Yun Tan
Impact in
- Immunology top 10%
- Aquaculture disease management and microbiota
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Retinoids in leukemia and cellular processes 10
- Protein Degradation and Inhibitors 6
- Epigenetics and DNA Methylation 4
- Hematology 14
- Acute Myeloid Leukemia Research 14
- Co-authors
- Kankan Wang (15 shared papers)Yongju Luo (6 shared papers)Jiajie Zhu (7 shared papers)Sai‐Juan Chen (10 shared papers)Gan Xi (5 shared papers)Hesheng Jiang (5 shared papers)Chao Li (3 shared papers)Wen Jin (6 shared papers)
- Journals
- Frontiers of Medicine (7 papers)Blood (4 papers)Fish & Shellfish Immunology (4 papers)Cell Death and Disease (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yun Tan
52 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Immunology 297
- Cancer Research 161
- Hematology 110
- Aquatic Science 58
- Molecular Biology 498
Countries citing papers authored by Yun Tan
This map shows the geographic impact of Yun Tan'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 Yun Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Tan more than expected).
Fields of papers citing papers by Yun Tan
This network shows the impact of papers produced by Yun Tan. 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 Yun Tan. The network helps show where Yun Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun Tan, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 141 | |
| 2 | 2015 | 77 | |
| 3 | 2020 | 60 | |
| 4 | 2018 | 57 | |
| 5 | 2017 | 55 | |
| 6 | 2020 | 48 | |
| 7 | 2022 | 48 | |
| 8 | 2015 | 38 | |
| 9 | 2014 | 33 | |
| 10 | 2011 | 32 | |
| 11 | 2023 | 32 | |
| 12 | 2012 | 25 | |
| 13 | 2020 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2019 | 23 | |
| 16 | 2019 | 22 | |
| 17 | 2018 | 22 | |
| 18 | 2021 | 21 | |
| 19 | 2009 | 20 | |
| 20 | 2020 | 20 |
About Yun Tan
Yun Tan is a scholar working on Molecular Biology, Hematology, Immunology, Infectious Diseases and Oncology, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Retinoids in leukemia and cellular processes (10 papers), Protein Degradation and Inhibitors (6 papers), interferon and immune responses (5 papers), Aquaculture disease management and microbiota (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related Molecular Pathways (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Immunology (297 citations), Cancer Research (161 citations), Hematology (110 citations), Aquatic Science (58 citations) and Molecular Biology (498 citations). Yun Tan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kankan Wang, Yongju Luo, Jiajie Zhu, Sai‐Juan Chen, Gan Xi, Hesheng Jiang, Chao Li, Wen Jin, Shufen Li and Rongsheng Zhang. Their work appears in journals such as Frontiers of Medicine, Blood, Fish & Shellfish Immunology, Cell Death and Disease and Proceedings of the National Academy of Sciences.
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.