Cui Tan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 10%
Papers in
-
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
- Histone Deacetylase Inhibitors Research 2
-
- Breast Lesions and Carcinomas 5
- Co-authors
- Guosheng Ren (6 shared papers)Tingxiu Xiang (5 shared papers)Xufu Wei (2 shared papers)Rui Liu (2 shared papers)Zhongjun Wu (2 shared papers)Xiao Xu (1 shared paper)Qian Tao (2 shared papers)Lili Li (2 shared papers)
- Journals
- BMC Cancer (2 papers)Journal of Surgical Research (2 papers)Cellular Signalling (2 papers)The Oncologist (1 paper)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Cui Tan
23 papers receiving 657 citations
Peers
Comparison fields: 5 of 65
- Cancer Research 272
- Hepatology 46
- Molecular Biology 327
- Pathology and Forensic Medicine 76
- Epidemiology 120
Countries citing papers authored by Cui Tan
This map shows the geographic impact of Cui Tan'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 Cui Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cui Tan more than expected).
Fields of papers citing papers by Cui Tan
This network shows the impact of papers produced by Cui Tan. 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 Cui Tan. The network helps show where Cui Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cui Tan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 135 | |
| 2 | 2012 | 126 | |
| 3 | 2013 | 95 | |
| 4 | 2014 | 65 | |
| 5 | 2016 | 30 | |
| 6 | 2015 | 26 | |
| 7 | 2014 | 25 | |
| 8 | 2019 | 24 | |
| 9 | 2017 | 21 | |
| 10 | 2022 | 18 | |
| 11 | 2020 | 16 | |
| 12 | 2022 | 11 | |
| 13 | 2013 | 10 | |
| 14 | 2013 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2018 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2019 | 6 | |
| 20 | Identification of DHX36 as a tumour suppressor through modulating the activities of the stress-associated proteins and cyclin-dependent kinases in breast cancer. | 2020 | 6 |
About Cui Tan
Cui Tan is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Oncology and Surgery, having authored 25 papers that have together received 660 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (5 papers), Epigenetics and DNA Methylation (4 papers), MRI in cancer diagnosis (3 papers), Breast Cancer Treatment Studies (3 papers), RNA modifications and cancer (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (272 citations), Hepatology (46 citations), Molecular Biology (327 citations), Pathology and Forensic Medicine (76 citations) and Epidemiology (120 citations). Cui Tan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Guosheng Ren, Tingxiu Xiang, Xufu Wei, Rui Liu, Zhongjun Wu, Xiao Xu, Qian Tao, Lili Li, Xuedong Yin and Chengyong Tang. Their work appears in journals such as BMC Cancer, Journal of Surgical Research, Cellular Signalling, The Oncologist and Journal of Magnetic Resonance Imaging.
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.