Kai Shen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Oncology top 5%
- Colorectal Cancer Surgical Treatments
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 20
- Colorectal Cancer Surgical Treatments 8
- Cancer Immunotherapy and Biomarkers 4
- HER2/EGFR in Cancer Research 3
- Co-authors
- Xuelei Ma (9 shared papers)Chunjian Qi (3 shared papers)Chenjing Zhu (6 shared papers)Yongling Ning (2 shared papers)Jie Fei Pan (1 shared paper)Yu Bai (1 shared paper)Yewen Xie (1 shared paper)Qiyong Wu (1 shared paper)
- Journals
- Medicine (3 papers)Nature Communications (3 papers)Materials & Design (3 papers)Biochemical and Biophysical Research Communications (2 papers)Cancer Cell International (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Kai Shen
83 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 121
- Cancer Research 353
- Oncology 519
- Gastroenterology 93
- Molecular Biology 702
- Rheumatology 141
Countries citing papers authored by Kai Shen
This map shows the geographic impact of Kai Shen'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 Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Shen more than expected).
Fields of papers citing papers by Kai Shen
This network shows the impact of papers produced by Kai Shen. 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 Shen. The network helps show where Kai Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Shen, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 208 | |
| 2 | 2021 | 136 | |
| 3 | 2021 | 114 | |
| 4 | 2022 | 99 | |
| 5 | 2017 | 98 | |
| 6 | 2016 | 72 | |
| 7 | 2021 | 70 | |
| 8 | 2018 | 69 | |
| 9 | 2020 | 68 | |
| 10 | 2021 | 63 | |
| 11 | 2020 | 57 | |
| 12 | 2011 | 56 | |
| 13 | 2019 | 54 | |
| 14 | 2014 | 48 | |
| 15 | 2016 | 45 | |
| 16 | 2021 | 45 | |
| 17 | 2011 | 43 | |
| 18 | 2021 | 43 | |
| 19 | 2018 | 40 | |
| 20 | 2017 | 37 |
About Kai Shen
Kai Shen is a scholar working on Oncology, Cancer Research, Rheumatology, Surgery and Molecular Biology, having authored 91 papers that have together received 2.1k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Spinal Fractures and Fixation Techniques (5 papers), 3D Printing in Biomedical Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cellular Mechanics and Interactions (4 papers), Circular RNAs in diseases (4 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Cancer Research (353 citations), Oncology (519 citations), Gastroenterology (93 citations), Molecular Biology (702 citations) and Rheumatology (141 citations). Kai Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xuelei Ma, Chunjian Qi, Chenjing Zhu, Yongling Ning, Jie Fei Pan, Yu Bai, Yewen Xie, Qiyong Wu, Xiao Yan Sun and Kewei Jiang. Their work appears in journals such as Medicine, Nature Communications, Materials & Design, Biochemical and Biophysical Research Communications and Cancer Cell International.
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.