Alexander Shlemov

1.5k total citations · 1 hit paper
10 papers, 812 citations indexed

About

Alexander Shlemov is a scholar working on Molecular Biology, Applied Mathematics and Pharmacology. According to data from OpenAlex, Alexander Shlemov has authored 10 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Applied Mathematics and 3 papers in Pharmacology. Recurrent topics in Alexander Shlemov's work include Statistical and numerical algorithms (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Genomics and Phylogenetic Studies (3 papers). Alexander Shlemov is often cited by papers focused on Statistical and numerical algorithms (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Genomics and Phylogenetic Studies (3 papers). Alexander Shlemov collaborates with scholars based in Russia, United States and Canada. Alexander Shlemov's co-authors include Anton Korobeynikov, Pavel A. Pevzner, Nina Golyandina, Alexey Gurevich, Hosein Mohimani, Alla Mikheenko, Pieter C. Dorrestein, Liu Cao, Louis‐Félix Nothias and Maxim Scheremetjew and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Alexander Shlemov

10 papers receiving 805 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.

MGnify: the microbiome analysis resource in 2020

2019 362 citations Alex Mitchell, Alexandre Almeida et al. Nucleic Acids Research profile →

Peers

Alexander Shlemov

MB

PHARM

ECOLO

AM

PS

Thomas Hackl Germany

Xuezhi Li China

Liviu Popescu Romania

Areejit Samal India

Tuo Li China

Lijuan Wang China

Jan Schellenberger United States

Jiajia Yu China

Lun Zhang China

Ivan Protsyuk United States

Thomas Hackl Germany

Alexander Shlemov

309 ×0.5

MB

28 ×0.2

PHARM

36 ×0.3

ECOLO

32 ×0.6

AM

96 ×1.7

PS

Citations per year, relative to Alexander Shlemov Alexander Shlemov (= 1×) peers Thomas Hackl

Countries citing papers authored by Alexander Shlemov

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Shlemov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Shlemov. 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 Alexander Shlemov. The network helps show where Alexander Shlemov may publish in the future.

Co-authorship network of co-authors of Alexander Shlemov

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

All Works

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10 of 10 papers shown

1.

Golyandina, Nina, et al.. (2023). Intelligent Identification of Trend Components in Singular Spectrum Analysis. Algorithms. 16(7). 353–353. 6 indexed citations

2.

Mitchell, Alex, Alexandre Almeida, Martín Beracochea, et al.. (2019). MGnify: the microbiome analysis resource in 2020. Nucleic Acids Research. 48(D1). D570–D578. 362 indexed citations breakdown →

3.

Tagirdzhanov, Azat, Alexander Shlemov, & Alexey Gurevich. (2019). NPS: scoring and evaluating the statistical significance of peptidic natural product–spectrum matches. Bioinformatics. 35(14). i315–i323. 4 indexed citations

4.

Mohimani, Hosein, Alexey Gurevich, Alexander Shlemov, et al.. (2018). Dereplication of microbial metabolites through database search of mass spectra. Nature Communications. 9(1). 4035–4035. 233 indexed citations

5.

Gurevich, Alexey, Alla Mikheenko, Alexander Shlemov, et al.. (2018). Increased diversity of peptidic natural products revealed by modification-tolerant database search of mass spectra. Nature Microbiology. 3(3). 319–327. 77 indexed citations

6.

Shlemov, Alexander, et al.. (2017). Reconstructing Antibody Repertoires from Error-Prone Immunosequencing Reads. The Journal of Immunology. 199(9). 3369–3380. 24 indexed citations

7.

Golyandina, Nina & Alexander Shlemov. (2016). Variations of Singular Spectrum Analysis for separability improvement: non-orthogonal decompositions of time series. 41 indexed citations

8.

Golyandina, Nina, Anton Korobeynikov, Alexander Shlemov, & Konstantin Usevich. (2015). Multivariate and 2D Extensions of Singular Spectrum Analysis with theRssaPackage. Journal of Statistical Software. 67(2). 58 indexed citations

9.

Shlemov, Alexander, Nina Golyandina, David M. Holloway, & Alexander V. Spirov. (2015). Shaped Singular Spectrum Analysis for Quantifying Gene Expression, with Application to the EarlyDrosophilaEmbryo. BioMed Research International. 2015. 1–14. 3 indexed citations

10.

Shlemov, Alexander, Nina Golyandina, David M. Holloway, & Alexander V. Spirov. (2015). Shaped 3D Singular Spectrum Analysis for Quantifying Gene Expression, with Application to the Early Zebrafish Embryo. BioMed Research International. 2015. 1–18. 4 indexed citations

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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