Peng Chen
Impact in
- Biological Psychiatry top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 7
- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 5
- Genetics 28
- Genetic Associations and Epidemiology 10
- Co-authors
- Phillipp Hartmann (3 shared papers)Bernd Schnabl (3 shared papers)Lirui Wang (3 shared papers)Cristina Llorente (2 shared papers)Ling Ouyang (5 shared papers)Bo Li (1 shared paper)Samuel B. Ho (2 shared papers)Peter Stärkel (2 shared papers)
- Journals
- Frontiers in Endocrinology (4 papers)Medicine (4 papers)Frontiers in Oncology (4 papers)Scientific Reports (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Peng Chen
162 papers receiving 3.5k citations
Peng Chen's Hit Papers
Peers
Comparison fields: 5 of 156
- Biological Psychiatry 75
- Cancer Research 283
- Molecular Biology 1.4k
- Epidemiology 552
- Genetics 461
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 183 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 305 | |
| 2 | 2015 | 210 | |
| 3 | 2013 | 207 | |
| 4 | Role of estrogen receptors in health and disease Hit paper breakdown → | 2022 | 169 |
| 5 | 2020 | 141 | |
| 6 | 2006 | 140 | |
| 7 | 2011 | 107 | |
| 8 | 2004 | 101 | |
| 9 | 2016 | 86 | |
| 10 | 2018 | 68 | |
| 11 | 2017 | 65 | |
| 12 | 2013 | 65 | |
| 13 | 2010 | 61 | |
| 14 | 2012 | 51 | |
| 15 | 2019 | 49 | |
| 16 | 2020 | 48 | |
| 17 | 2019 | 46 | |
| 18 | 2013 | 42 | |
| 19 | 2022 | 42 | |
| 20 | 2007 | 40 |
About Peng Chen
Peng Chen is a scholar working on Molecular Biology, Genetics, Epidemiology, Cancer Research and Surgery, having authored 183 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), Genetic Associations and Epidemiology (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Endometriosis Research and Treatment (7 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (7 papers), Advanced biosensing and bioanalysis techniques (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Biological Psychiatry (75 citations), Cancer Research (283 citations), Molecular Biology (1.4k citations), Epidemiology (552 citations) and Genetics (461 citations). Peng Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Phillipp Hartmann, Bernd Schnabl, Lirui Wang, Cristina Llorente, Ling Ouyang, Bo Li, Samuel B. Ho, Peter Stärkel, An‐Ming Yang and Glenn R. Björk. Their work appears in journals such as Frontiers in Endocrinology, Medicine, Frontiers in Oncology, Scientific Reports and International Journal of Molecular Sciences.
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.