Cong Chen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 5
- Angiogenesis and VEGF in Cancer 5
- Mitochondrial Function and Pathology 4
-
- Cancer, Hypoxia, and Metabolism 7
- Co-authors
- Xiu‐Wu Bian (15 shared papers)Yu Shi (13 shared papers)Wenchao Zhou (5 shared papers)Yi‐Fang Ping (12 shared papers)Shideng Bao (4 shared papers)Xiaoguang Fang (3 shared papers)Zhi Huang (3 shared papers)Jeremy N. Rich (3 shared papers)
- Journals
- Laboratory Investigation (3 papers)Clinical Cancer Research (2 papers)Cancer Letters (2 papers)Scientific Reports (1 paper)Molecules and Cells (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Cong Chen
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 324
- Genetics 142
- Molecular Biology 694
- Oncology 189
- Aging 12
Countries citing papers authored by Cong Chen
This map shows the geographic impact of Cong Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Chen more than expected).
Fields of papers citing papers by Cong Chen
This network shows the impact of papers produced by Cong Chen. 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 Chen. The network helps show where Cong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Chen, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 160 | |
| 2 | 2016 | 127 | |
| 3 | 2014 | 81 | |
| 4 | 2016 | 61 | |
| 5 | 2015 | 49 | |
| 6 | 2018 | 48 | |
| 7 | 2013 | 47 | |
| 8 | 2017 | 44 | |
| 9 | 2023 | 41 | |
| 10 | 2005 | 37 | |
| 11 | 2020 | 33 | |
| 12 | 2015 | 29 | |
| 13 | 2017 | 27 | |
| 14 | 2024 | 26 | |
| 15 | 2018 | 26 | |
| 16 | 2024 | 21 | |
| 17 | 2016 | 19 | |
| 18 | 2023 | 19 | |
| 19 | 2021 | 16 | |
| 20 | 2022 | 15 |
About Cong Chen
Cong Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Cell Biology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Cell Adhesion Molecules Research (4 papers), Mitochondrial Function and Pathology (4 papers), Glioma Diagnosis and Treatment (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (324 citations), Genetics (142 citations), Molecular Biology (694 citations), Oncology (189 citations) and Aging (12 citations). Cong Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiu‐Wu Bian, Yu Shi, Wenchao Zhou, Yi‐Fang Ping, Shideng Bao, Xiaoguang Fang, Zhi Huang, Jeremy N. Rich, You‐Hong Cui and Qiulian Wu. Their work appears in journals such as Laboratory Investigation, Clinical Cancer Research, Cancer Letters, Scientific Reports and Molecules and Cells.
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.