Junying Chen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Extracellular vesicles in disease
Papers in
-
- Circular RNAs in diseases 8
- Oncology 20
- Cancer Immunotherapy and Biomarkers 7
- Cancer Cells and Metastasis 5
- Co-authors
- Desheng Yao (6 shared papers)Nan Ding (6 shared papers)Shan Zhao (5 shared papers)Li Li (2 shared papers)Fei Ren (1 shared paper)Tong Xiang (3 shared papers)Haixia Long (3 shared papers)Wei Zhu (1 shared paper)
- Journals
- PLoS ONE (5 papers)Oncotarget (3 papers)Oncology Reports (3 papers)Virus Research (2 papers)International Journal of Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Junying Chen
97 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 129
- Cancer Research 550
- Molecular Biology 704
- Oncology 209
- Immunology 143
- Epidemiology 157
Countries citing papers authored by Junying Chen
This map shows the geographic impact of Junying 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 Junying Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junying Chen more than expected).
Fields of papers citing papers by Junying Chen
This network shows the impact of papers produced by Junying 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 Junying Chen. The network helps show where Junying Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junying 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 113 | |
| 2 | 2015 | 85 | |
| 3 | 2013 | 80 | |
| 4 | 2015 | 74 | |
| 5 | 2013 | 71 | |
| 6 | 2013 | 59 | |
| 7 | 2014 | 57 | |
| 8 | Light microscopic, electron microscopic, and immunohistochemical comparison of Bama minipig (Sus scrofa domestica) and human skin. | 2010 | 57 |
| 9 | 2015 | 56 | |
| 10 | 2018 | 50 | |
| 11 | 2015 | 46 | |
| 12 | 2016 | 38 | |
| 13 | 2021 | 34 | |
| 14 | 2015 | 33 | |
| 15 | 2021 | 32 | |
| 16 | 2020 | 30 | |
| 17 | 2019 | 29 | |
| 18 | 2022 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 2006 | 25 |
About Junying Chen
Junying Chen is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Public Health, Environmental and Occupational Health, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (10 papers), Mosquito-borne diseases and control (9 papers), Circular RNAs in diseases (8 papers), Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Immune Cell Function and Interaction (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Cancer Research (550 citations), Molecular Biology (704 citations), Oncology (209 citations), Immunology (143 citations) and Epidemiology (157 citations). Junying Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Desheng Yao, Nan Ding, Shan Zhao, Li Li, Fei Ren, Tong Xiang, Haixia Long, Wei Zhu, Xiaoyan Song and Yaqiong Pei. Their work appears in journals such as PLoS ONE, Oncotarget, Oncology Reports, Virus Research and International Journal of Infectious Diseases.
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.