Igor Rodchenkov
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Biomedical Text Mining and Ontologies
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 7
- Biomedical Text Mining and Ontologies 4
- Machine Learning in Bioinformatics 3
- Microbial Metabolic Engineering and Bioproduction 3
- Protein Structure and Dynamics 2
- Gene expression and cancer classification 2
- Genomics and Phylogenetic Studies 2
-
- Computational Drug Discovery Methods 2
- Co-authors
- Chris Sander (4 shared papers)Emek Demir (4 shared papers)Özgün Babur (3 shared papers)Gary D. Bader (3 shared papers)Nikolaus Schultz (1 shared paper)Ethan Cerami (1 shared paper)Nadia Anwar (1 shared paper)V. G. Tumanyan (2 shared papers)
- Journals
- Bioinformatics (3 papers)Protein Engineering Design and Selection (2 papers)Nucleic Acids Research (2 papers)PROTEOMICS (1 paper)Oncogene (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Igor Rodchenkov
10 papers receiving 1.1k citations
Igor Rodchenkov's Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 959
- Computational Theory and Mathematics 176
- Cancer Research 131
- Genetics 136
- Biophysics 19
Countries citing papers authored by Igor Rodchenkov
This map shows the geographic impact of Igor Rodchenkov'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 Igor Rodchenkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Rodchenkov more than expected).
Fields of papers citing papers by Igor Rodchenkov
This network shows the impact of papers produced by Igor Rodchenkov. 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 Igor Rodchenkov. The network helps show where Igor Rodchenkov may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Rodchenkov, 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 | Pathway Commons, a web resource for biological pathway data Hit paper breakdown → | 2010 | 764 |
| 2 | 1999 | 169 | |
| 3 | 2009 | 58 | |
| 4 | 2013 | 50 | |
| 5 | 2013 | 37 | |
| 6 | 2010 | 21 | |
| 7 | 2013 | 17 | |
| 8 | 2008 | 10 | |
| 9 | 1997 | 4 | |
| 10 | 2013 | 4 |
About Igor Rodchenkov
Igor Rodchenkov is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Artificial Intelligence and Spectroscopy, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Biomedical Text Mining and Ontologies (4 papers), Machine Learning in Bioinformatics (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Computational Drug Discovery Methods (2 papers), Protein Structure and Dynamics (2 papers), Gene expression and cancer classification (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (959 citations), Computational Theory and Mathematics (176 citations), Cancer Research (131 citations), Genetics (136 citations) and Biophysics (19 citations). Igor Rodchenkov has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Chris Sander, Emek Demir, Özgün Babur, Gary D. Bader, Nikolaus Schultz, Ethan Cerami, Nadia Anwar, V. G. Tumanyan, Shamil Sunyaev and Birgit Eisenhaber. Their work appears in journals such as Bioinformatics, Protein Engineering Design and Selection, Nucleic Acids Research, PROTEOMICS and Oncogene.
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.