Kai Tan
Impact in
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Oncology top 2%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Genomics and Chromatin Dynamics 27
- Single-cell and spatial transcriptomics 13
- Bioinformatics and Genomic Networks 10
- Hematology 15
- Hematopoietic Stem Cell Transplantation 11
- Acute Myeloid Leukemia Research 4
- Co-authors
- Bing He (19 shared papers)Changya Chen (10 shared papers)Li Teng (7 shared papers)Long Gao (12 shared papers)Qin Zhu (7 shared papers)Peng Gao (12 shared papers)Tao Peng (4 shared papers)Duygu Ucar (2 shared papers)
- Journals
- Blood (14 papers)Nature Communications (7 papers)Proceedings of the National Academy of Sciences (6 papers)Bioinformatics (5 papers)Cell (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Kai Tan
117 papers receiving 6.7k citations
Kai Tan's Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 3.5k
- Oncology 1.2k
- Hematology 624
- Immunology 551
- Aging 37
Countries citing papers authored by Kai Tan
This map shows the geographic impact of Kai 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 Kai Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Tan more than expected).
Fields of papers citing papers by Kai Tan
This network shows the impact of papers produced by Kai 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 Kai Tan. The network helps show where Kai Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai 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 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Decade-long leukaemia remissions with persistence of CD4+ CAR T cells Hit paper breakdown → | 2022 | 722 |
| 2 | 2010 | 583 | |
| 3 | The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution Hit paper breakdown → | 2020 | 385 |
| 4 | 2019 | 351 | |
| 5 | 2009 | 346 | |
| 6 | 2014 | 203 | |
| 7 | 2015 | 186 | |
| 8 | 2014 | 176 | |
| 9 | 2021 | 168 | |
| 10 | Mapping the cellular biogeography of human bone marrow niches using single-cell transcriptomics and proteomic imaging Hit paper breakdown → | 2024 | 161 |
| 11 | 2019 | 157 | |
| 12 | FOXO1 is a master regulator of memory programming in CAR T cells Hit paper breakdown → | 2024 | 151 |
| 13 | 2014 | 144 | |
| 14 | 2010 | 135 | |
| 15 | 2016 | 135 | |
| 16 | 2020 | 119 | |
| 17 | 2021 | 103 | |
| 18 | 2015 | 96 | |
| 19 | 2016 | 95 | |
| 20 | 2023 | 94 |
About Kai Tan
Kai Tan is a scholar working on Molecular Biology, Hematology, Public Health, Environmental and Occupational Health, Oncology and Immunology, having authored 122 papers that have together received 6.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (27 papers), Acute Lymphoblastic Leukemia research (15 papers), Single-cell and spatial transcriptomics (13 papers), Hematopoietic Stem Cell Transplantation (11 papers), Bioinformatics and Genomic Networks (10 papers), CAR-T cell therapy research (7 papers), Acute Myeloid Leukemia Research (4 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Oncology (1.2k citations), Hematology (624 citations), Immunology (551 citations) and Aging (37 citations). Kai Tan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bing He, Changya Chen, Li Teng, Long Gao, Qin Zhu, Peng Gao, Tao Peng, Duygu Ucar, Nancy A. Speck and Wenbao Yu. Their work appears in journals such as Blood, Nature Communications, Proceedings of the National Academy of Sciences, Bioinformatics and Cell.
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.