Kai Yan
Impact in
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- 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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- Genomics and Chromatin Dynamics 7
- Epigenetics and DNA Methylation 7
- RNA Research and Splicing 4
- Cancer-related gene regulation 3
- Immunology 10
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Co-authors
- Alexandros Tzatsos (6 shared papers)Jaclyn Andricovich (5 shared papers)Weiqun Peng (5 shared papers)Jiang Hu (5 shared papers)Ji Lei (4 shared papers)Reginald M. Gorczynski (3 shared papers)Reginald M. Gorczynski (4 shared papers)Guo‐Cheng Yuan (7 shared papers)
- Journals
- Nature Communications (4 papers)Nature Genetics (2 papers)BMC Genomics (2 papers)Transplantation (2 papers)International Archives of Occupational and Environmental Health (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kai Yan
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Immunology 187
- Molecular Biology 607
- Neurology 71
- Cancer Research 126
- Oncology 176
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 222 | |
| 2 | 2003 | 77 | |
| 3 | 1999 | 64 | |
| 4 | 2012 | 64 | |
| 5 | 2016 | 60 | |
| 6 | 2021 | 57 | |
| 7 | 2001 | 50 | |
| 8 | 2022 | 41 | |
| 9 | 2018 | 40 | |
| 10 | 2017 | 31 | |
| 11 | 2018 | 29 | |
| 12 | 2019 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2019 | 26 | |
| 15 | 2021 | 25 | |
| 16 | 2022 | 23 | |
| 17 | 2024 | 22 | |
| 18 | 2002 | 22 | |
| 19 | 2020 | 21 | |
| 20 | 2019 | 20 |
About Kai Yan
Kai Yan is a scholar working on Molecular Biology, Immunology, Epidemiology, Infectious Diseases and Surgery, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Epigenetics and DNA Methylation (7 papers), RNA Research and Splicing (4 papers), Immune Cell Function and Interaction (4 papers), Herpesvirus Infections and Treatments (4 papers), Acute Myeloid Leukemia Research (3 papers), Immunotherapy and Immune Responses (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Immunology (187 citations), Molecular Biology (607 citations), Neurology (71 citations), Cancer Research (126 citations) and Oncology (176 citations). Kai Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Alexandros Tzatsos, Jaclyn Andricovich, Weiqun Peng, Jiang Hu, Ji Lei, Reginald M. Gorczynski, Reginald M. Gorczynski, Guo‐Cheng Yuan, Stuart H. Orkin and Adlen Foudi. Their work appears in journals such as Nature Communications, Nature Genetics, BMC Genomics, Transplantation and International Archives of Occupational and Environmental Health.
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.