Arif Canakoglu

1.8k total citations
29 papers, 274 citations indexed

About

Arif Canakoglu is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Arif Canakoglu has authored 29 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Artificial Intelligence and 5 papers in Cancer Research. Recurrent topics in Arif Canakoglu's work include Genomics and Phylogenetic Studies (16 papers), Gene expression and cancer classification (15 papers) and Biomedical Text Mining and Ontologies (7 papers). Arif Canakoglu is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), Gene expression and cancer classification (15 papers) and Biomedical Text Mining and Ontologies (7 papers). Arif Canakoglu collaborates with scholars based in Italy, Germany and Netherlands. Arif Canakoglu's co-authors include Stefano Ceri, Marco Masseroli, Anna Bernasconi, Pietro Pinoli, Luca Nanni, Mark Carman, Alessandro Campi, Anna Sandionigi, Emanuel Weitschek and Franca Garzotto and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Arif Canakoglu

27 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arif Canakoglu Italy 10 188 59 46 31 26 29 274
Anna Bernasconi Italy 10 183 1.0× 101 1.7× 42 0.9× 40 1.3× 34 1.3× 46 328
Alain Malpertuy France 10 303 1.6× 28 0.5× 44 1.0× 38 1.2× 30 1.2× 10 404
Hiroshi Yamaguchi Japan 11 126 0.7× 32 0.5× 42 0.9× 10 0.3× 60 2.3× 42 338
Peter Woollard United Kingdom 10 177 0.9× 91 1.5× 48 1.0× 5 0.2× 30 1.2× 11 302
Pushkala Jayaraman United States 10 154 0.8× 11 0.2× 56 1.2× 14 0.5× 47 1.8× 22 322
Subu Subramanian United States 5 394 2.1× 29 0.5× 48 1.0× 45 1.5× 40 1.5× 8 542
Mark Igra United States 6 383 2.0× 11 0.2× 11 0.2× 18 0.6× 31 1.2× 8 511
Maria Chatzou Spain 5 189 1.0× 12 0.2× 34 0.7× 9 0.3× 35 1.3× 7 262
Luca Pireddu Italy 10 250 1.3× 10 0.2× 76 1.7× 15 0.5× 25 1.0× 28 387

Countries citing papers authored by Arif Canakoglu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Arif Canakoglu

This figure shows the co-authorship network connecting the top 25 collaborators of Arif Canakoglu. A scholar is included among the top collaborators of Arif Canakoglu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arif Canakoglu. Arif Canakoglu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Canakoglu, Arif, Rahul Nath, Markos Kashiouris, et al.. (2025). Elucidating the causal relationship of mechanical power and lung injury: a dynamic approach to ventilator management. Intensive Care Medicine Experimental. 13(1). 28–28. 1 indexed citations
2.
Pinoli, Pietro, et al.. (2023). VariantHunter: a method and tool for fast detection of emerging SARS-CoV-2 variants. Database. 2023. 2 indexed citations
3.
Florio, Gaetano, Alberto Zanella, Amedeo Guzzardella, et al.. (2023). Impact of Positive End-Expiratory Pressure and FiO2 on Lung Mechanics and Intrapulmonary Shunt in Mechanically Ventilated Patients with ARDS Due to COVID-19 Pneumonia. Journal of Intensive Care Medicine. 39(5). 420–428. 2 indexed citations
4.
Bernasconi, Anna, et al.. (2022). Genomic data integration and user-defined sample-set extraction for population variant analysis. BMC Bioinformatics. 23(1). 401–401. 1 indexed citations
5.
6.
Bernasconi, Anna, et al.. (2021). VirusViz: comparative analysis and effective visualization of viral nucleotide and amino acid variants. Nucleic Acids Research. 49(15). e90–e90. 15 indexed citations
7.
Canakoglu, Arif, et al.. (2020). ViruSurf: an integrated database to investigate viral sequences. Nucleic Acids Research. 49(D1). D817–D824. 30 indexed citations
8.
Bernasconi, Anna, Arif Canakoglu, Marco Masseroli, Pietro Pinoli, & Stefano Ceri. (2020). A review on viral data sources and search systems for perspective mitigation of COVID-19. Briefings in Bioinformatics. 22(2). 664–675. 21 indexed citations
9.
Bernasconi, Anna, Arif Canakoglu, Marco Masseroli, Pietro Pinoli, & Stefano Ceri. (2020). A Review on Viral Data Sources and Integration Methods for COVID-19 Mitigation. Preprints.org. 3 indexed citations
10.
Bernasconi, Anna, Arif Canakoglu, Marco Masseroli, & Stefano Ceri. (2020). META-BASE: A Novel Architecture for Large-Scale Genomic Metadata Integration. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 543–557. 16 indexed citations
11.
Bernasconi, Anna, Arif Canakoglu, Marco Masseroli, & Stefano Ceri. (2020). The road towards data integration in human genomics: players, steps and interactions. Briefings in Bioinformatics. 22(1). 30–44. 16 indexed citations
12.
Nanni, Luca, Pietro Pinoli, Arif Canakoglu, & Stefano Ceri. (2019). PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets. BMC Bioinformatics. 20(1). 560–560. 13 indexed citations
13.
Canakoglu, Arif, et al.. (2019). GenoSurf: metadata driven semantic search system for integrated genomic datasets. Database. 2019. 27 indexed citations
14.
Canakoglu, Arif, et al.. (2019). Analysis and Visualization of Mutation Enrichments for Selected Genomic Regions and Cancer Types. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 652–655.
15.
Bernasconi, Anna, Arif Canakoglu, Andrea Colombo, & Stefano Ceri. (2018). Ontology-Driven Metadata Enrichment for Genomic Datasets. Figshare. 2275. 1–10. 5 indexed citations
16.
Canakoglu, Arif, et al.. (2018). Implementing a Transcription Factor Interaction Prediction System Using the GenoMetric Query Language. Methods in molecular biology. 1807. 63–81. 1 indexed citations
17.
Masseroli, Marco, Arif Canakoglu, Pietro Pinoli, et al.. (2018). Processing of big heterogeneous genomic datasets for tertiary analysis of Next Generation Sequencing data. Bioinformatics. 35(5). 729–736. 35 indexed citations
18.
Nanni, Luca, Pietro Pinoli, Arif Canakoglu, & Stefano Ceri. (2018). Exploring Genomic Datasets. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 1 indexed citations
19.
20.
Canakoglu, Arif, et al.. (2013). Integrative warehousing of biomolecular information to support complex multi-topic queries for biomedical knowledge discovery. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 7. 1–4. 9 indexed citations

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.

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