Mingjun Wang

4.3k citations
149 papers · 3.2k indexed · h-index 32

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
    • Immunotherapy and Immune Responses 22
    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 9

Mingjun Wang

142 papers receiving 3.1k citations

Peers

Mingjun Wang
Comparison fields: 5 of 152
  • Immunology 936
  • Oncology 653
  • Cancer Research 335
  • Molecular Biology 1.4k
  • Molecular Medicine 69
Replace Qing Zhang with:
Qing Zhang China
Kui Zhang China
Yun Cui China
Ping Chen China
Jennifer Martinez United States
Balamurali K. Ambati United States
Bin Chen China
Hao Chen China
Hiranmoy Das United States
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 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015155
2 2012134
3 2014123
4 2014117
5 2021116
6 2015115
7 2016111
8 2015105
9 201799
10 201696
11 200692
12 201882
13 201582
14 201474
15 201474
16 201360
17 202254
18 201853
19 200750
20 202049

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.

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