Cankun Wang
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Single-cell and spatial transcriptomics 11
- Gene expression and cancer classification 6
- RNA and protein synthesis mechanisms 6
- Bioinformatics and Genomic Networks 5
- Genomics and Chromatin Dynamics 4
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- Immune cells in cancer 5
- Co-authors
- Qin Ma (34 shared papers)Anjun Ma (17 shared papers)Hongjun Fu (7 shared papers)Ren Qi (2 shared papers)Yuzhou Chang (5 shared papers)Juexin Wang (2 shared papers)Dong Xu (2 shared papers)Yuexu Jiang (2 shared papers)
- Journals
- Briefings in Bioinformatics (4 papers)Nature Communications (4 papers)Nucleic Acids Research (2 papers)Frontiers in Genetics (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Cankun Wang
39 papers receiving 1.3k citations
Cankun Wang's Hit Papers
Peers
Comparison fields: 5 of 111
- Neurology 184
- Cancer Research 212
- Biophysics 82
- Molecular Biology 844
- Developmental Neuroscience 43
Countries citing papers authored by Cankun Wang
This map shows the geographic impact of Cankun 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 Cankun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cankun Wang more than expected).
Fields of papers citing papers by Cankun Wang
This network shows the impact of papers produced by Cankun 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 Cankun Wang. The network helps show where Cankun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cankun 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses Hit paper breakdown → | 2021 | 280 |
| 2 | Microglia coordinate cellular interactions during spinal cord repair in mice Hit paper breakdown → | 2022 | 201 |
| 3 | 2018 | 112 | |
| 4 | Single-cell biological network inference using a heterogeneous graph transformer Hit paper breakdown → | 2023 | 107 |
| 5 | 2020 | 75 | |
| 6 | 2022 | 65 | |
| 7 | 2019 | 50 | |
| 8 | 2020 | 43 | |
| 9 | 2019 | 41 | |
| 10 | 2022 | 34 | |
| 11 | 2019 | 34 | |
| 12 | 2020 | 32 | |
| 13 | 2024 | 27 | |
| 14 | 2019 | 23 | |
| 15 | 2018 | 22 | |
| 16 | 2022 | 19 | |
| 17 | 2024 | 16 | |
| 18 | 2025 | 15 | |
| 19 | 2020 | 11 | |
| 20 | 2024 | 9 |
About Cankun Wang
Cankun Wang is a scholar working on Molecular Biology, Immunology, Cancer Research, Neurology and Epidemiology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (11 papers), Gene expression and cancer classification (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), RNA and protein synthesis mechanisms (6 papers), Immune cells in cancer (5 papers), Bioinformatics and Genomic Networks (5 papers), Cancer-related molecular mechanisms research (5 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Neurology (184 citations), Cancer Research (212 citations), Biophysics (82 citations), Molecular Biology (844 citations) and Developmental Neuroscience (43 citations). Cankun Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qin Ma, Anjun Ma, Hongjun Fu, Ren Qi, Yuzhou Chang, Juexin Wang, Dong Xu, Yuexu Jiang, Yang Li and Jianting Gong. Their work appears in journals such as Briefings in Bioinformatics, Nature Communications, Nucleic Acids Research, Frontiers in Genetics and 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.