Paul Medvedev

8.7k total citations · 1 hit paper
75 papers, 2.3k citations indexed

About

Paul Medvedev is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence. According to data from OpenAlex, Paul Medvedev has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 21 papers in Plant Science and 20 papers in Artificial Intelligence. Recurrent topics in Paul Medvedev's work include Genomics and Phylogenetic Studies (41 papers), Algorithms and Data Compression (19 papers) and Chromosomal and Genetic Variations (19 papers). Paul Medvedev is often cited by papers focused on Genomics and Phylogenetic Studies (41 papers), Algorithms and Data Compression (19 papers) and Chromosomal and Genetic Variations (19 papers). Paul Medvedev collaborates with scholars based in United States, France and Canada. Paul Medvedev's co-authors include Rayan Chikhi, Michael Brudno, Monica Stanciu, Kristoffer Sahlin, Kateryna D. Makova, Marta Tomaszkiewicz, Antoine Limasset, Robert S. Harris, Pavel A. Pevzner and Chen Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Paul Medvedev

68 papers receiving 2.2k citations

Hit Papers

Informed and automated k-mer size selection for genome as... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Medvedev United States 22 1.6k 787 574 311 249 75 2.3k
Rayan Chikhi France 26 1.8k 1.1× 414 0.5× 661 1.2× 364 1.2× 471 1.9× 63 2.5k
Rasko Leinonen United Kingdom 9 2.4k 1.5× 501 0.6× 475 0.8× 227 0.7× 325 1.3× 11 3.3k
Éric Rivals France 23 1.8k 1.1× 362 0.5× 531 0.9× 394 1.3× 232 0.9× 78 2.3k
Erik Garrison United States 21 1.5k 0.9× 865 1.1× 773 1.3× 169 0.5× 129 0.5× 39 2.2k
Hideo Matsuda Japan 22 1.6k 1.0× 483 0.6× 258 0.4× 150 0.5× 550 2.2× 139 2.8k
Philippe Rigault Canada 22 1.5k 0.9× 544 0.7× 698 1.2× 285 0.9× 63 0.3× 30 2.6k
Takashi Gojobori Japan 30 2.5k 1.6× 1.0k 1.3× 481 0.8× 129 0.4× 479 1.9× 67 3.8k
Johannes Köster Germany 17 1.6k 1.0× 309 0.4× 368 0.6× 75 0.2× 264 1.1× 44 2.5k
Christian Iseli Switzerland 30 2.1k 1.3× 550 0.7× 589 1.0× 42 0.1× 175 0.7× 60 3.1k

Countries citing papers authored by Paul Medvedev

Since Specialization
Citations

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

Fields of papers citing papers by Paul Medvedev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Medvedev

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Medvedev. A scholar is included among the top collaborators of Paul Medvedev 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 Paul Medvedev. Paul Medvedev 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
1.
Tomaszkiewicz, Marta, Kristoffer Sahlin, Paul Medvedev, & Kateryna D. Makova. (2023). Transcript Isoform Diversity of Ampliconic Genes on the Y Chromosome of Great Apes. Genome Biology and Evolution. 15(11). 3 indexed citations
2.
Sahlin, Kristoffer, et al.. (2023). Efficient mapping of accurate long reads in minimizer space with mapquik. Genome Research. 33(7). 1188–1197. 8 indexed citations
3.
Dufresne, Yoann, Pierre Marijon, Pierre Peterlongo, et al.. (2022). The K-mer File Format: a standardized and compact disk representation of sets ofk-mers. Bioinformatics. 38(18). 4423–4425. 5 indexed citations
4.
Medvedev, Paul, et al.. (2022). kmtricks: efficient and flexible construction of Bloom filters for large sequencing data collections. Bioinformatics Advances. 2(1). vbac029–vbac029. 14 indexed citations
5.
Harris, Robert S., et al.. (2022). The Statistics of k -mers from a Sequence Undergoing a Simple Mutation Process Without Spurious Matches. Journal of Computational Biology. 29(2). 155–168. 18 indexed citations
6.
Akbulut, Gulsum Gudukbay, et al.. (2022). GPU-accelerated and pipelined methylation calling. Bioinformatics Advances. 2(1). vbac088–vbac088. 1 indexed citations
7.
Yang, Lei, Raunaq Malhotra, Rayan Chikhi, et al.. (2021). Recombination Marks the Evolutionary Dynamics of a Recently Endogenized Retrovirus. Molecular Biology and Evolution. 38(12). 5423–5436. 5 indexed citations
8.
Medvedev, Paul & Mihai Pop. (2021). What do Eulerian and Hamiltonian cycles have to do with genome assembly?. PLoS Computational Biology. 17(5). e1008928–e1008928. 3 indexed citations
9.
Medvedev, Paul, et al.. (2020). Scalable multiple whole-genome alignment and locally collinear block construction with SibeliaZ. Nature Communications. 11(1). 6327–6327. 41 indexed citations
10.
Marchet, Camille, Christina Boucher, Simon J. Puglisi, et al.. (2020). Data structures based on k -mers for querying large collections of sequencing data sets. Genome Research. 31(1). 1–12. 50 indexed citations
11.
Medvedev, Paul, et al.. (2020). Scalable Pairwise Whole-Genome Homology Mapping of Long Genomes with BubbZ. iScience. 23(6). 101224–101224. 8 indexed citations
12.
Čechová, Monika, Rahulsimham Vegesna, Marta Tomaszkiewicz, et al.. (2020). Dynamic evolution of great ape Y chromosomes. Proceedings of the National Academy of Sciences. 117(42). 26273–26280. 25 indexed citations
13.
Harris, Robert S. & Paul Medvedev. (2019). Improved representation of sequence bloom trees. Bioinformatics. 36(3). 721–727. 25 indexed citations
14.
Tomaszkiewicz, Marta, et al.. (2019). DiscoverY: a classifier for identifying Y chromosome sequences in male assemblies. BMC Genomics. 20(1). 641–641. 14 indexed citations
15.
Vegesna, Rahulsimham, Marta Tomaszkiewicz, Paul Medvedev, & Kateryna D. Makova. (2019). Dosage regulation, and variation in gene expression and copy number of human Y chromosome ampliconic genes. PLoS Genetics. 15(9). e1008369–e1008369. 21 indexed citations
16.
Sun, Chen & Paul Medvedev. (2018). Toward fast and accurate SNP genotyping from whole genome sequencing data for bedside diagnostics. Bioinformatics. 35(3). 415–420. 17 indexed citations
17.
Harris, Robert S., Monika Čechová, Marta Tomaszkiewicz, et al.. (2017). RecoverY: k -mer-based read classification for Y-chromosome-specific sequencing and assembly. Bioinformatics. 34(7). 1125–1131. 18 indexed citations
18.
Sun, Chen & Paul Medvedev. (2016). VarMatch: robust matching of small variant datasets using flexible scoring schemes. Bioinformatics. 33(9). 1301–1308. 9 indexed citations
19.
Chikhi, Rayan, Antoine Limasset, Shaun D. Jackman, Jared T. Simpson, & Paul Medvedev. (2015). On the Representation of De Bruijn Graphs. Journal of Computational Biology. 22(5). 336–352. 36 indexed citations
20.
Medvedev, Paul, Son Pham, Mark Chaisson, Glenn Tesler, & Pavel A. Pevzner. (2011). Paired de Bruijn Graphs: A Novel Approach for Incorporating Mate Pair Information into Genome Assemblers. Journal of Computational Biology. 18(11). 1625–1634. 37 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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