Mingjun Wang

4.3k citations
158 papers · 3.5k · h-index 33

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • interferon and immune responses
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Rheumatoid Arthritis Research and Therapies 9
    • Systemic Lupus Erythematosus Research 5
    • CAR-T cell therapy research 6

Mingjun Wang

145 papers receiving 3.5k citations

Peers

Mingjun Wang
Comparison fields: 5 of 111
  • Immunology 292
  • Oncology 309
  • Rheumatology 206
  • Drug Discovery 1
  • Molecular Biology 760
Replace Stefania Maria Filomena Mitola with:
Stefania Maria Filomena Mitola Italy
Alessandra Fierabracci Italy
Baldur Sveinbjørnsson Norway
Andrea Fattorossi Italy
Ziyi Wang China
Cristina Corina Clement United States
Xiaoting Wang China
Jongseon Choe South Korea
Ming‐Fang Wu Taiwan
Mingjun Wang relative to Stefania Maria Filomena Mitola Italy Stefania Maria Filomena Mitola's profile →
Citations per field
00.5×2×3×4×4.6×
Stefania Maria Filomena Mitola · 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 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015165
2 2012145
3 2014132
4 2015132
5 2021132
6 2016127
7 2014125
8 2015110
9 2017109
10 2016105
11 200693
12 201888
13 201582
14 201477
15 201475
16 201362
17 201858
18 202257
19 202055
20 200751

About Mingjun Wang

Mingjun Wang is a scholar working on Rheumatology, Oncology, Molecular Biology, Immunology and Cancer Research, having authored 158 papers that have together received 3.5k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (9 papers), vaccines and immunoinformatics approaches (7 papers), Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (6 papers), Liver Disease and Transplantation (5 papers), Systemic Lupus Erythematosus Research (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Immunology (292 citations), Oncology (309 citations), Rheumatology (206 citations), Drug Discovery (1 citation) and Molecular Biology (760 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, Bing Peng, Mogens H. Claësson, Geoffrey I. Webb, Bingnan Yin, James C. Whisstock, Zhaoda Zhang and Hao Tan. Their work appears in journals such as PLoS ONE, Surgical Endoscopy, Scientific Reports, Medicine 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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