Kai Sun
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Hematology 33
- Acute Myeloid Leukemia Research 14
- Hematopoietic Stem Cell Transplantation 14
- Platelet Disorders and Treatments 2
- Genetics 4
- Mesenchymal stem cell research 2
- Co-authors
- William J. Murphy (15 shared papers)Lixin Wei (8 shared papers)Bruce R. Blazar (9 shared papers)Zhipeng Han (6 shared papers)Guocheng Jiang (4 shared papers)Thomas Joseph Sayers (3 shared papers)Angela Panoskaltsis‐Mortari (3 shared papers)Mengchao Wu (3 shared papers)
- Journals
- Cancer Management and Research (7 papers)Blood (6 papers)Frontiers in Oncology (3 papers)Future Oncology (3 papers)BMC Cancer (2 papers)
- Partner nations
- ChinaUnited StatesGhana
In The Last Decade
Kai Sun
74 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 74
- Hematology 538
- Genetics 161
- Oncology 176
- Immunology 115
- Epidemiology 124
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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 216 | |
| 2 | 2011 | 165 | |
| 3 | 2013 | 143 | |
| 4 | 2007 | 139 | |
| 5 | 2008 | 125 | |
| 6 | 2005 | 105 | |
| 7 | 2014 | 105 | |
| 8 | 2012 | 85 | |
| 9 | 2010 | 71 | |
| 10 | 2014 | 65 | |
| 11 | 2020 | 56 | |
| 12 | 2004 | 55 | |
| 13 | 2016 | 46 | |
| 14 | 2013 | 41 | |
| 15 | 2018 | 40 | |
| 16 | 2005 | 36 | |
| 17 | 2014 | 36 | |
| 18 | 2018 | 36 | |
| 19 | 2020 | 31 | |
| 20 | 2021 | 30 |
About Kai Sun
Kai Sun is a scholar working on Hematology, Genetics, Oncology, Epidemiology and Molecular Biology, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Hematopoietic Stem Cell Transplantation (14 papers), Retinoids in leukemia and cellular processes (7 papers), Autophagy in Disease and Therapy (3 papers), Cervical Cancer and HPV Research (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Platelet Disorders and Treatments (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Hematology (538 citations), Genetics (161 citations), Oncology (176 citations), Immunology (115 citations) and Epidemiology (124 citations). Kai Sun has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include William J. Murphy, Lixin Wei, Bruce R. Blazar, Zhipeng Han, Guocheng Jiang, Thomas Joseph Sayers, Angela Panoskaltsis‐Mortari, Mengchao Wu, Haiyan Liu and Xinxin Bu. Their work appears in journals such as Cancer Management and Research, Blood, Frontiers in Oncology, Future Oncology and BMC Cancer.
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.