Shumin Zhou
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Glycosylation and Glycoproteins Research
- Extracellular vesicles in disease
- RNA and protein synthesis mechanisms
Papers in
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- Glycosylation and Glycoproteins Research 6
- RNA and protein synthesis mechanisms 4
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- Video Coding and Compression Technologies 3
- Co-authors
- Ting Yuan (7 shared papers)Qingcheng Yang (7 shared papers)Dongdong Cheng (5 shared papers)Bin Zhu (4 shared papers)Xianghua Huang (1 shared paper)Yingle Liu (5 shared papers)Yipeng Qi (5 shared papers)Sheng‐ce Tao (5 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Scientific Reports (2 papers)Acta Biochimica et Biophysica Sinica (2 papers)Molecular Therapy (2 papers)Applied Sciences (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shumin Zhou
50 papers receiving 846 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 86
- Molecular Biology 230
- Physiology 13
- Genetics 21
- Reproductive Medicine 22
Countries citing papers authored by Shumin Zhou
This map shows the geographic impact of Shumin Zhou'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 Shumin Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumin Zhou more than expected).
Fields of papers citing papers by Shumin Zhou
This network shows the impact of papers produced by Shumin Zhou. 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 Shumin Zhou. The network helps show where Shumin Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Shumin Zhou, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 71 | |
| 2 | 2017 | 61 | |
| 3 | 2020 | 50 | |
| 4 | 2006 | 41 | |
| 5 | 2011 | 40 | |
| 6 | 2022 | 39 | |
| 7 | 2015 | 37 | |
| 8 | 2012 | 34 | |
| 9 | 2017 | 33 | |
| 10 | 2003 | 29 | |
| 11 | 2016 | 26 | |
| 12 | 2016 | 26 | |
| 13 | 2015 | 23 | |
| 14 | 2016 | 23 | |
| 15 | 2018 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2018 | 19 | |
| 18 | 2018 | 19 | |
| 19 | 2021 | 19 | |
| 20 | 2022 | 19 |
About Shumin Zhou
Shumin Zhou is a scholar working on Molecular Biology, Signal Processing, Physiology, Pulmonary and Respiratory Medicine and Oncology, having authored 54 papers that have together received 866 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), RNA and protein synthesis mechanisms (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Video Coding and Compression Technologies (3 papers), Plant-Microbe Interactions and Immunity (2 papers), CAR-T cell therapy research (2 papers), Adenosine and Purinergic Signaling (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Cancer Research (86 citations), Molecular Biology (230 citations), Physiology (13 citations), Genetics (21 citations) and Reproductive Medicine (22 citations). Shumin Zhou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ting Yuan, Qingcheng Yang, Dongdong Cheng, Bin Zhu, Xianghua Huang, Yingle Liu, Yipeng Qi, Sheng‐ce Tao, Jielai Yang and Tao Ying. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Acta Biochimica et Biophysica Sinica, Molecular Therapy and Applied Sciences.
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.