Chun Ruan
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
- Fungal and yeast genetics research
Papers in
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- Genomics and Chromatin Dynamics 7
- Epigenetics and DNA Methylation 5
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- Access Control and Trust 7
- Co-authors
- Seyed Shahrestani (14 shared papers)Jerry L. Workman (3 shared papers)Chhabi K. Govind (1 shared paper)Hongfang Qiu (1 shared paper)Swaminathan Venkatesh (1 shared paper)Bing Li (1 shared paper)Alan G. Hinnebusch (1 shared paper)Daniel S. Ginsburg (1 shared paper)
- Journals
- Journal Of Big Data (2 papers)Journal of Biological Chemistry (2 papers)Molecular Cell (1 paper)Medical Physics (1 paper)Cell Reports (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Chun Ruan
38 papers receiving 486 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 300
- Radiation 30
- Radiology, Nuclear Medicine and Imaging 48
- Artificial Intelligence 54
- Plant Science 48
Countries citing papers authored by Chun Ruan
This map shows the geographic impact of Chun Ruan'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 Chun Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Ruan more than expected).
Fields of papers citing papers by Chun Ruan
This network shows the impact of papers produced by Chun Ruan. 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 Chun Ruan. The network helps show where Chun Ruan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Ruan, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 182 | |
| 2 | 2010 | 39 | |
| 3 | 2015 | 35 | |
| 4 | 2023 | 19 | |
| 5 | 2016 | 18 | |
| 6 | 2011 | 17 | |
| 7 | 2016 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2013 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2017 | 9 | |
| 15 | 2007 | 8 | |
| 16 | 2013 | 8 | |
| 17 | 2005 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2013 | 7 | |
| 20 | 2022 | 6 |
About Chun Ruan
Chun Ruan is a scholar working on Molecular Biology, Sociology and Political Science, Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 42 papers that have together received 496 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Access Control and Trust (7 papers), Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (5 papers), Privacy-Preserving Technologies in Data (5 papers), Embedded Systems Design Techniques (4 papers), Real-Time Systems Scheduling (4 papers) and Security and Verification in Computing (4 papers). The work is most often cited by research in Molecular Biology (300 citations), Radiation (30 citations), Radiology, Nuclear Medicine and Imaging (48 citations), Artificial Intelligence (54 citations) and Plant Science (48 citations). Chun Ruan has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Seyed Shahrestani, Jerry L. Workman, Chhabi K. Govind, Hongfang Qiu, Swaminathan Venkatesh, Bing Li, Alan G. Hinnebusch, Daniel S. Ginsburg, Cuihua Hu and Bing Li. Their work appears in journals such as Journal Of Big Data, Journal of Biological Chemistry, Molecular Cell, Medical Physics 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.