David Otasek
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Metabolomics and Mass Spectrometry Studies
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 2
- Biomedical Text Mining and Ontologies 1
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- Cell Image Analysis Techniques 3
- Co-authors
- Alexander R. Pico (1 shared paper)Jorge Bouças (1 shared paper)John H. Morris (1 shared paper)Barry Demchak (1 shared paper)Igor Jurišica (5 shared papers)Muhammad Ali (2 shared papers)Kevin R. Brown (1 shared paper)Michael J. McGuffin (1 shared paper)
- Journals
- Bioinformatics (2 papers)Biochemical and Biophysical Research Communications (1 paper)Internet Mathematics (1 paper)Genome biology (1 paper)Current Protocols (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
David Otasek
7 papers receiving 1.5k citations
David Otasek's Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 170
- Molecular Biology 740
- Biological Psychiatry 16
- Pharmacology 55
- Computational Theory and Mathematics 95
Countries citing papers authored by David Otasek
This map shows the geographic impact of David Otasek'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 David Otasek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Otasek more than expected).
Fields of papers citing papers by David Otasek
This network shows the impact of papers produced by David Otasek. 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 David Otasek. The network helps show where David Otasek may publish in the future.
Co-authors
The 24 scholars most cited alongside David Otasek, 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 | Cytoscape Automation: empowering workflow-based network analysis Hit paper breakdown → | 2019 | 1191 |
| 2 | 2009 | 181 | |
| 3 | 2009 | 55 | |
| 4 | 2021 | 20 | |
| 5 | 2014 | 19 | |
| 6 | 2013 | 13 | |
| 7 | 2011 | 9 |
About David Otasek
David Otasek is a scholar working on Molecular Biology, Biophysics, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Information Systems and Management, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Cell Image Analysis Techniques (3 papers), Gene Regulatory Network Analysis (2 papers), Scientific Computing and Data Management (1 paper), Biomedical Text Mining and Ontologies (1 paper), Computational Drug Discovery Methods (1 paper), Complex Network Analysis Techniques (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Cancer Research (170 citations), Molecular Biology (740 citations), Biological Psychiatry (16 citations), Pharmacology (55 citations) and Computational Theory and Mathematics (95 citations). David Otasek has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Alexander R. Pico, Jorge Bouças, John H. Morris, Barry Demchak, Igor Jurišica, Muhammad Ali, Kevin R. Brown, Michael J. McGuffin, Yun Niu and Max Kotlyar. Their work appears in journals such as Bioinformatics, Biochemical and Biophysical Research Communications, Internet Mathematics, Genome biology and Current Protocols.
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.