Can Yang
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- Machine Learning in Bioinformatics
Papers in
- Genetics 36
- Genetic Associations and Epidemiology 36
- Genetic Mapping and Diversity in Plants and Animals 8
- Genetic and phenotypic traits in livestock 7
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- Single-cell and spatial transcriptomics 12
- Gene expression and cancer classification 6
- RNA modifications and cancer 3
- Co-authors
- Xiang Wan (25 shared papers)Weichuan Yu (17 shared papers)Qiang Yang (11 shared papers)Hong Xue (9 shared papers)Nelson L.S. Tang (5 shared papers)Jin Liu (19 shared papers)Xiaodan Fan (1 shared paper)Xianghong Hu (7 shared papers)
- Journals
- Bioinformatics (19 papers)Nature Communications (7 papers)BMC Bioinformatics (5 papers)The American Journal of Human Genetics (4 papers)Journal of Computational and Graphical Statistics (2 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Can Yang
76 papers receiving 2.2k citations
Can Yang's Hit Papers
Peers
Comparison fields: 5 of 132
- Genetics 1.1k
- Molecular Biology 991
- Statistics and Probability 73
- Cancer Research 99
- Computational Mathematics 4
Countries citing papers authored by Can Yang
This map shows the geographic impact of Can Yang'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 Can Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Yang more than expected).
Fields of papers citing papers by Can Yang
This network shows the impact of papers produced by Can Yang. 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 Can Yang. The network helps show where Can Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Yang, 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 | 2010 | 399 | |
| 2 | 2019 | 187 | |
| 3 | 2008 | 168 | |
| 4 | 2009 | 131 | |
| 5 | 2011 | 122 | |
| 6 | 2020 | 98 | |
| 7 | 2023 | 95 | |
| 8 | 2009 | 80 | |
| 9 | 2022 | 72 | |
| 10 | 2021 | 69 | |
| 11 | Foundation models in bioinformatics Hit paper breakdown → | 2025 | 45 |
| 12 | 2020 | 41 | |
| 13 | 2023 | 38 | |
| 14 | 2011 | 36 | |
| 15 | 2010 | 34 | |
| 16 | 2022 | 31 | |
| 17 | 2018 | 30 | |
| 18 | 2019 | 27 | |
| 19 | 2024 | 26 | |
| 20 | 2022 | 24 |
About Can Yang
Can Yang is a scholar working on Genetics, Molecular Biology, Biophysics, Statistics and Probability and Cancer Research, having authored 85 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (36 papers), Single-cell and spatial transcriptomics (12 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetic and phenotypic traits in livestock (7 papers), Gene expression and cancer classification (6 papers), Cell Image Analysis Techniques (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Genetics (1.1k citations), Molecular Biology (991 citations), Statistics and Probability (73 citations), Cancer Research (99 citations) and Computational Mathematics (4 citations). Can Yang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Xiang Wan, Weichuan Yu, Qiang Yang, Hong Xue, Nelson L.S. Tang, Jin Liu, Xiaodan Fan, Xianghong Hu, Jia Kui Zhao and Jingsi Ming. Their work appears in journals such as Bioinformatics, Nature Communications, BMC Bioinformatics, The American Journal of Human Genetics and Journal of Computational and Graphical Statistics.
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.