Kai Ruan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
Papers in
-
- Amyotrophic Lateral Sclerosis Research 5
- Parkinson's Disease Mechanisms and Treatments 2
- Genetics 5
- Neurogenetic and Muscular Disorders Research 5
- Co-authors
- Gaoliang Ouyang (5 shared papers)Gang Song (3 shared papers)Xiaoguang Fang (1 shared paper)Shideng Bao (3 shared papers)Rong Grace Zhai (6 shared papers)Yousuf Ali (5 shared papers)Yubin Mao (2 shared papers)Thomas E. Lloyd (3 shared papers)
- Journals
- eLife (2 papers)Cell (2 papers)Journal of Visualized Experiments (2 papers)Nature Communications (2 papers)Cancer Letters (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kai Ruan
26 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 614
- Neurology 318
- Aging 38
- Molecular Biology 1.2k
- Genetics 176
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 394 | |
| 2 | 2009 | 388 | |
| 3 | 2018 | 302 | |
| 4 | 2009 | 286 | |
| 5 | 2011 | 140 | |
| 6 | 2021 | 124 | |
| 7 | 2009 | 107 | |
| 8 | 2009 | 91 | |
| 9 | 2011 | 89 | |
| 10 | 2020 | 63 | |
| 11 | 2018 | 63 | |
| 12 | 2021 | 48 | |
| 13 | 2015 | 34 | |
| 14 | 2016 | 29 | |
| 15 | 2012 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2016 | 15 | |
| 18 | 2015 | 12 | |
| 19 | 2011 | 6 | |
| 20 | 2024 | 5 |
About Kai Ruan
Kai Ruan is a scholar working on Neurology, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Geriatrics and Gerontology, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (5 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Signaling Pathways in Disease (4 papers), Neurobiology and Insect Physiology Research (3 papers), Image Retrieval and Classification Techniques (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Heat shock proteins research (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (614 citations), Neurology (318 citations), Aging (38 citations), Molecular Biology (1.2k citations) and Genetics (176 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, Rong Grace Zhai, Yousuf Ali, Yubin Mao, Thomas E. Lloyd, Kathleen M. Cunningham and Ke Zhang. Their work appears in journals such as eLife, Cell, Journal of Visualized Experiments, Nature Communications and Cancer Letters.
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.