Peng Chen
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Molecular Biology Techniques and Applications
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Molecular Biology Techniques and Applications 14
- Circular RNAs in diseases 8
- RNA modifications and cancer 8
-
- Cancer-related molecular mechanisms research 17
- MicroRNA in disease regulation 14
- Co-authors
- Yan Pu (27 shared papers)Hongwu Du (1 shared paper)Lei Wang (1 shared paper)Danbo Wang (5 shared papers)Feng Chen (19 shared papers)Bin Zhou (16 shared papers)Linbo Gao (9 shared papers)Yaping Song (14 shared papers)
- Journals
- BMC Cancer (6 papers)Forensic Science International (5 papers)Oncotarget (5 papers)Forensic Science International Genetics (4 papers)Medicine (4 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Peng Chen
235 papers receiving 3.6k citations
Peng Chen's Hit Papers
Peers
Comparison fields: 5 of 156
- Cancer Research 677
- Molecular Biology 1.5k
- Oncology 444
- Immunology 305
- Genetics 318
Countries citing papers authored by Peng Chen
This map shows the geographic impact of Peng 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 Peng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Chen more than expected).
Fields of papers citing papers by Peng Chen
This network shows the impact of papers produced by Peng 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 Peng Chen. The network helps show where Peng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng 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 257 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 177 | |
| 2 | 2021 | 118 | |
| 3 | 2011 | 86 | |
| 4 | 2008 | 75 | |
| 5 | 2021 | 73 | |
| 6 | 2020 | 71 | |
| 7 | 2019 | 70 | |
| 8 | 2021 | 62 | |
| 9 | 2021 | 53 | |
| 10 | 2017 | 52 | |
| 11 | 2019 | 50 | |
| 12 | 2018 | 50 | |
| 13 | 2016 | 50 | |
| 14 | 2023 | 46 | |
| 15 | Association of triglyceride glucose index with stroke: from two large cohort studies and Mendelian randomization analysis Hit paper breakdown → | 2024 | 46 |
| 16 | 2015 | 45 | |
| 17 | 2014 | 41 | |
| 18 | 2015 | 39 | |
| 19 | 2021 | 38 | |
| 20 | 2015 | 38 |
About Peng Chen
Peng Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Cardiology and Cardiovascular Medicine, having authored 257 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), Forensic and Genetic Research (14 papers), MicroRNA in disease regulation (14 papers), Molecular Biology Techniques and Applications (14 papers), Viral Infections and Immunology Research (9 papers), Genital Health and Disease (9 papers), Circular RNAs in diseases (8 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Cancer Research (677 citations), Molecular Biology (1.5k citations), Oncology (444 citations), Immunology (305 citations) and Genetics (318 citations). Peng Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Yan Pu, Hongwu Du, Lei Wang, Danbo Wang, Feng Chen, Bin Zhou, Linbo Gao, Yaping Song, Weibo Liang and Jie Wang. Their work appears in journals such as BMC Cancer, Forensic Science International, Oncotarget, Forensic Science International Genetics and 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.