Mingming Wu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
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- Immune Cell Function and Interaction 4
- Co-authors
- Tao Zhu (14 shared papers)Peter Edward Lobie (13 shared papers)Weijie Zhang (7 shared papers)Xiao Zhang (7 shared papers)Pengxu Qian (5 shared papers)Sheng Hui Tan (4 shared papers)Vijay Pandey (6 shared papers)Xinghua Han (6 shared papers)
- Journals
- Cancer Letters (2 papers)Nature Communications (2 papers)Cancer Research (2 papers)Evidence-based Complementary and Alternative Medicine (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Mingming Wu
33 papers receiving 910 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 250
- Oncology 107
- Molecular Biology 278
- Immunology 71
- Pulmonary and Respiratory Medicine 112
Countries citing papers authored by Mingming Wu
This map shows the geographic impact of Mingming 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 Mingming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingming Wu more than expected).
Fields of papers citing papers by Mingming Wu
This network shows the impact of papers produced by Mingming 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 Mingming Wu. The network helps show where Mingming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 121 | |
| 2 | 2015 | 111 | |
| 3 | 2015 | 79 | |
| 4 | 2024 | 55 | |
| 5 | 2020 | 54 | |
| 6 | 2017 | 48 | |
| 7 | 2018 | 45 | |
| 8 | 2022 | 44 | |
| 9 | 2016 | 41 | |
| 10 | 2024 | 40 | |
| 11 | 2018 | 38 | |
| 12 | 2018 | 38 | |
| 13 | 2020 | 31 | |
| 14 | 2018 | 30 | |
| 15 | 2021 | 29 | |
| 16 | 2019 | 19 | |
| 17 | 2020 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2023 | 14 | |
| 20 | 2024 | 12 |
About Mingming Wu
Mingming Wu is a scholar working on Cancer Research, Immunology, Oncology, Complementary and alternative medicine and Molecular Biology, having authored 35 papers that have together received 928 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Immune Cell Function and Interaction (4 papers), MicroRNA in disease regulation (4 papers), Cancer Cells and Metastasis (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Cancer Research (250 citations), Oncology (107 citations), Molecular Biology (278 citations), Immunology (71 citations) and Pulmonary and Respiratory Medicine (112 citations). Mingming Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Tao Zhu, Peter Edward Lobie, Weijie Zhang, Xiao Zhang, Pengxu Qian, Sheng Hui Tan, Vijay Pandey, Xinghua Han, Wenchang Qian and Tao Li. Their work appears in journals such as Cancer Letters, Nature Communications, Cancer Research, Evidence-based Complementary and Alternative Medicine and Frontiers in Oncology.
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.