Junyu Chen
Impact in
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- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Plant Stress Responses and Tolerance
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- Epigenetics and DNA Methylation
- Plant Reproductive Biology
- Plant tissue culture and regeneration
Papers in
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- Epigenetics and DNA Methylation 12
- Natural product bioactivities and synthesis 2
- Genetics 7
- Genetic Associations and Epidemiology 3
- Co-authors
- Yan Li (1 shared paper)Yujie Chen (1 shared paper)Hui Zhou (1 shared paper)Liang‐Hu Qu (1 shared paper)Yuchun Luo (1 shared paper)Jingjing Yang (4 shared papers)Anne C. Spaulding (2 shared papers)Philip L. De Jager (2 shared papers)
- Journals
- Clinical Epigenetics (1 paper)Scientific Reports (1 paper)JAMA Network Open (1 paper)Clinical Infectious Diseases (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Junyu Chen
31 papers receiving 524 citations
Peers
Comparison fields: 5 of 102
- Plant Science 157
- Molecular Biology 279
- Cancer Research 41
- Physiology 69
- Neurology 19
Countries citing papers authored by Junyu Chen
This map shows the geographic impact of Junyu 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 Junyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Chen more than expected).
Fields of papers citing papers by Junyu Chen
This network shows the impact of papers produced by Junyu 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 Junyu Chen. The network helps show where Junyu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 140 | |
| 2 | 2020 | 55 | |
| 3 | 2018 | 53 | |
| 4 | 2020 | 43 | |
| 5 | 2021 | 38 | |
| 6 | 2020 | 25 | |
| 7 | 2019 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2017 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 2017 | 5 |
About Junyu Chen
Junyu Chen is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Emergency Medicine and Cancer Research, having authored 36 papers that have together received 532 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), HIV/AIDS Research and Interventions (5 papers), HIV-related health complications and treatments (5 papers), Cancer Research and Treatments (3 papers), Genetic Associations and Epidemiology (3 papers), Nanoplatforms for cancer theranostics (2 papers), Natural product bioactivities and synthesis (2 papers) and Adolescent and Pediatric Healthcare (2 papers). The work is most often cited by research in Plant Science (157 citations), Molecular Biology (279 citations), Cancer Research (41 citations), Physiology (69 citations) and Neurology (19 citations). Junyu Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yan Li, Yujie Chen, Hui Zhou, Liang‐Hu Qu, Yuchun Luo, Jingjing Yang, Anne C. Spaulding, Philip L. De Jager, Aron S. Buchman and David A. Bennett. Their work appears in journals such as Clinical Epigenetics, Scientific Reports, JAMA Network Open, Clinical Infectious Diseases and Cell 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.