Meng Pu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
Papers in
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- Circular RNAs in diseases 2
-
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Cancer Genomics and Diagnostics 1
- Co-authors
- Kaishan Tao (7 shared papers)Ge Zhao (4 shared papers)Zhuochao Zhang (4 shared papers)Qike Huang (5 shared papers)Xisheng Yang (4 shared papers)Ben Ma (3 shared papers)Jianlin Wang (2 shared papers)Runze Shang (4 shared papers)
- Journals
- Cellular Physiology and Biochemistry (2 papers)Cancer Letters (2 papers)Oncology Reports (2 papers)Experimental Biology and Medicine (1 paper)CNS Neuroscience & Therapeutics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Meng Pu
18 papers receiving 599 citations
Peers
Comparison fields: 5 of 52
- Cancer Research 308
- Molecular Biology 427
- Hepatology 33
- Oncology 53
- Neurology 26
Countries citing papers authored by Meng Pu
This map shows the geographic impact of Meng Pu'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 Meng Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Pu more than expected).
Fields of papers citing papers by Meng Pu
This network shows the impact of papers produced by Meng Pu. 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 Meng Pu. The network helps show where Meng Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Meng Pu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 247 | |
| 2 | 2016 | 124 | |
| 3 | 2017 | 39 | |
| 4 | 2017 | 35 | |
| 5 | 2015 | 31 | |
| 6 | 2021 | 27 | |
| 7 | 2017 | 26 | |
| 8 | 2018 | 21 | |
| 9 | 2017 | 19 | |
| 10 | 2016 | 17 | |
| 11 | 2024 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Meng Pu
Meng Pu is a scholar working on Molecular Biology, Cancer Research, Surgery, Cellular and Molecular Neuroscience and Neurology, having authored 19 papers that have together received 605 indexed citations. Recurring topics across this work include Circular RNAs in diseases (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Pancreatic function and diabetes (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Ferroptosis and cancer prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper) and Polymer Surface Interaction Studies (1 paper). The work is most often cited by research in Cancer Research (308 citations), Molecular Biology (427 citations), Hepatology (33 citations), Oncology (53 citations) and Neurology (26 citations). Meng Pu has collaborated with scholars based in China and United States. Frequent co-authors include Kaishan Tao, Ge Zhao, Zhuochao Zhang, Qike Huang, Xisheng Yang, Ben Ma, Jianlin Wang, Runze Shang, Kefeng Dou and Junjie Li. Their work appears in journals such as Cellular Physiology and Biochemistry, Cancer Letters, Oncology Reports, Experimental Biology and Medicine and CNS Neuroscience & Therapeutics.
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.