Mingjun Wu
Impact in
- Pharmaceutical Science top 10%
- Nephrology top 10%
Papers in ⓘ
-
- Cancer Research and Treatments 3
- Co-authors
- Jingqing Zhang (7 shared papers)Dezhang Zhao (4 shared papers)Dan He (4 shared papers)Qunyou Tan (3 shared papers)Chao Yu (5 shared papers)Xiaoxun Zhang (2 shared papers)Ao Li (2 shared papers)Zhu Yang (2 shared papers)
- Journals
- Life Sciences (2 papers)International Journal of Nanomedicine (2 papers)Clinical Epigenetics (1 paper)Applied Surface Science (1 paper)Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Mingjun Wu
35 papers receiving 737 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Pharmaceutical Science 38
- Nephrology 42
- Molecular Biology 385
- Cancer Research 84
- Pharmacology 48
Countries citing papers authored by Mingjun Wu
This map shows the geographic impact of Mingjun 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 Mingjun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Wu more than expected).
Fields of papers citing papers by Mingjun Wu
This network shows the impact of papers produced by Mingjun 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 Mingjun Wu. The network helps show where Mingjun Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjun 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 132 | |
| 2 | 2023 | 68 | |
| 3 | 2014 | 64 | |
| 4 | Multimodal smart systems reprogramme macrophages and remove urate to treat gouty arthritis Hit paper breakdown → | 2024 | 49 |
| 5 | 2017 | 49 | |
| 6 | 2013 | 43 | |
| 7 | 2020 | 42 | |
| 8 | 2013 | 41 | |
| 9 | 2016 | 25 | |
| 10 | 2021 | 23 | |
| 11 | 2014 | 20 | |
| 12 | 2018 | 18 | |
| 13 | 2010 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2023 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2013 | 14 | |
| 18 | 2016 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2018 | 9 |
About Mingjun Wu
Mingjun Wu is a scholar working on Biotechnology, Biochemistry, Molecular Biology, Behavioral Neuroscience and Reproductive Medicine, having authored 37 papers that have together received 752 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Cancer Research and Treatments (3 papers), Glycosylation and Glycoproteins Research (3 papers), Extracellular vesicles in disease (3 papers), Signaling Pathways in Disease (2 papers), Nanoplatforms for cancer theranostics (2 papers), Galectins and Cancer Biology (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Pharmaceutical Science (38 citations), Nephrology (42 citations), Molecular Biology (385 citations), Cancer Research (84 citations) and Pharmacology (48 citations). Mingjun Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jingqing Zhang, Dezhang Zhao, Dan He, Qunyou Tan, Chao Yu, Xiaoxun Zhang, Ao Li, Zhu Yang, Hong Wang and Shan Liu. Their work appears in journals such as Life Sciences, International Journal of Nanomedicine, Clinical Epigenetics, Applied Surface Science and Biological Chemistry.
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.