Carlos Cano
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Biomedical Text Mining and Ontologies
- Machine Learning in Bioinformatics
Papers in
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- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 4
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- Quantum Computing Algorithms and Architecture 2
- Advanced Graph Neural Networks 2
- Co-authors
- Armando Blanco (17 shared papers)Víctor Martínez (3 shared papers)Carmen Navarro (3 shared papers)Waldo Fajardo (1 shared paper)Marta Cuadros (9 shared papers)Francisco J. López (7 shared papers)P. Palma (4 shared papers)Ángel Concha (4 shared papers)
- Journals
- PLoS ONE (4 papers)BMC Bioinformatics (3 papers)Journal of Personalized Medicine (1 paper)Clinical Epigenetics (1 paper)Quantum Machine Intelligence (1 paper)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Carlos Cano
34 papers receiving 536 citations
Peers
Comparison fields: 5 of 85
- Computational Theory and Mathematics 160
- Molecular Biology 299
- Cancer Research 48
- Oncology 86
- Artificial Intelligence 76
Countries citing papers authored by Carlos Cano
This map shows the geographic impact of Carlos Cano'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 Carlos Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Cano more than expected).
Fields of papers citing papers by Carlos Cano
This network shows the impact of papers produced by Carlos Cano. 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 Carlos Cano. The network helps show where Carlos Cano may publish in the future.
Co-authors
The 25 scholars most cited alongside Carlos Cano, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 161 | |
| 2 | 2015 | 43 | |
| 3 | 2014 | 35 | |
| 4 | 2014 | 30 | |
| 5 | 2007 | 28 | |
| 6 | 2012 | 25 | |
| 7 | 2011 | 24 | |
| 8 | 2008 | 23 | |
| 9 | 2013 | 20 | |
| 10 | 2009 | 18 | |
| 11 | 2023 | 14 | |
| 12 | 2009 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2013 | 10 | |
| 15 | 2012 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2007 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2008 | 8 |
About Carlos Cano
Carlos Cano is a scholar working on Molecular Biology, Artificial Intelligence, Oncology, Surgery and Cancer Research, having authored 36 papers that have together received 553 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (4 papers), Colorectal Cancer Surgical Treatments (4 papers), Colorectal Cancer Screening and Detection (3 papers), Data Mining Algorithms and Applications (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Advanced Graph Neural Networks (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (160 citations), Molecular Biology (299 citations), Cancer Research (48 citations), Oncology (86 citations) and Artificial Intelligence (76 citations). Carlos Cano has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Armando Blanco, Víctor Martínez, Carmen Navarro, Waldo Fajardo, Marta Cuadros, Francisco J. López, P. Palma, Ángel Concha, Fernando García and Dennis P. Wall. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, Journal of Personalized Medicine, Clinical Epigenetics and Quantum Machine Intelligence.
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.