Kai Hou
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Extracellular vesicles in disease 4
- Renal and related cancers 2
-
- Renal Diseases and Glomerulopathies 4
- Co-authors
- Yunman Li (13 shared papers)Fengyang Li (11 shared papers)Weirong Fang (9 shared papers)Dan Xu (3 shared papers)Xiangmei Chen (10 shared papers)Shijie Chen (3 shared papers)Xue Gou (6 shared papers)Dan Xu (6 shared papers)
- Journals
- Biomaterials Science (3 papers)PLoS ONE (2 papers)Aesthetic Plastic Surgery (2 papers)Journal of Cellular Physiology (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Kai Hou
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Nephrology 148
- Cancer Research 205
- Neurology 101
- Rehabilitation 58
- Biomaterials 120
Countries citing papers authored by Kai Hou
This map shows the geographic impact of Kai Hou'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 Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Hou more than expected).
Fields of papers citing papers by Kai Hou
This network shows the impact of papers produced by Kai Hou. 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 Hou. The network helps show where Kai Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Hou, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 116 | |
| 2 | 2013 | 102 | |
| 3 | 2019 | 81 | |
| 4 | 2020 | 66 | |
| 5 | 2021 | 60 | |
| 6 | 2019 | 59 | |
| 7 | 2021 | 52 | |
| 8 | 2016 | 50 | |
| 9 | 2024 | 44 | |
| 10 | 2012 | 37 | |
| 11 | 2015 | 35 | |
| 12 | 2018 | 34 | |
| 13 | 2005 | 33 | |
| 14 | 2017 | 33 | |
| 15 | 2019 | 32 | |
| 16 | 2018 | 30 | |
| 17 | 2018 | 29 | |
| 18 | 2020 | 29 | |
| 19 | 2005 | 28 | |
| 20 | 2022 | 28 |
About Kai Hou
Kai Hou is a scholar working on Molecular Biology, Nephrology, Surgery, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (5 papers), Autophagy in Disease and Therapy (4 papers), Extracellular vesicles in disease (4 papers), Renal Diseases and Glomerulopathies (4 papers), Dermatologic Treatments and Research (3 papers), Wound Healing and Treatments (3 papers), MicroRNA in disease regulation (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Nephrology (148 citations), Cancer Research (205 citations), Neurology (101 citations), Rehabilitation (58 citations) and Biomaterials (120 citations). Kai Hou has collaborated with scholars based in China, United States and India. Frequent co-authors include Yunman Li, Fengyang Li, Weirong Fang, Dan Xu, Xiangmei Chen, Shijie Chen, Xue Gou, Dan Xu, Yiping Wu and Guangyan Cai. Their work appears in journals such as Biomaterials Science, PLoS ONE, Aesthetic Plastic Surgery, Journal of Cellular Physiology and Scientific 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.