Kai Yan
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- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
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- Genomics and Chromatin Dynamics 7
- Epigenetics and DNA Methylation 7
- RNA Research and Splicing 4
- Cancer-related gene regulation 3
- Neurology top 10%
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- Herpesvirus Infections and Treatments 4
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- Acute Myeloid Leukemia Research 3
- Co-authors
- Alexandros TzatsosJaclyn AndricovichWeiqun PengJiang HuJi LeiReginald M. GorczynskiGuo‐Cheng YuanStuart H. Orkin
- Cited by
- ImmunologyMolecular BiologyNeurology
- 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-authorship network
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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 57 | |
| 9 | 2021 | 26 | |
| 10 | 2021 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 20 | |
| 13 | 2018 | 29 | |
| 14 | Protein interactions of flowering inhibitors AGL18 and HDA9 with integrator factors in Brassica oleracea var. italica. | 2018 | 1 |
| 15 | 2018 | 11 | |
| 16 | 2018 | 222 | |
| 17 | 2018 | 40 | |
| 18 | 2016 | 13 | |
| 19 | 2001 | 1 | |
| 20 | Chemical constituents contributing to the color of western red cedar heartwood. | 1990 | 7 |
About Kai Yan
Kai Yan is a scholar working on Immunology, Transplantation, Molecular Biology, Genetics and Hematology, 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), Immune Cell Function and Interaction (4 papers), Herpesvirus Infections and Treatments (4 papers), RNA Research and Splicing (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related gene regulation (3 papers) and Acute Myeloid Leukemia Research (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.