Yao Chen
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- RNA modifications and cancer 12
- Epidemiology 52
- Autophagy in Disease and Therapy 10
- Liver Disease Diagnosis and Treatment 10
- Co-authors
- Haopeng Sun (13 shared papers)Qi Li (4 shared papers)Hongyu Yang (2 shared papers)Weiguo Cui (8 shared papers)Feng Feng (5 shared papers)Hongyang Wang (9 shared papers)Jing Fu (7 shared papers)David Schauder (3 shared papers)
- Journals
- European Journal of Medicinal Chemistry (5 papers)Frontiers in Immunology (5 papers)Frontiers in Genetics (5 papers)Medicine (4 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yao Chen
232 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 152
- Cancer Research 724
- Immunology 1.0k
- Hematology 449
- Pharmacology 657
- Molecular Biology 2.1k
Countries citing papers authored by Yao Chen
This map shows the geographic impact of Yao 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 Yao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Chen more than expected).
Fields of papers citing papers by Yao Chen
This network shows the impact of papers produced by Yao 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 Yao Chen. The network helps show where Yao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao 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 247 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 264 | |
| 2 | 2014 | 241 | |
| 3 | 2018 | 171 | |
| 4 | 2008 | 166 | |
| 5 | 2020 | 145 | |
| 6 | 2021 | 137 | |
| 7 | 2015 | 118 | |
| 8 | 2021 | 116 | |
| 9 | 2015 | 116 | |
| 10 | 2019 | 113 | |
| 11 | 2018 | 110 | |
| 12 | 2010 | 109 | |
| 13 | 2018 | 79 | |
| 14 | 2022 | 74 | |
| 15 | 2021 | 69 | |
| 16 | 2021 | 60 | |
| 17 | 2012 | 57 | |
| 18 | 2019 | 57 | |
| 19 | 2017 | 50 | |
| 20 | 2021 | 49 |
About Yao Chen
Yao Chen is a scholar working on Molecular Biology, Epidemiology, Immunology, Cancer Research and Oncology, having authored 247 papers that have together received 5.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (12 papers), Immune Cell Function and Interaction (12 papers), Autophagy in Disease and Therapy (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Immunotherapy and Immune Responses (10 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Cancer Research (724 citations), Immunology (1.0k citations), Hematology (449 citations), Pharmacology (657 citations) and Molecular Biology (2.1k citations). Yao Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haopeng Sun, Qi Li, Hongyu Yang, Weiguo Cui, Feng Feng, Hongyang Wang, Jing Fu, David Schauder, Siyu He and Wei Qu. Their work appears in journals such as European Journal of Medicinal Chemistry, Frontiers in Immunology, Frontiers in Genetics, Medicine and Scientific Reports.
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.