Min Wu

2.6k citations
97 papers · 1.8k indexed · h-index 23

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune cells in cancer

Papers in

    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 7
    • T-cell and B-cell Immunology 5

Min Wu

93 papers receiving 1.8k citations

Peers

Min Wu
Comparison fields: 5 of 114
  • Cancer Research 523
  • Immunology 386
  • Rehabilitation 110
  • Dermatology 139
  • Molecular Biology 947
Replace Delphine Javelaud with:
Delphine Javelaud France
Jens Gille Germany
Makoto Hamasaki Japan
Nadine Martinet France
Ya Gao China
Ramona Graves‐Deal United States
Peter Kurschat Germany
Baihua Shen China
Quan Zeng China
Min Wu relative to Delphine Javelaud France Delphine Javelaud's profile →
Citations per field
00.5×4.1×
Delphine Javelaud · 1×
Citations per year

Countries citing papers authored by Min Wu

Since Specialization
Citations

This map shows the geographic impact of Min Wu'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 Min Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Wu more than expected).

Fields of papers citing papers by Min Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Wu. 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 Min Wu. The network helps show where Min Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Min Wu, 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 Min Wu Line = papers co-authored together Min Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 2019108
3 2021100
4 201593
5 202091
6 201778
7 202064
8 201559
9 201245
10 201045
11 201343
12 202142
13 202141
14 201539
15 201938
16 201834
17 201931
18 202128
19 201328
20 201727

About Min Wu

Min Wu is a scholar working on Cancer Research, Immunology, Rehabilitation, Occupational Therapy and Genetics, having authored 97 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (8 papers), Extracellular vesicles in disease (8 papers), Wound Healing and Treatments (7 papers), MicroRNA in disease regulation (7 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Cancer Research (523 citations), Immunology (386 citations), Rehabilitation (110 citations), Dermatology (139 citations) and Molecular Biology (947 citations). Min Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yiping Wu, Wenchang Lv, Mingchen Xiong, Qi Zhang, Weijie Hu, Chongru Zhao, Yi Yi, Yi Yi, Qi Zhang and Yufang Tan. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Frontiers in Immunology, Oncotarget, International Journal of Nanomedicine and PLoS ONE.

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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