Kai Sun
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
- Hematology 41
- Acute Myeloid Leukemia Research 17
- Hematopoietic Stem Cell Transplantation 14
- Platelet Disorders and Treatments 6
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- Retinoids in leukemia and cellular processes 6
- Epigenetics and DNA Methylation 6
- Co-authors
- Lixin Wei (16 shared papers)Jianrui Song (8 shared papers)William J. Murphy (14 shared papers)Xianling Guo (8 shared papers)Mengchao Wu (7 shared papers)Qiudong Zhao (6 shared papers)Shanshan Zhang (8 shared papers)Bruce R. Blazar (9 shared papers)
- Journals
- Cancer Management and Research (7 papers)Blood (6 papers)Frontiers in Oncology (3 papers)BMC Cancer (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesGhana
In The Last Decade
Kai Sun
117 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 138
- Hematology 517
- Genetics 341
- Cancer Research 464
- Immunology 668
- Oncology 655
Countries citing papers authored by Kai Sun
This map shows the geographic impact of Kai Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Sun more than expected).
Fields of papers citing papers by Kai Sun
This network shows the impact of papers produced by Kai Sun. 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 Sun. The network helps show where Kai Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Sun, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 198 | |
| 2 | 2008 | 187 | |
| 3 | 2011 | 165 | |
| 4 | 2009 | 165 | |
| 5 | 2012 | 159 | |
| 6 | 2013 | 143 | |
| 7 | 2013 | 140 | |
| 8 | 2007 | 134 | |
| 9 | 2008 | 123 | |
| 10 | 2014 | 101 | |
| 11 | 2005 | 99 | |
| 12 | 2013 | 98 | |
| 13 | 2012 | 95 | |
| 14 | 2012 | 84 | |
| 15 | 2013 | 76 | |
| 16 | 2010 | 71 | |
| 17 | 2009 | 70 | |
| 18 | 2014 | 55 | |
| 19 | 2004 | 54 | |
| 20 | 2020 | 54 |
About Kai Sun
Kai Sun is a scholar working on Hematology, Molecular Biology, Oncology, Epidemiology and Immunology, having authored 124 papers that have together received 3.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Hematopoietic Stem Cell Transplantation (14 papers), Autophagy in Disease and Therapy (12 papers), T-cell and B-cell Immunology (8 papers), Retinoids in leukemia and cellular processes (6 papers), Platelet Disorders and Treatments (6 papers), Epigenetics and DNA Methylation (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Hematology (517 citations), Genetics (341 citations), Cancer Research (464 citations), Immunology (668 citations) and Oncology (655 citations). Kai Sun has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Lixin Wei, Jianrui Song, William J. Murphy, Xianling Guo, Mengchao Wu, Qiudong Zhao, Shanshan Zhang, Bruce R. Blazar, Xue Zhao and Wei-jie Deng. Their work appears in journals such as Cancer Management and Research, Blood, Frontiers in Oncology, BMC Cancer and PLoS ONE.
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.