Junyu Yang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Electrospun Nanofibers in Biomedical Applications
Papers in
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- RNA Interference and Gene Delivery 5
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
- RNA Research and Splicing 2
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- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 2
- Co-authors
- Jianzhong Xi (12 shared papers)Hanshuo Zhang (7 shared papers)Shenyi Yin (6 shared papers)Changhong Sun (6 shared papers)Juan Li (2 shared papers)Ming Ma (3 shared papers)Ying Zhou (1 shared paper)Yanyi Huang (1 shared paper)
- Journals
- Nature Communications (2 papers)SLAS TECHNOLOGY (2 papers)RNA (2 papers)Nanomedicine Nanotechnology Biology and Medicine (1 paper)Transfusion (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Junyu Yang
21 papers receiving 701 citations
Peers
Comparison fields: 5 of 105
- Cancer Research 259
- Biomaterials 78
- Molecular Biology 328
- Developmental Neuroscience 11
- Cellular and Molecular Neuroscience 48
Countries citing papers authored by Junyu Yang
This map shows the geographic impact of Junyu Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Yang more than expected).
Fields of papers citing papers by Junyu Yang
This network shows the impact of papers produced by Junyu Yang. 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 Yang. The network helps show where Junyu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu Yang, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 181 | |
| 2 | 2016 | 129 | |
| 3 | 2014 | 64 | |
| 4 | 2017 | 64 | |
| 5 | 2017 | 61 | |
| 6 | 2016 | 54 | |
| 7 | 2014 | 34 | |
| 8 | 2010 | 21 | |
| 9 | 2020 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2014 | 14 | |
| 12 | 2017 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2010 | 8 | |
| 15 | 2013 | 6 | |
| 16 | 2012 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2013 | 5 | |
| 19 | 2012 | 1 | |
| 20 | 2016 | 1 |
About Junyu Yang
Junyu Yang is a scholar working on Molecular Biology, Cancer Research, Biomaterials, Biomedical Engineering and Surgery, having authored 21 papers that have together received 711 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), RNA Interference and Gene Delivery (5 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Plant Water Relations and Carbon Dynamics (1 paper) and Membrane Separation Technologies (1 paper). The work is most often cited by research in Cancer Research (259 citations), Biomaterials (78 citations), Molecular Biology (328 citations), Developmental Neuroscience (11 citations) and Cellular and Molecular Neuroscience (48 citations). Junyu Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jianzhong Xi, Hanshuo Zhang, Shenyi Yin, Changhong Sun, Juan Li, Ming Ma, Ying Zhou, Yanyi Huang, Edward Kai‐Hua Chow and Eiji O̅sawa. Their work appears in journals such as Nature Communications, SLAS TECHNOLOGY, RNA, Nanomedicine Nanotechnology Biology and Medicine and Transfusion.
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.