Ming Zhou
Impact in
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 0.5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- Cancer-related molecular mechanisms research 53
- MicroRNA in disease regulation 18
- Cancer, Hypoxia, and Metabolism 16
-
- RNA modifications and cancer 48
- Chromatin Remodeling and Cancer 22
- Cancer-related gene regulation 16
- Circular RNAs in diseases 16
- RNA Research and Splicing 15
- Journals
- Journal of Cancer (7 papers)Frontiers in Oncology (7 papers)Molecular Cancer (6 papers)Oncotarget (6 papers)Cell Death and Disease (6 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Ming Zhou
204 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Cancer Research 4.6k
- Molecular Biology 6.8k
- Oncology 1.9k
- Developmental Neuroscience 237
- Immunology 1.1k
Countries citing papers authored by Ming Zhou
This map shows the geographic impact of Ming 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 Ming Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Zhou more than expected).
Fields of papers citing papers by Ming Zhou
This network shows the impact of papers produced by Ming 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 Ming Zhou. The network helps show where Ming Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2020 | 21 | |
| 13 | 2018 | 143 | |
| 14 | 2017 | 232 | |
| 15 | 2016 | 1 | |
| 16 | 2014 | 39 | |
| 17 | 2013 | 10 | |
| 18 | 2011 | 128 | |
| 19 | 2010 | 347 | |
| 20 | 2003 | 74 |
About Ming Zhou
Ming Zhou is a scholar working on Cancer Research, Molecular Biology, Oncology, Biological Psychiatry and Cell Biology, having authored 210 papers that have together received 10.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (53 papers), RNA modifications and cancer (48 papers), Chromatin Remodeling and Cancer (22 papers), MicroRNA in disease regulation (18 papers), Cancer-related gene regulation (16 papers), Cancer, Hypoxia, and Metabolism (16 papers), Circular RNAs in diseases (16 papers) and RNA Research and Splicing (15 papers). The work is most often cited by research in Cancer Research (4.6k citations), Molecular Biology (6.8k citations), Oncology (1.9k citations), Developmental Neuroscience (237 citations) and Immunology (1.1k citations). Ming Zhou has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Guiyuan Li, Wei Xiong, Zhaoyang Zeng, Bo Xiang, Xiayu Li, Xiaoling Li, Qianjin Liao, Can Guo, Yong Li and Zhaojian Gong. Their work appears in journals such as Journal of Cancer, Frontiers in Oncology, Molecular Cancer, Oncotarget and Cell Death and Disease.
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.