Kankan Wang
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Retinoids in leukemia and cellular processes 26
- Protein Degradation and Inhibitors 8
- RNA Research and Splicing 7
- Single-cell and spatial transcriptomics 6
- Histone Deacetylase Inhibitors Research 5
- Hematology 33
- Acute Myeloid Leukemia Research 26
- Co-authors
- Yanzhi Du (15 shared papers)Hai Fang (19 shared papers)Sai‐Juan Chen (15 shared papers)Shuyong Wei (2 shared papers)Wen Jin (17 shared papers)Shufen Li (6 shared papers)Yuxing Zhang (2 shared papers)Xiaoling Wang (7 shared papers)
- Journals
- Blood (7 papers)Proceedings of the National Academy of Sciences (7 papers)Frontiers of Medicine (5 papers)PLoS ONE (4 papers)Genomics Proteomics & Bioinformatics (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kankan Wang
81 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 127
- Hematology 491
- Cancer Research 410
- Molecular Biology 1.3k
- Biochemistry 51
- Immunology 165
Countries citing papers authored by Kankan Wang
This map shows the geographic impact of Kankan Wang'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 Kankan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kankan Wang more than expected).
Fields of papers citing papers by Kankan Wang
This network shows the impact of papers produced by Kankan Wang. 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 Kankan Wang. The network helps show where Kankan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kankan Wang, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 208 | |
| 2 | 2010 | 132 | |
| 3 | 2011 | 129 | |
| 4 | 2014 | 85 | |
| 5 | 2004 | 71 | |
| 6 | 2017 | 65 | |
| 7 | 2020 | 60 | |
| 8 | 2010 | 60 | |
| 9 | 2003 | 58 | |
| 10 | 2019 | 58 | |
| 11 | 2018 | 57 | |
| 12 | 2011 | 55 | |
| 13 | 2009 | 51 | |
| 14 | 2016 | 49 | |
| 15 | 2015 | 49 | |
| 16 | 2013 | 47 | |
| 17 | 2017 | 44 | |
| 18 | 2015 | 38 | |
| 19 | 2009 | 34 | |
| 20 | 2009 | 32 |
About Kankan Wang
Kankan Wang is a scholar working on Molecular Biology, Hematology, Cancer Research, Immunology and Oncology, having authored 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (26 papers), Acute Myeloid Leukemia Research (26 papers), Cancer-related molecular mechanisms research (9 papers), Protein Degradation and Inhibitors (8 papers), RNA Research and Splicing (7 papers), Single-cell and spatial transcriptomics (6 papers), Histone Deacetylase Inhibitors Research (5 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Hematology (491 citations), Cancer Research (410 citations), Molecular Biology (1.3k citations), Biochemistry (51 citations) and Immunology (165 citations). Kankan Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yanzhi Du, Hai Fang, Sai‐Juan Chen, Shuyong Wei, Wen Jin, Shufen Li, Yuxing Zhang, Xiaoling Wang, Yun Tan and Chen Zhu. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Frontiers of Medicine, PLoS ONE and Genomics Proteomics & Bioinformatics.
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.