Kai Chen
Impact in
- Surgery top 5%
- Scoliosis diagnosis and treatment
- Spinal Fractures and Fixation Techniques
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- Spine and Intervertebral Disc Pathology
Papers in
- Surgery 51
- Scoliosis diagnosis and treatment 34
- Spinal Fractures and Fixation Techniques 17
- Pelvic and Acetabular Injuries 5
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- Spine and Intervertebral Disc Pathology 9
- Co-authors
- Yushu Bai (35 shared papers)Ming Li (30 shared papers)Shaoyong Lu (3 shared papers)Xiao Zhai (17 shared papers)Xianzhao Wei (24 shared papers)Xun Lu (2 shared papers)Ting Chen (1 shared paper)Xiaobing Lan (1 shared paper)
- Journals
- Spine (12 papers)Medicine (5 papers)Journal of Nanobiotechnology (3 papers)BMC Musculoskeletal Disorders (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Kai Chen
103 papers receiving 2.3k citations
Kai Chen's Hit Papers
Peers
Comparison fields: 5 of 152
- Surgery 640
- Pathology and Forensic Medicine 232
- Nephrology 84
- Cancer Research 139
- Physiology 44
Countries citing papers authored by Kai Chen
This map shows the geographic impact of Kai Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Chen more than expected).
Fields of papers citing papers by Kai Chen
This network shows the impact of papers produced by Kai Chen. 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 Chen. The network helps show where Kai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Chen, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | G protein-coupled receptors (GPCRs): advances in structures, mechanisms and drug discovery Hit paper breakdown → | 2024 | 241 |
| 2 | 2011 | 123 | |
| 3 | 2015 | 110 | |
| 4 | 2007 | 106 | |
| 5 | 2014 | 103 | |
| 6 | 2021 | 98 | |
| 7 | 2005 | 71 | |
| 8 | 2021 | 66 | |
| 9 | 2015 | 59 | |
| 10 | 2005 | 57 | |
| 11 | 2022 | 50 | |
| 12 | 2016 | 48 | |
| 13 | 2016 | 45 | |
| 14 | 2011 | 44 | |
| 15 | 2023 | 42 | |
| 16 | 2021 | 38 | |
| 17 | 2010 | 38 | |
| 18 | 2023 | 35 | |
| 19 | 2020 | 32 | |
| 20 | 2014 | 31 |
About Kai Chen
Kai Chen is a scholar working on Surgery, Pathology and Forensic Medicine, Cancer Research, Pharmacology and Molecular Biology, having authored 109 papers that have together received 2.4k indexed citations. Recurring topics across this work include Scoliosis diagnosis and treatment (34 papers), Spinal Fractures and Fixation Techniques (17 papers), Spine and Intervertebral Disc Pathology (9 papers), Musculoskeletal pain and rehabilitation (7 papers), Cancer-related molecular mechanisms research (5 papers), Pelvic and Acetabular Injuries (5 papers), Medical Imaging and Analysis (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Surgery (640 citations), Pathology and Forensic Medicine (232 citations), Nephrology (84 citations), Cancer Research (139 citations) and Physiology (44 citations). Kai Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yushu Bai, Ming Li, Shaoyong Lu, Xiao Zhai, Xianzhao Wei, Xun Lu, Ting Chen, Xiaobing Lan, Chuanfeng Wang and Mingyuan Yang. Their work appears in journals such as Spine, Medicine, Journal of Nanobiotechnology, BMC Musculoskeletal Disorders and PLoS ONE.
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.