Kai Ruan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Aging top 10%
Papers in
-
- Signaling Pathways in Disease 4
- Mitochondrial Function and Pathology 3
- Heat shock proteins research 2
- RNA Research and Splicing 2
- Co-authors
- Gaoliang Ouyang (5 shared papers)Gang Song (3 shared papers)Xiaoguang Fang (1 shared paper)Shideng Bao (3 shared papers)R. Grace Zhai (6 shared papers)Yousuf Ali (4 shared papers)Yubin Mao (2 shared papers)Thomas E. Lloyd (4 shared papers)
- Journals
- Cancer Letters (2 papers)eLife (2 papers)Journal of Visualized Experiments (2 papers)Nature Communications (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kai Ruan
22 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 124
- Cancer Research 593
- Aging 34
- Molecular Biology 1.1k
- Neurology 214
- Geriatrics and Gerontology 48
Countries citing papers authored by Kai Ruan
This map shows the geographic impact of Kai 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 Kai Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Ruan more than expected).
Fields of papers citing papers by Kai Ruan
This network shows the impact of papers produced by Kai 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 Kai Ruan. The network helps show where Kai Ruan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 382 | |
| 2 | 2009 | 372 | |
| 3 | 2018 | 285 | |
| 4 | 2009 | 278 | |
| 5 | 2011 | 136 | |
| 6 | 2009 | 105 | |
| 7 | 2009 | 85 | |
| 8 | 2011 | 85 | |
| 9 | 2020 | 59 | |
| 10 | 2018 | 59 | |
| 11 | 2015 | 31 | |
| 12 | 2016 | 28 | |
| 13 | 2012 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2016 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2011 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2014 | 4 | |
| 20 | An Improved Method of Flotation Froth Image Segmentation Based on Watershed Transformation. | 2017 | 1 |
About Kai Ruan
Kai Ruan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Cancer Research and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Mitochondrial Function and Pathology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Heat shock proteins research (2 papers), RNA Research and Splicing (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Cancer Research (593 citations), Aging (34 citations), Molecular Biology (1.1k citations), Neurology (214 citations) and Geriatrics and Gerontology (48 citations). Kai Ruan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Gaoliang Ouyang, Gang Song, Xiaoguang Fang, Shideng Bao, R. Grace Zhai, Yousuf Ali, Yubin Mao, Thomas E. Lloyd, Ke Zhang and Kathleen M. Cunningham. Their work appears in journals such as Cancer Letters, eLife, Journal of Visualized Experiments, Nature Communications and Multimedia Tools and Applications.
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.