Max A. Alekseyev

30.8k total citations · 2 hit papers
35 papers, 19.9k citations indexed

About

Max A. Alekseyev is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Max A. Alekseyev has authored 35 papers receiving a total of 19.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 22 papers in Genetics and 19 papers in Plant Science. Recurrent topics in Max A. Alekseyev's work include Genomics and Phylogenetic Studies (25 papers), Genome Rearrangement Algorithms (21 papers) and Chromosomal and Genetic Variations (19 papers). Max A. Alekseyev is often cited by papers focused on Genomics and Phylogenetic Studies (25 papers), Genome Rearrangement Algorithms (21 papers) and Chromosomal and Genetic Variations (19 papers). Max A. Alekseyev collaborates with scholars based in United States, Russia and Switzerland. Max A. Alekseyev's co-authors include Pavel A. Pevzner, Sergey Nikolenko, Glenn Tesler, Dmitry Antipov, Alexander Sirotkin, Alexey Gurevich, Sergey Nurk, Andrey D. Prjibelski, Anton Bankevich and Son Pham and has published in prestigious journals such as Bioinformatics, PLoS ONE and Genome Research.

In The Last Decade

Max A. Alekseyev

32 papers receiving 19.7k citations

Hit Papers

SPAdes: A New Genome Assembly Algorithm and Its Applicati... 2012 2026 2016 2021 2012 2013 5.0k 10.0k 15.0k

Peers

Max A. Alekseyev
Comparison fields: 5 of 166
  • Molecular Biology 10.6k
  • Ecology 5.7k
  • Plant Science 4.1k
  • Molecular Medicine 2.6k
  • Endocrinology 2.5k
Replace Alexander Sirotkin with:
Alexander Sirotkin Russia
Anton Bankevich United States
Son Pham United States
Alexander S. Kulikov Russia
Sergey Nurk United States
Andrey D. Prjibelski Russia
Dmitry Antipov Russia
Nikolay Vyahhi Russia
Alexey Gurevich Russia
Adam M. Phillippy United States
Alexander Sirotkin Russia View profile →
Citations per field, relative to Max A. Alekseyev
Max A. Alekseyev · 1×
Citations per year, relative to Max A. Alekseyev
Max A. Alekseyev · 1×

Countries citing papers authored by Max A. Alekseyev

Since Specialization
Citations

This map shows the geographic impact of Max A. Alekseyev'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 A. Alekseyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max A. Alekseyev more than expected).

Fields of papers citing papers by Max A. Alekseyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max A. Alekseyev. 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 A. Alekseyev. The network helps show where Max A. Alekseyev may publish in the future.

Co-authorship network of co-authors of Max A. Alekseyev

This figure shows the co-authorship network connecting the top 25 collaborators of Max A. Alekseyev. A scholar is included among the top collaborators of Max A. Alekseyev 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 Max A. Alekseyev. Max A. Alekseyev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 2
3 14
4 1
5 2
6 3
7 4
8 6
9 2
10 7
11 45
12 12
13
SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing breakdown →
17957
14 12
15 16
16 19
17 81
18 9
19 26
20 26

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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