Mikhail Fursov
Impact in
- Endocrinology top 5%
- Ecology top 5%
- Bacteriophages and microbial interactions
- Microbial Community Ecology and Physiology
Papers in
-
- Genomics and Phylogenetic Studies 4
- Genetics, Bioinformatics, and Biomedical Research 1
- Gene expression and cancer classification 1
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- Scientific Computing and Data Management 2
- Co-authors
- Konstantin Okonechnikov (1 shared paper)Darrell E. Hurt (1 shared paper)Vijayaraj Nagarajan (1 shared paper)Andrew J. Oler (1 shared paper)Yentram Huyen (1 shared paper)Mariam Quiñones (1 shared paper)Andrei Gabrielian (1 shared paper)Alexei V. Tiunov (1 shared paper)
- Journals
- Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (1 paper)PeerJ (1 paper)Bioinformatics (1 paper)Russian Journal of Genetics Applied Research (1 paper)
- Partner nations
- RussiaUnited StatesSerbia
In The Last Decade
Mikhail Fursov
4 papers receiving 2.1k citations
Mikhail Fursov's Hit Papers
Peers
Comparison fields: 5 of 126
- Endocrinology 105
- Ecology 425
- Infectious Diseases 290
- Molecular Biology 1.0k
- Molecular Medicine 73
Countries citing papers authored by Mikhail Fursov
This map shows the geographic impact of Mikhail Fursov'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 Mikhail Fursov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Fursov more than expected).
Fields of papers citing papers by Mikhail Fursov
This network shows the impact of papers produced by Mikhail Fursov. 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 Mikhail Fursov. The network helps show where Mikhail Fursov may publish in the future.
Co-authors
The 17 scholars most cited alongside Mikhail Fursov, 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 | Unipro UGENE: a unified bioinformatics toolkit Hit paper breakdown → | 2012 | 2051 |
| 2 | 2014 | 71 | |
| 3 | 2014 | 8 | |
| 4 | 2015 | 6 | |
| 5 | Application of GPGPU for Acceleration of Short DNA Sequence Alignment in Unipro UGENE Project | 2011 | 0 |
About Mikhail Fursov
Mikhail Fursov is a scholar working on Molecular Biology, Information Systems and Management, Computer Networks and Communications, Ecology and Artificial Intelligence, having authored 5 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Scientific Computing and Data Management (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Advanced Data Storage Technologies (1 paper), Genetic Associations and Epidemiology (1 paper), Genomics and Rare Diseases (1 paper), Microbial Community Ecology and Physiology (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Endocrinology (105 citations), Ecology (425 citations), Infectious Diseases (290 citations), Molecular Biology (1.0k citations) and Molecular Medicine (73 citations). Mikhail Fursov has collaborated with scholars based in Russia, United States and Serbia. Frequent co-authors include Konstantin Okonechnikov, Darrell E. Hurt, Vijayaraj Nagarajan, Andrew J. Oler, Yentram Huyen, Mariam Quiñones, Andrei Gabrielian, Alexei V. Tiunov, В. А. Иванисенко and Konstantin Gunbin. Their work appears in journals such as Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, PeerJ, Bioinformatics and Russian Journal of Genetics Applied 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.