Arif Canakoglu
Impact in
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
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- Genomics and Phylogenetic Studies 16
- Gene expression and cancer classification 15
- Biomedical Text Mining and Ontologies 7
- Bioinformatics and Genomic Networks 5
- vaccines and immunoinformatics approaches 4
- Machine Learning in Bioinformatics 2
- Co-authors
- Stefano Ceri (20 shared papers)Marco Masseroli (15 shared papers)Anna Bernasconi (14 shared papers)Pietro Pinoli (15 shared papers)Luca Nanni (5 shared papers)Mark Carman (1 shared paper)Alessandro Campi (1 shared paper)Anna Sandionigi (1 shared paper)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)Briefings in Bioinformatics (3 papers)Database (3 papers)BMC Bioinformatics (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- ItalyGermanyNetherlands
In The Last Decade
Arif Canakoglu
27 papers receiving 270 citations
Peers
Comparison fields: 5 of 59
- Infectious Diseases 59
- Information Systems and Management 20
- Molecular Biology 188
- Modeling and Simulation 7
- Cancer Research 22
Countries citing papers authored by Arif Canakoglu
This map shows the geographic impact of Arif Canakoglu'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 Arif Canakoglu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arif Canakoglu more than expected).
Fields of papers citing papers by Arif Canakoglu
This network shows the impact of papers produced by Arif Canakoglu. 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 Arif Canakoglu. The network helps show where Arif Canakoglu may publish in the future.
Co-authors
The 25 scholars most cited alongside Arif Canakoglu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 35 | |
| 2 | 2020 | 30 | |
| 3 | 2019 | 27 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2015 | 12 | |
| 11 | 2021 | 9 | |
| 12 | 2013 | 9 | |
| 13 | 2013 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2018 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2015 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2020 | 3 |
About Arif Canakoglu
Arif Canakoglu is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Genetics and Infectious Diseases, having authored 29 papers that have together received 274 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Gene expression and cancer classification (15 papers), Biomedical Text Mining and Ontologies (7 papers), Cancer Genomics and Diagnostics (5 papers), Bioinformatics and Genomic Networks (5 papers), vaccines and immunoinformatics approaches (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Infectious Diseases (59 citations), Information Systems and Management (20 citations), Molecular Biology (188 citations), Modeling and Simulation (7 citations) and Cancer Research (22 citations). Arif Canakoglu has collaborated with scholars based in Italy, Germany and Netherlands. Frequent co-authors include Stefano Ceri, Marco Masseroli, Anna Bernasconi, Pietro Pinoli, Luca Nanni, Mark Carman, Alessandro Campi, Anna Sandionigi, Franca Garzotto and Fabio Cumbo. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Briefings in Bioinformatics, Database, BMC Bioinformatics and Nucleic Acids Research.
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.