Mikhail Fursov
Impact in
- Endocrinology top 5%
- Infectious Diseases top 5%
Papers in
-
- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 1
- Co-authors
- Konstantin Okonechnikov (1 shared paper)Andrei Gabrielian (1 shared paper)Vijayaraj Nagarajan (1 shared paper)Andrew J. Oler (1 shared paper)Yentram Huyen (1 shared paper)Darrell E. Hurt (1 shared paper)Mariam Quiñones (1 shared paper)Alexei V. Tiunov (1 shared paper)
- Journals
- Bioinformatics (1 paper)Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (1 paper)PeerJ (1 paper)Russian Journal of Genetics Applied Research (1 paper)Kluwer Academic Publishers eBooks (1 paper)
- Partner nations
- RussiaNetherlandsSerbia
In The Last Decade
Mikhail Fursov
4 papers receiving 2.2k citations
Mikhail Fursov's Hit Papers
Peers
Comparison fields: 5 of 126
- Endocrinology 101
- Infectious Diseases 279
- Ecology 424
- Molecular Medicine 72
- Molecular Biology 988
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 19 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 | 2147 |
| 2 | 2014 | 79 | |
| 3 | 2014 | 8 | |
| 4 | 2015 | 6 | |
| 5 | 2006 | 1 | |
| 6 | 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, Computer Networks and Communications, Ecology, Information Systems and Management and Artificial Intelligence, having authored 6 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Scientific Computing and Data Management (1 paper), Genomics and Rare Diseases (1 paper), Gene expression and cancer classification (1 paper), Nutrition, Genetics, and Disease (1 paper), Chromosomal and Genetic Variations (1 paper), Plant Disease Resistance and Genetics (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Endocrinology (101 citations), Infectious Diseases (279 citations), Ecology (424 citations), Molecular Medicine (72 citations) and Molecular Biology (988 citations). Mikhail Fursov has collaborated with scholars based in Russia, Netherlands and Serbia. Frequent co-authors include Konstantin Okonechnikov, Andrei Gabrielian, Vijayaraj Nagarajan, Andrew J. Oler, Yentram Huyen, Darrell E. Hurt, Mariam Quiñones, Alexei V. Tiunov, Konstantin Gunbin and П. С. Деменков. Their work appears in journals such as Bioinformatics, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, PeerJ, Russian Journal of Genetics Applied Research and Kluwer Academic Publishers eBooks.
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.