Mingjun Wang
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in ⓘ
-
- vaccines and immunoinformatics approaches 14
- Machine Learning in Bioinformatics 10
- Immunology 45
- Immunotherapy and Immune Responses 22
- Immune Cell Function and Interaction 11
- T-cell and B-cell Immunology 9
- Co-authors
- Rong‐Fu Wang (12 shared papers)Helen Y. Wang (11 shared papers)Jiangning Song (9 shared papers)Mogens H. Claësson (12 shared papers)Geoffrey I. Webb (3 shared papers)Bingnan Yin (4 shared papers)Hao Tan (4 shared papers)James C. Whisstock (2 shared papers)
- Journals
- PLoS ONE (8 papers)Surgical Endoscopy (4 papers)Scientific Reports (3 papers)Immunity (3 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Mingjun Wang
142 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 152
- Immunology 936
- Oncology 653
- Cancer Research 335
- Molecular Biology 1.4k
- Molecular Medicine 69
Countries citing papers authored by Mingjun Wang
This map shows the geographic impact of Mingjun 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 Mingjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Wang more than expected).
Fields of papers citing papers by Mingjun Wang
This network shows the impact of papers produced by Mingjun 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 Mingjun Wang. The network helps show where Mingjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjun 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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 155 | |
| 2 | 2012 | 134 | |
| 3 | 2014 | 123 | |
| 4 | 2014 | 117 | |
| 5 | 2021 | 116 | |
| 6 | 2015 | 115 | |
| 7 | 2016 | 111 | |
| 8 | 2015 | 105 | |
| 9 | 2017 | 99 | |
| 10 | 2016 | 96 | |
| 11 | 2006 | 92 | |
| 12 | 2018 | 82 | |
| 13 | 2015 | 82 | |
| 14 | 2014 | 74 | |
| 15 | 2014 | 74 | |
| 16 | 2013 | 60 | |
| 17 | 2022 | 54 | |
| 18 | 2018 | 53 | |
| 19 | 2007 | 50 | |
| 20 | 2020 | 49 |
About Mingjun Wang
Mingjun Wang is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Cancer Research, having authored 149 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (22 papers), vaccines and immunoinformatics approaches (14 papers), CAR-T cell therapy research (12 papers), Cancer Immunotherapy and Biomarkers (11 papers), Immune Cell Function and Interaction (11 papers), Machine Learning in Bioinformatics (10 papers), T-cell and B-cell Immunology (9 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Immunology (936 citations), Oncology (653 citations), Cancer Research (335 citations), Molecular Biology (1.4k citations) and Molecular Medicine (69 citations). Mingjun Wang has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Rong‐Fu Wang, Helen Y. Wang, Jiangning Song, Mogens H. Claësson, Geoffrey I. Webb, Bingnan Yin, Hao Tan, James C. Whisstock, Bing Peng and Zhaoda Zhang. Their work appears in journals such as PLoS ONE, Surgical Endoscopy, Scientific Reports, Immunity and Medicine.
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.