Bai Cui
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Behavioral Neuroscience top 10%
Papers in
-
- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 1
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Fei Peng (9 shared papers)Quentin Liu (11 shared papers)Eric W.‐F. Lam (4 shared papers)Fei-Meng Zheng (3 shared papers)Jie Xu (2 shared papers)Keith W. Kelley (5 shared papers)Mei Li (1 shared paper)Bo Wang (1 shared paper)
- Journals
- Oncotarget (2 papers)Cell Death and Disease (2 papers)Trends in Endocrinology and Metabolism (1 paper)Chinese Science Bulletin (Chinese Version) (1 paper)Brain Behavior and Immunity (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bai Cui
13 papers receiving 817 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 408
- Behavioral Neuroscience 31
- Molecular Biology 476
- Biological Psychiatry 13
- Oncology 139
Countries citing papers authored by Bai Cui
This map shows the geographic impact of Bai Cui'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 Bai Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bai Cui more than expected).
Fields of papers citing papers by Bai Cui
This network shows the impact of papers produced by Bai Cui. 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 Bai Cui. The network helps show where Bai Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Bai Cui, 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 | 236 | |
| 2 | 2017 | 204 | |
| 3 | 2020 | 87 | |
| 4 | 2015 | 80 | |
| 5 | 2015 | 71 | |
| 6 | 2014 | 45 | |
| 7 | 2018 | 40 | |
| 8 | 2023 | 19 | |
| 9 | 2019 | 15 | |
| 10 | 2024 | 11 | |
| 11 | 2024 | 8 | |
| 12 | 2022 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 0 |
About Bai Cui
Bai Cui is a scholar working on Molecular Biology, Cancer Research, Endocrine and Autonomic Systems, Physiology and Psychiatry and Mental health, having authored 14 papers that have together received 822 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Circadian rhythm and melatonin (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), MicroRNA in disease regulation (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Stress Responses and Cortisol (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cancer Research (408 citations), Behavioral Neuroscience (31 citations), Molecular Biology (476 citations), Biological Psychiatry (13 citations) and Oncology (139 citations). Bai Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fei Peng, Quentin Liu, Eric W.‐F. Lam, Fei-Meng Zheng, Jie Xu, Keith W. Kelley, Mei Li, Bo Wang, Tingting Li and Wenjun Fan. Their work appears in journals such as Oncotarget, Cell Death and Disease, Trends in Endocrinology and Metabolism, Chinese Science Bulletin (Chinese Version) and Brain Behavior and Immunity.
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.