Cong Tan
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
Papers in
-
- RNA modifications and cancer 5
- Oncology 21
- Colorectal Cancer Treatments and Studies 7
- Co-authors
- Xiang Du (24 shared papers)Weiqi Sheng (44 shared papers)Dan Huang (39 shared papers)Shujuan Ni (41 shared papers)Midie Xu (34 shared papers)Weiwei Weng (27 shared papers)Peng Qi (10 shared papers)Ping Wei (10 shared papers)
- Journals
- International Journal of Cancer (3 papers)Cancer Cell International (3 papers)Clinical Cancer Research (3 papers)Cancer Medicine (3 papers)Journal of Translational Medicine (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Cong Tan
94 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 1.5k
- Molecular Biology 1.7k
- Oncology 505
- Pathology and Forensic Medicine 208
- Pulmonary and Respiratory Medicine 307
Countries citing papers authored by Cong Tan
This map shows the geographic impact of Cong 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 Cong Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Tan more than expected).
Fields of papers citing papers by Cong Tan
This network shows the impact of papers produced by Cong 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 Cong Tan. The network helps show where Cong Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 290 | |
| 2 | 2011 | 223 | |
| 3 | 2016 | 208 | |
| 4 | 2012 | 203 | |
| 5 | 2016 | 183 | |
| 6 | 2015 | 151 | |
| 7 | 2013 | 125 | |
| 8 | 2017 | 122 | |
| 9 | 2018 | 105 | |
| 10 | 2015 | 79 | |
| 11 | 2019 | 69 | |
| 12 | 2014 | 64 | |
| 13 | 2013 | 63 | |
| 14 | 2014 | 57 | |
| 15 | 2018 | 50 | |
| 16 | 2013 | 47 | |
| 17 | 2018 | 47 | |
| 18 | 2016 | 47 | |
| 19 | 2024 | 45 | |
| 20 | 2022 | 44 |
About Cong Tan
Cong Tan is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 98 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Genetic factors in colorectal cancer (9 papers), Colorectal Cancer Treatments and Studies (7 papers), Gastric Cancer Management and Outcomes (7 papers), MicroRNA in disease regulation (6 papers), Ferroptosis and cancer prognosis (5 papers), RNA modifications and cancer (5 papers) and Glioma Diagnosis and Treatment (5 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (1.7k citations), Oncology (505 citations), Pathology and Forensic Medicine (208 citations) and Pulmonary and Respiratory Medicine (307 citations). Cong Tan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiang Du, Weiqi Sheng, Dan Huang, Shujuan Ni, Midie Xu, Weiwei Weng, Peng Qi, Ping Wei, Mi‐die Xu and Qiongyan Zhang. Their work appears in journals such as International Journal of Cancer, Cancer Cell International, Clinical Cancer Research, Cancer Medicine and Journal of Translational Medicine.
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.