Junyu Yan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Muscle Physiology and Disorders
- RNA regulation and disease
Papers in
-
- Circular RNAs in diseases 4
- RNA Research and Splicing 3
- RNA modifications and cancer 3
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Co-authors
- Zhonglin Tang (8 shared papers)Xinhao Fan (7 shared papers)Yalan Yang (6 shared papers)Yijie Tang (5 shared papers)Siyuan Liu (2 shared papers)Min Zhu (1 shared paper)Kui Li (4 shared papers)Guoming Liang (2 shared papers)
- Journals
- Journal of Advanced Research (2 papers)Frontiers in Cardiovascular Medicine (2 papers)Gene (1 paper)Neoplasia (1 paper)PLoS Genetics (1 paper)
- Partner nations
- ChinaAustraliaSwitzerland
In The Last Decade
Junyu Yan
19 papers receiving 395 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 166
- Molecular Biology 314
- Aging 3
- Genetics 42
- Cardiology and Cardiovascular Medicine 28
Countries citing papers authored by Junyu Yan
This map shows the geographic impact of Junyu Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Yan more than expected).
Fields of papers citing papers by Junyu Yan
This network shows the impact of papers produced by Junyu Yan. 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 Yan. The network helps show where Junyu Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 102 | |
| 2 | 2021 | 50 | |
| 3 | 2018 | 46 | |
| 4 | 2021 | 34 | |
| 5 | 2018 | 25 | |
| 6 | 2019 | 24 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2020 | 17 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 10 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2025 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 1 |
About Junyu Yan
Junyu Yan is a scholar working on Molecular Biology, Cancer Research, Surgery, Infectious Diseases and Automotive Engineering, having authored 19 papers that have together received 396 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Circular RNAs in diseases (4 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Cancer Research (166 citations), Molecular Biology (314 citations), Aging (3 citations), Genetics (42 citations) and Cardiology and Cardiovascular Medicine (28 citations). Junyu Yan has collaborated with scholars based in China, Australia and Switzerland. Frequent co-authors include Zhonglin Tang, Xinhao Fan, Yalan Yang, Yijie Tang, Siyuan Liu, Min Zhu, Kui Li, Guoming Liang, Zishuai Wang and Zhiyuan Xiao. Their work appears in journals such as Journal of Advanced Research, Frontiers in Cardiovascular Medicine, Gene, Neoplasia and PLoS Genetics.
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.