Kai Chen
Impact in
-
- Spine and Intervertebral Disc Pathology
- Surgery top 5%
- Spinal Fractures and Fixation Techniques
- Scoliosis diagnosis and treatment
- Pelvic and Acetabular Injuries
Papers in
- Surgery 53
- Scoliosis diagnosis and treatment 38
- Spinal Fractures and Fixation Techniques 37
- Pelvic and Acetabular Injuries 17
-
- RNA modifications and cancer 6
- Co-authors
- Yushu Bai (36 shared papers)Ming Li (31 shared papers)Xianzhao Wei (25 shared papers)Xiao Zhai (18 shared papers)Shaoyong Lu (3 shared papers)Chuanfeng Wang (18 shared papers)Xianmin Xu (2 shared papers)Satoru Kobayashi (2 shared papers)
- Journals
- Spine (12 papers)Medicine (5 papers)BMC Musculoskeletal Disorders (3 papers)Journal of Nanobiotechnology (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kai Chen
105 papers receiving 2.1k citations
Kai Chen's Hit Papers
Peers
Comparison fields: 5 of 156
- Pathology and Forensic Medicine 423
- Surgery 734
- Health Informatics 17
- Nephrology 87
- Cancer Research 172
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 | 171 |
| 2 | 2011 | 120 | |
| 3 | 2015 | 101 | |
| 4 | 2007 | 100 | |
| 5 | 2014 | 97 | |
| 6 | 2021 | 82 | |
| 7 | 2005 | 68 | |
| 8 | 2021 | 61 | |
| 9 | 2005 | 56 | |
| 10 | 2015 | 53 | |
| 11 | 2016 | 45 | |
| 12 | 2017 | 44 | |
| 13 | 2022 | 43 | |
| 14 | 2016 | 43 | |
| 15 | 2011 | 41 | |
| 16 | 2010 | 36 | |
| 17 | 2021 | 34 | |
| 18 | 2023 | 30 | |
| 19 | 2014 | 30 | |
| 20 | 2017 | 29 |
About Kai Chen
Kai Chen is a scholar working on Surgery, Molecular Biology, Pathology and Forensic Medicine, Biomedical Engineering and Pharmacology, having authored 109 papers that have together received 2.2k indexed citations. Recurring topics across this work include Scoliosis diagnosis and treatment (38 papers), Spinal Fractures and Fixation Techniques (37 papers), Spine and Intervertebral Disc Pathology (21 papers), Pelvic and Acetabular Injuries (17 papers), Musculoskeletal pain and rehabilitation (10 papers), Medical Imaging and Analysis (8 papers), RNA modifications and cancer (6 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (423 citations), Surgery (734 citations), Health Informatics (17 citations), Nephrology (87 citations) and Cancer Research (172 citations). Kai Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yushu Bai, Ming Li, Xianzhao Wei, Xiao Zhai, Shaoyong Lu, Chuanfeng Wang, Xianmin Xu, Satoru Kobayashi, Mingyuan Yang and Qiangrong Liang. Their work appears in journals such as Spine, Medicine, BMC Musculoskeletal Disorders, Journal of Nanobiotechnology 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.