Mingjun Yu
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 3
- Co-authors
- Shijia Yu (8 shared papers)Juan Feng (4 shared papers)Zhongqi Bu (3 shared papers)Xin He (1 shared paper)Pingping He (2 shared papers)Wen Zhou (2 shared papers)Yunhui Liu (2 shared papers)Duo Chen (2 shared papers)
- Journals
- Anti-Cancer Agents in Medicinal Chemistry (3 papers)Journal of Cellular and Molecular Medicine (2 papers)Bioorganic Chemistry (1 paper)Medicinal Chemistry Research (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Mingjun Yu
22 papers receiving 287 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 123
- Aging 4
- Molecular Biology 139
- Neurology 14
- Epidemiology 51
Countries citing papers authored by Mingjun Yu
This map shows the geographic impact of Mingjun Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Yu more than expected).
Fields of papers citing papers by Mingjun Yu
This network shows the impact of papers produced by Mingjun Yu. 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 Yu. The network helps show where Mingjun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjun Yu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 110 | |
| 2 | 2020 | 37 | |
| 3 | 2021 | 18 | |
| 4 | 2020 | 16 | |
| 5 | 2020 | 15 | |
| 6 | 2019 | 15 | |
| 7 | 2018 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2019 | 6 | |
| 12 | [Mycoplasma genitalium lipid-associated membrane proteins induce human monocytic cell express proinflammatory cytokines and apoptosis by activating nuclear factor kappaB]. | 2007 | 6 |
| 13 | 2019 | 5 | |
| 14 | 2025 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2014 | 1 |
About Mingjun Yu
Mingjun Yu is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 24 papers that have together received 289 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Chemotherapy-induced organ toxicity mitigation (2 papers), Autophagy in Disease and Therapy (2 papers), Glioma Diagnosis and Treatment (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cancer Research (123 citations), Aging (4 citations), Molecular Biology (139 citations), Neurology (14 citations) and Epidemiology (51 citations). Mingjun Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shijia Yu, Juan Feng, Zhongqi Bu, Xin He, Pingping He, Wen Zhou, Yunhui Liu, Duo Chen, Risheng Yao and Hao Li. Their work appears in journals such as Anti-Cancer Agents in Medicinal Chemistry, Journal of Cellular and Molecular Medicine, Bioorganic Chemistry, Medicinal Chemistry Research and International Immunopharmacology.
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.