Mikhail Fursov

3.3k total citations · 1 hit paper
5 papers, 2.1k citations indexed

About

Mikhail Fursov is a scholar working on Molecular Biology, Information Systems and Management and Computer Networks and Communications. According to data from OpenAlex, Mikhail Fursov has authored 5 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Information Systems and Management and 1 paper in Computer Networks and Communications. Recurrent topics in Mikhail Fursov's work include Genomics and Phylogenetic Studies (4 papers), Scientific Computing and Data Management (2 papers) and Advanced Data Storage Technologies (1 paper). Mikhail Fursov is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Scientific Computing and Data Management (2 papers) and Advanced Data Storage Technologies (1 paper). Mikhail Fursov collaborates with scholars based in Russia, United States and Serbia. Mikhail Fursov's co-authors include Konstantin Okonechnikov, Andrew J. Oler, Vijayaraj Nagarajan, Mariam Quiñones, Andrei Gabrielian, Darrell E. Hurt, Yentram Huyen, Alexei V. Tiunov, Н. А. Колчанов and В. А. Иванисенко and has published in prestigious journals such as Bioinformatics, PeerJ and Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics.

In The Last Decade

Mikhail Fursov

4 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unipro UGENE: a unified bioinformatics toolkit

2012 2.1k citations Konstantin Okonechnikov, Mikhail Fursov et al. Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mikhail Fursov Russia	4	1.0k	496	425	315	290	5	2.1k
Aleksandr Morgulis United States	6	1.3k 1.3×	547 1.1×	450 1.1×	388 1.2×	168 0.6×	8	2.3k
Mathias C. Walter Germany	14	1.2k 1.2×	434 0.9×	512 1.2×	209 0.7×	179 0.6×	37	2.1k
Wouter De Coster Belgium	11	1.5k 1.5×	525 1.1×	549 1.3×	390 1.2×	203 0.7×	18	2.5k
Darrin T. Schultz United States	11	1.3k 1.3×	442 0.9×	560 1.3×	233 0.7×	182 0.6×	21	2.2k
Isheng Jason Tsai Taiwan	26	1.2k 1.2×	731 1.5×	535 1.3×	255 0.8×	136 0.5×	67	2.2k
Svenn D’Hert Belgium	4	1.2k 1.1×	407 0.8×	460 1.1×	236 0.7×	183 0.6×	4	1.9k
Ikuo Uchiyama Japan	31	1.7k 1.7×	529 1.1×	659 1.6×	408 1.3×	201 0.7×	69	2.9k
Gordon Stephen United Kingdom	10	790 0.8×	673 1.4×	243 0.6×	357 1.1×	138 0.5×	11	1.6k
Carole Dossat France	23	1.3k 1.3×	749 1.5×	571 1.3×	441 1.4×	261 0.9×	31	2.6k
Derek Butler Netherlands	8	1.1k 1.1×	534 1.1×	409 1.0×	242 0.8×	97 0.3×	10	1.8k

Countries citing papers authored by Mikhail Fursov

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mikhail Fursov

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Fursov. A scholar is included among the top collaborators of Mikhail Fursov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikhail Fursov. Mikhail Fursov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Tiunov, Alexei V., et al.. (2015). Shared Bioinformatics Databases within the Unipro UGENE Platform. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 12(1). 24–34. 6 indexed citations

2.

Gabrielian, Andrei, Vijayaraj Nagarajan, Andrew J. Oler, et al.. (2014). Unipro UGENE NGS pipelines and components for variant calling, RNA-seq and ChIP-seq data analyses. PeerJ. 2. e644–e644. 71 indexed citations

3.

Афонников, Д. А., L. O. Bryzgalov, В. А. Иванисенко, et al.. (2014). Program complex SNP-MED for analysis of single-nucleotide polymorphism (SNP) effects on the function of genes associated with socially significant diseases. Russian Journal of Genetics Applied Research. 4(3). 159–167. 8 indexed citations

4.

Okonechnikov, Konstantin, et al.. (2012). Unipro UGENE: a unified bioinformatics toolkit. Bioinformatics. 28(8). 1166–1167. 2051 indexed citations breakdown →

5.

Fursov, Mikhail, et al.. (2011). Application of GPGPU for Acceleration of Short DNA Sequence Alignment in Unipro UGENE Project.

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.

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