Mingjun Wang

4.5k citations
159 papers · 3.5k · h-index 33

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • interferon and immune responses
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immunotherapy and Immune Responses 15
    • Immune Cell Function and Interaction 10
    • interferon and immune responses 7
    • CAR-T cell therapy research 11
    • Cancer Immunotherapy and Biomarkers 7

Mingjun Wang

147 papers receiving 3.5k citations

Peers

Mingjun Wang
Comparison fields: 5 of 153
  • Immunology 891
  • Oncology 613
  • Cancer Research 303
  • Molecular Biology 1.4k
  • Molecular Medicine 71
Replace Qing Zhang with:
Qing Zhang China
Shannan Ho Sui United States
Hao Hui Chen China
Lina Wang China
Yun Cui China
Ling Gao China
Elke Krüger Germany
Bin Chen China
Qi Liu China
Mingjun Wang relative to Qing Zhang China Qing Zhang's profile →
Citations per field
00.5×1.5×
Qing Zhang · 1×
Citations per year

Countries citing papers authored by Mingjun Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mingjun Wang Line = papers co-authored together Mingjun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015165
2 2012145
3 2014132
4 2021131
5 2015131
6 2016127
7 2014122
8 2015110
9 2017107
10 2016103
11 200693
12 201888
13 201583
14 201477
15 201475
16 201362
17 201858
18 202257
19 202055
20 200751

About Mingjun Wang

Mingjun Wang is a scholar working on Immunology, Oncology, Cancer Research, Molecular Biology and Rheumatology, having authored 159 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), CAR-T cell therapy research (11 papers), Immune Cell Function and Interaction (10 papers), Machine Learning in Bioinformatics (9 papers), vaccines and immunoinformatics approaches (8 papers), Cancer-related molecular mechanisms research (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and interferon and immune responses (7 papers). The work is most often cited by research in Immunology (891 citations), Oncology (613 citations), Cancer Research (303 citations), Molecular Biology (1.4k citations) and Molecular Medicine (71 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 (John) Song, Mogens H. Claësson, Bingnan Yin, Geoffrey I. Webb, Bing Peng, James C. Whisstock, Hao Tan and Zhaoda Zhang. Their work appears in journals such as PLoS ONE, Surgical Endoscopy, Medicine, Scientific Reports and Immunity.

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.

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