Min Wu

2.7k citations
99 papers · 1.9k · h-index 24

Impact in

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

Papers in

    • RNA modifications and cancer 8
    • Circular RNAs in diseases 7
    • Extracellular vesicles in disease 7
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 5

Min Wu

94 papers receiving 1.9k citations

Peers

Min Wu
Comparison fields: 5 of 109
  • Cancer Research 441
  • Immunology 335
  • Rehabilitation 100
  • Dermatology 118
  • Molecular Biology 822
Replace Roger Rezzonico with:
Roger Rezzonico France
Delphine Javelaud France
Gunter Rappl Germany
Suvi‐Katri Leivonen Finland
Makoto Hamasaki Japan
Ramona Graves‐Deal United States
Robin C. Muise‐Helmericks United States
Markella Ponticos United Kingdom
Peter Kurschat Germany
Min Wu relative to Roger Rezzonico France Roger Rezzonico's profile →
Citations per field
00.5×8.6×
Roger Rezzonico · 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 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 2019111
3 2021104
4 201596
5 202094
6 201779
7 202066
8 201561
9 201246
10 201046
11 202143
12 201543
13 201343
14 202141
15 201938
16 201834
17 201931
18 202130
19 202229
20 201729

About Min Wu

Min Wu is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Pulmonary and Respiratory Medicine, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Mesenchymal stem cell research (7 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (7 papers), Extracellular vesicles in disease (7 papers), Wound Healing and Treatments (5 papers), MicroRNA in disease regulation (5 papers) and Systemic Lupus Erythematosus Research (5 papers). The work is most often cited by research in Cancer Research (441 citations), Immunology (335 citations), Rehabilitation (100 citations), Dermatology (118 citations) and Molecular Biology (822 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, Weijie Hu, Qi Zhang, Chongru Zhao, Yi Yi, Yi Yi, Qi Zhang and Yufang Tan. Their work appears in journals such as PLoS ONE, Oncotarget, Frontiers in Immunology, International Journal of Nanomedicine and Frontiers in Cell and Developmental Biology.

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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