Cankun Wang
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biophysics top 5%
Papers in
-
- Single-cell and spatial transcriptomics 10
- RNA and protein synthesis mechanisms 6
- Gene expression and cancer classification 6
- Genomics and Phylogenetic Studies 5
- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 5
-
- Cancer-related molecular mechanisms research 6
- Co-authors
- Qin Ma (33 shared papers)Anjun Ma (16 shared papers)Hongjun Fu (7 shared papers)Ren Qi (2 shared papers)Yuzhou Chang (5 shared papers)Dong Xu (2 shared papers)Juexin Wang (2 shared papers)Yuexu Jiang (2 shared papers)
- Journals
- Nature Communications (4 papers)Briefings in Bioinformatics (4 papers)Nucleic Acids Research (2 papers)Frontiers in Genetics (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Cankun Wang
37 papers receiving 1.1k citations
Cankun Wang's Hit Papers
Peers
Comparison fields: 5 of 106
- Neurology 200
- Biophysics 82
- Cancer Research 215
- Molecular Biology 807
- Developmental Neuroscience 47
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 39 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 | 250 |
| 2 | Microglia coordinate cellular interactions during spinal cord repair in mice Hit paper breakdown → | 2022 | 176 |
| 3 | 2018 | 102 | |
| 4 | 2023 | 93 | |
| 5 | 2020 | 71 | |
| 6 | 2022 | 54 | |
| 7 | 2019 | 47 | |
| 8 | 2020 | 42 | |
| 9 | 2019 | 40 | |
| 10 | 2019 | 32 | |
| 11 | 2022 | 31 | |
| 12 | 2020 | 27 | |
| 13 | 2019 | 23 | |
| 14 | 2024 | 22 | |
| 15 | 2018 | 21 | |
| 16 | 2022 | 16 | |
| 17 | 2024 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2024 | 8 | |
| 20 | 2021 | 6 |
About Cankun Wang
Cankun Wang is a scholar working on Molecular Biology, Cancer Research, Immunology, Neurology and Epidemiology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Cancer-related molecular mechanisms research (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), RNA and protein synthesis mechanisms (6 papers), Gene expression and cancer classification (6 papers), Genomics and Phylogenetic Studies (5 papers), Bioinformatics and Genomic Networks (5 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Neurology (200 citations), Biophysics (82 citations), Cancer Research (215 citations), Molecular Biology (807 citations) and Developmental Neuroscience (47 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, Dong Xu, Juexin Wang, Yuexu Jiang, Jianting Gong and Yang Li. Their work appears in journals such as Nature Communications, Briefings in Bioinformatics, Nucleic Acids Research, Frontiers in Genetics and Scientific Reports.
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.