Kai Yan
Impact in
-
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
Papers in
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- Epigenetics and DNA Methylation 7
- Genomics and Chromatin Dynamics 7
- Protein Degradation and Inhibitors 3
- Cancer-related gene regulation 3
- Co-authors
- Alexandros Tzatsos (7 shared papers)Jaclyn Andricovich (5 shared papers)Weiqun Peng (6 shared papers)Guo‐Cheng Yuan (7 shared papers)Stuart H. Orkin (8 shared papers)Adlen Foudi (1 shared paper)Qian Zhu (5 shared papers)Xu Zhang (1 shared paper)
- Journals
- Nature Communications (4 papers)Experimental Hematology (2 papers)Nature Genetics (2 papers)BMC Genomics (2 papers)Journal of Virology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Kai Yan
41 papers receiving 939 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 602
- Cancer Research 120
- Genetics 59
- Oncology 142
- Hematology 58
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 229 | |
| 2 | 2012 | 67 | |
| 3 | 2021 | 61 | |
| 4 | 2016 | 61 | |
| 5 | 2018 | 58 | |
| 6 | 2018 | 42 | |
| 7 | 2022 | 41 | |
| 8 | 2017 | 31 | |
| 9 | 2018 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 26 | |
| 13 | 2022 | 26 | |
| 14 | 2019 | 26 | |
| 15 | 2024 | 24 | |
| 16 | 2020 | 21 | |
| 17 | 2019 | 20 | |
| 18 | 2022 | 17 | |
| 19 | 2024 | 13 | |
| 20 | 2016 | 13 |
About Kai Yan
Kai Yan is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Epidemiology, having authored 44 papers that have together received 947 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (7 papers), Herpesvirus Infections and Treatments (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related gene regulation (3 papers), Acute Myeloid Leukemia Research (3 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Molecular Biology (602 citations), Cancer Research (120 citations), Genetics (59 citations), Oncology (142 citations) and Hematology (58 citations). Kai Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Alexandros Tzatsos, Jaclyn Andricovich, Weiqun Peng, Guo‐Cheng Yuan, Stuart H. Orkin, Adlen Foudi, Qian Zhu, Xu Zhang, Yajun Yang and Jiangning Liu. Their work appears in journals such as Nature Communications, Experimental Hematology, Nature Genetics, BMC Genomics and Journal of Virology.
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.