Max Kotlyar
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
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- Computational Drug Discovery Methods
Papers in
-
- Bioinformatics and Genomic Networks 23
- Microbial Metabolic Engineering and Bioproduction 6
- Gene expression and cancer classification 5
- Metabolomics and Mass Spectrometry Studies 4
- Protein Degradation and Inhibitors 3
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- Computational Drug Discovery Methods 7
- Co-authors
- Igor Jurišica (46 shared papers)Chiara Pastrello (19 shared papers)Igor Štagljar (9 shared papers)Kristen Fortney (6 shared papers)Jamie Snider (5 shared papers)Zhong Yao (5 shared papers)Punit Saraon (2 shared papers)Julia Petschnigg (4 shared papers)
- Journals
- Nucleic Acids Research (9 papers)Nature Methods (2 papers)Molecular Systems Biology (2 papers)Methods (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- CanadaSlovakiaUnited States
In The Last Decade
Max Kotlyar
47 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.1k
- Computational Theory and Mathematics 221
- Aging 24
- Cell Biology 150
- Health Informatics 12
Countries citing papers authored by Max Kotlyar
This map shows the geographic impact of Max Kotlyar'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 Max Kotlyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Kotlyar more than expected).
Fields of papers citing papers by Max Kotlyar
This network shows the impact of papers produced by Max Kotlyar. 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 Max Kotlyar. The network helps show where Max Kotlyar may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Kotlyar, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 201 | |
| 2 | 2015 | 155 | |
| 3 | 2018 | 128 | |
| 4 | 2009 | 120 | |
| 5 | 2014 | 115 | |
| 6 | 2014 | 115 | |
| 7 | 2017 | 90 | |
| 8 | 2012 | 71 | |
| 9 | 2019 | 47 | |
| 10 | 2021 | 43 | |
| 11 | 2016 | 40 | |
| 12 | 2015 | 38 | |
| 13 | 2020 | 35 | |
| 14 | 2010 | 33 | |
| 15 | 2022 | 31 | |
| 16 | 2020 | 30 | |
| 17 | 2020 | 25 | |
| 18 | 2002 | 24 | |
| 19 | 2011 | 21 | |
| 20 | 2021 | 21 |
About Max Kotlyar
Max Kotlyar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Cell Biology and Immunology, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (23 papers), Computational Drug Discovery Methods (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Gene expression and cancer classification (5 papers), Biotin and Related Studies (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Protein Degradation and Inhibitors (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Computational Theory and Mathematics (221 citations), Aging (24 citations), Cell Biology (150 citations) and Health Informatics (12 citations). Max Kotlyar has collaborated with scholars based in Canada, Slovakia and United States. Frequent co-authors include Igor Jurišica, Chiara Pastrello, Igor Štagljar, Kristen Fortney, Jamie Snider, Zhong Yao, Punit Saraon, Julia Petschnigg, Mark Abovsky and S. Lee Adamson. Their work appears in journals such as Nucleic Acids Research, Nature Methods, Molecular Systems Biology, Methods and Journal of Molecular Biology.
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.