Kai Teng
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Aortic aneurysm repair treatments
Papers in
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- RNA modifications and cancer 2
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
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- Aortic aneurysm repair treatments 2
- Ferroptosis and cancer prognosis 1
- Co-authors
- Dan Xie (5 shared papers)Muyan Cai (3 shared papers)John G. Carson (3 shared papers)Eugene S. Lee (3 shared papers)Rui‐Hua Xu (3 shared papers)Miaomiao Dai (3 shared papers)Xin‐Yuan Guan (2 shared papers)Jin‐Ling Duan (3 shared papers)
- Journals
- Journal of Vascular Surgery (2 papers)Protein & Cell (1 paper)Annals of Vascular Surgery (1 paper)APOPTOSIS (1 paper)Journal of Experimental & Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kai Teng
16 papers receiving 546 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 134
- Pulmonary and Respiratory Medicine 134
- Molecular Biology 261
- Cell Biology 55
- Oncology 76
Countries citing papers authored by Kai Teng
This map shows the geographic impact of Kai Teng'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 Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Teng more than expected).
Fields of papers citing papers by Kai Teng
This network shows the impact of papers produced by Kai Teng. 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 Teng. The network helps show where Kai Teng may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Teng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 113 | |
| 2 | 2020 | 88 | |
| 3 | 2023 | 56 | |
| 4 | 2013 | 55 | |
| 5 | 2010 | 55 | |
| 6 | 2019 | 50 | |
| 7 | 2020 | 39 | |
| 8 | 2012 | 36 | |
| 9 | 2019 | 22 | |
| 10 | 2015 | 13 | |
| 11 | [Prognosis of 84 intrahepatic cholangiocarcinoma patients]. | 2009 | 10 |
| 12 | 2025 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 2025 | 0 |
About Kai Teng
Kai Teng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Oncology and Surgery, having authored 17 papers that have together received 551 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (2 papers), Aortic aneurysm repair treatments (2 papers), RNA modifications and cancer (2 papers), DNA Repair Mechanisms (1 paper), Ferroptosis and cancer prognosis (1 paper), Ubiquitin and proteasome pathways (1 paper), Head and Neck Cancer Studies (1 paper) and Metal-Organic Frameworks: Synthesis and Applications (1 paper). The work is most often cited by research in Cancer Research (134 citations), Pulmonary and Respiratory Medicine (134 citations), Molecular Biology (261 citations), Cell Biology (55 citations) and Oncology (76 citations). Kai Teng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dan Xie, Muyan Cai, John G. Carson, Eugene S. Lee, Rui‐Hua Xu, Miaomiao Dai, Xin‐Yuan Guan, Jin‐Ling Duan, Zihao Feng and Feng‐Wei Wang. Their work appears in journals such as Journal of Vascular Surgery, Protein & Cell, Annals of Vascular Surgery, APOPTOSIS and Journal of Experimental & Clinical Cancer Research.
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.