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
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 6
- Oncology 21
- Colorectal Cancer Treatments and Studies 7
- Co-authors
- Midie Xu (40 shared papers)Xiang Du (24 shared papers)Weiqi Sheng (42 shared papers)Dan Huang (37 shared papers)Shu-juan Ni (39 shared papers)Weiwei Weng (26 shared papers)Peng Qi (10 shared papers)Ping Wei (10 shared papers)
- Journals
- Clinical Cancer Research (3 papers)BMC Cancer (3 papers)Cancer Cell International (3 papers)Journal of Hematology & Oncology (3 papers)International Journal of Cancer (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Cong Tan
93 papers receiving 3.5k citations
Cong Tan's Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 1.5k
- Molecular Biology 1.8k
- Oncology 551
- Pathology and Forensic Medicine 216
- Pulmonary and Respiratory Medicine 339
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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 298 | |
| 2 | 2011 | 224 | |
| 3 | 2016 | 212 | |
| 4 | 2012 | 209 | |
| 5 | 2016 | 187 | |
| 6 | Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients Hit paper breakdown → | 2022 | 181 |
| 7 | 2015 | 151 | |
| 8 | 2013 | 126 | |
| 9 | 2017 | 125 | |
| 10 | 2018 | 107 | |
| 11 | 2015 | 79 | |
| 12 | 2019 | 72 | |
| 13 | 2014 | 65 | |
| 14 | 2024 | 64 | |
| 15 | 2013 | 64 | |
| 16 | 2014 | 57 | |
| 17 | 2018 | 52 | |
| 18 | 2022 | 50 | |
| 19 | 2013 | 48 | |
| 20 | 2016 | 47 |
About Cong Tan
Cong Tan is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 96 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Genetic factors in colorectal cancer (8 papers), Colorectal Cancer Treatments and Studies (7 papers), Gastric Cancer Management and Outcomes (7 papers), MicroRNA in disease regulation (6 papers), Glioma Diagnosis and Treatment (5 papers), RNA modifications and cancer (4 papers) and Colorectal and Anal Carcinomas (4 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (1.8k citations), Oncology (551 citations), Pathology and Forensic Medicine (216 citations) and Pulmonary and Respiratory Medicine (339 citations). Cong Tan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Midie Xu, Xiang Du, Weiqi Sheng, Dan Huang, Shu-juan Ni, Weiwei Weng, Peng Qi, Ping Wei, Qiongyan Zhang and Lei Dong. Their work appears in journals such as Clinical Cancer Research, BMC Cancer, Cancer Cell International, Journal of Hematology & Oncology and International Journal of Cancer.
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.