Kai Yan
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
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- Extracellular vesicles in disease
- Gene expression and cancer classification
- Protein Degradation and Inhibitors
Papers in
-
- Epigenetics and DNA Methylation 2
- Molecular Biology Techniques and Applications 2
- Chromatin Remodeling and Cancer 2
- Angiogenesis and VEGF in Cancer 2
- Extracellular vesicles in disease 2
- Gene expression and cancer classification 2
- Oncology 3
- Lymphatic System and Diseases 2
- Co-authors
- Lajos Pusztai (3 shared papers)Jiahua Zhou (2 shared papers)Lishan Wang (2 shared papers)Henry Gómez (2 shared papers)W. Fraser Symmans (2 shared papers)Vicente Valero (2 shared papers)Gabriel N. Hortobágyi (2 shared papers)Di Zhang (1 shared paper)
- Journals
- Journal of Translational Medicine (1 paper)Frontiers in Endocrinology (1 paper)Oncology Reports (1 paper)Cell Biology and Toxicology (1 paper)Aging and Disease (1 paper)
- Partner nations
- ChinaUnited StatesPeru
In The Last Decade
Kai Yan
14 papers receiving 505 citations
Peers
Comparison fields: 5 of 75
- Cancer Research 186
- Molecular Biology 364
- Oncology 130
- Rheumatology 70
- Genetics 31
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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 137 | |
| 2 | 2020 | 111 | |
| 3 | 2015 | 57 | |
| 4 | 2008 | 49 | |
| 5 | 2015 | 31 | |
| 6 | 2021 | 29 | |
| 7 | 2022 | 21 | |
| 8 | 2016 | 15 | |
| 9 | 2024 | 13 | |
| 10 | 2008 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2016 | 6 |
About Kai Yan
Kai Yan is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Genetics, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (2 papers), Epigenetics and DNA Methylation (2 papers), Molecular Biology Techniques and Applications (2 papers), Chromatin Remodeling and Cancer (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Extracellular vesicles in disease (2 papers), Gene expression and cancer classification (2 papers) and Peripheral Artery Disease Management (2 papers). The work is most often cited by research in Cancer Research (186 citations), Molecular Biology (364 citations), Oncology (130 citations), Rheumatology (70 citations) and Genetics (31 citations). Kai Yan has collaborated with scholars based in China, United States and Peru. Frequent co-authors include Lajos Pusztai, Jiahua Zhou, Lishan Wang, Henry Gómez, W. Fraser Symmans, Vicente Valero, Gabriel N. Hortobágyi, Di Zhang, Menglei Xu and Gaoran Ge. Their work appears in journals such as Journal of Translational Medicine, Frontiers in Endocrinology, Oncology Reports, Cell Biology and Toxicology and Aging and Disease.
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.