Yangkun Cao
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Computational Drug Discovery Methods
Papers in
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- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 3
- RNA modifications and cancer 3
- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 2
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 2
- Co-authors
- Ping Xuan (4 shared papers)Tiangang Zhang (3 shared papers)Nan Sheng (5 shared papers)Rui Kong (1 shared paper)Zhaogong Zhang (1 shared paper)Lan Huang (3 shared papers)Xiao Wang (1 shared paper)Jinmao Wei (1 shared paper)
- Journals
- Frontiers in Genetics (4 papers)Briefings in Bioinformatics (3 papers)Bioinformatics (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Computers in Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yangkun Cao
12 papers receiving 287 citations
Peers
Comparison fields: 5 of 48
- Cancer Research 121
- Computational Theory and Mathematics 103
- Molecular Biology 185
- Pharmacology 9
- Health Informatics 1
Countries citing papers authored by Yangkun Cao
This map shows the geographic impact of Yangkun Cao'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 Yangkun Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangkun Cao more than expected).
Fields of papers citing papers by Yangkun Cao
This network shows the impact of papers produced by Yangkun Cao. 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 Yangkun Cao. The network helps show where Yangkun Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yangkun Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2019 | 58 | |
| 3 | 2023 | 35 | |
| 4 | 2021 | 31 | |
| 5 | 2022 | 25 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 0 |
About Yangkun Cao
Yangkun Cao is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 13 papers that have together received 289 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Computational Drug Discovery Methods (4 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (3 papers), RNA modifications and cancer (3 papers), Circular RNAs in diseases (3 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (121 citations), Computational Theory and Mathematics (103 citations), Molecular Biology (185 citations), Pharmacology (9 citations) and Health Informatics (1 citation). Yangkun Cao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ping Xuan, Tiangang Zhang, Nan Sheng, Rui Kong, Zhaogong Zhang, Lan Huang, Xiao Wang, Jinmao Wei, Jian Liu and Yan Wang. Their work appears in journals such as Frontiers in Genetics, Briefings in Bioinformatics, Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Computers in Biology and Medicine.
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.