Jie Tian (70 shared papers)Huaxi Xu (95 shared papers)Liwei Lu (50 shared papers)Ke Rui (38 shared papers)Xinyi Tang (37 shared papers)Jie Ma (37 shared papers)Yungang Wang (15 shared papers)Xinyu Tian (17 shared papers)
- Journals
- Frontiers in Immunology (26 papers)Journal of Immunology Research (10 papers)PLoS ONE (9 papers)Cellular and Molecular Immunology (7 papers)Immunologic Research (7 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shengjun Wang
274 papers receiving 11k citations
Peers
Comparison fields: 5 of 136
- Immunology 2.8k
- Rheumatology 1.1k
- Cancer Research 712
- Molecular Biology 2.8k
- Oncology 954
Countries citing papers authored by Shengjun Wang
This map shows the geographic impact of Shengjun 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 Shengjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjun Wang more than expected).
Fields of papers citing papers by Shengjun Wang
This network shows the impact of papers produced by Shengjun 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 Shengjun Wang. The network helps show where Shengjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengjun 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 285 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 290 | |
| 2 | 2012 | 236 | |
| 3 | 2019 | 235 | |
| 4 | 2020 | 232 | |
| 5 | 2019 | 228 | |
| 6 | 2021 | 227 | |
| 7 | 2015 | 212 | |
| 8 | 2010 | 210 | |
| 9 | 2011 | 204 | |
| 10 | 2021 | 192 | |
| 11 | 2019 | 189 | |
| 12 | 2014 | 185 | |
| 13 | 2011 | 176 | |
| 14 | 2013 | 174 | |
| 15 | 2014 | 169 | |
| 16 | 2012 | 142 | |
| 17 | 2019 | 128 | |
| 18 | 2022 | 124 | |
| 19 | 2013 | 120 | |
| 20 | 2021 | 120 |
About Shengjun Wang
Shengjun Wang is a scholar working on Immunology, Rheumatology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 285 papers that have together received 11.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (43 papers), Immune cells in cancer (38 papers), Rheumatoid Arthritis Research and Therapies (22 papers), Glycosylation and Glycoproteins Research (17 papers), Thyroid Disorders and Treatments (16 papers), Extracellular vesicles in disease (14 papers), Immunotherapy and Immune Responses (12 papers) and Salivary Gland Disorders and Functions (10 papers). The work is most often cited by research in Immunology (2.8k citations), Rheumatology (1.1k citations), Cancer Research (712 citations), Molecular Biology (2.8k citations) and Oncology (954 citations). Shengjun Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jie Tian, Huaxi Xu, Liwei Lu, Ke Rui, Xinyi Tang, Jie Ma, Yungang Wang, Xinyu Tian, Zhaoliang Su and Zhijun Jiao. Their work appears in journals such as Frontiers in Immunology, Journal of Immunology Research, PLoS ONE, Cellular and Molecular Immunology and Immunologic Research.
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.