Kai Yan
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 12
- Immune cells in cancer 4
- Immune Cell Function and Interaction 4
- Co-authors
- W. Fraser Symmans (7 shared papers)Lajos Pusztai (5 shared papers)Gabriel N. Hortobágyi (6 shared papers)Jie Tian (1 shared paper)Wenzheng Shi (1 shared paper)Yuanfang Zhu (1 shared paper)Cornelia Liedtke (3 shared papers)Fabrice André (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Journal of Clinical Oncology (3 papers)PLoS ONE (2 papers)Breast Cancer Research (2 papers)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Kai Yan
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 522
- Oncology 307
- Internal Medicine 35
- Immunology 163
- Molecular Biology 532
Countries citing papers authored by Kai Yan
This map shows the geographic impact of Kai Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yan more than expected).
Fields of papers citing papers by Kai Yan
This network shows the impact of papers produced by Kai Yan. 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 Yan. The network helps show where Kai Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Yan, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 250 | |
| 2 | 2017 | 148 | |
| 3 | 2019 | 95 | |
| 4 | 2010 | 84 | |
| 5 | 2015 | 57 | |
| 6 | 2008 | 51 | |
| 7 | 2023 | 49 | |
| 8 | 2017 | 44 | |
| 9 | 2020 | 38 | |
| 10 | 2020 | 36 | |
| 11 | 2015 | 34 | |
| 12 | 2021 | 33 | |
| 13 | 2024 | 31 | |
| 14 | 2007 | 30 | |
| 15 | 2014 | 29 | |
| 16 | 2010 | 27 | |
| 17 | 2012 | 23 | |
| 18 | 2018 | 23 | |
| 19 | 2013 | 22 | |
| 20 | 2014 | 21 |
About Kai Yan
Kai Yan is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Cancer-related molecular mechanisms research (4 papers), Immune Cell Function and Interaction (4 papers), HER2/EGFR in Cancer Research (3 papers), Ferroptosis and cancer prognosis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Quantum Mechanics and Applications (2 papers). The work is most often cited by research in Cancer Research (522 citations), Oncology (307 citations), Internal Medicine (35 citations), Immunology (163 citations) and Molecular Biology (532 citations). Kai Yan has collaborated with scholars based in China, United States and France. Frequent co-authors include W. Fraser Symmans, Lajos Pusztai, Gabriel N. Hortobágyi, Jie Tian, Wenzheng Shi, Yuanfang Zhu, Cornelia Liedtke, Fabrice André, Attila Tordai and Catherine Richon. Their work appears in journals such as Frontiers in Immunology, Journal of Clinical Oncology, PLoS ONE, Breast Cancer Research and The FASEB Journal.
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.