Ivan Kuzmin

9.0k total citations · 3 hit papers
9 papers, 4.1k citations indexed

About

Ivan Kuzmin is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Ivan Kuzmin has authored 9 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Infectious Diseases and 1 paper in Virology. Recurrent topics in Ivan Kuzmin's work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and CRISPR and Genetic Engineering (2 papers). Ivan Kuzmin is often cited by papers focused on Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (3 papers) and CRISPR and Genetic Engineering (2 papers). Ivan Kuzmin collaborates with scholars based in Estonia, United Kingdom and United States. Ivan Kuzmin's co-authors include Liis Kolberg, Hedi Peterson, Uku Raudvere, Jaak Vilo, Priit Adler, T. V. Arak, Nurlan Kerimov, Manoj Pandian Sakthivel, Stephen J. Trevanion and Helen Parkinson and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Ivan Kuzmin

9 papers receiving 4.0k citations

Hit Papers

g:Profiler: a web server for functional enrichment analys... 2019 2026 2021 2023 2019 2023 2021 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Kuzmin Estonia 6 2.4k 714 532 486 379 9 4.1k
Uku Raudvere Estonia 4 2.2k 0.9× 639 0.9× 515 1.0× 461 0.9× 378 1.0× 4 3.9k
Dustin Ebert United States 6 2.9k 1.2× 660 0.9× 541 1.0× 455 0.9× 564 1.5× 8 4.7k
Liis Kolberg Estonia 7 2.8k 1.2× 858 1.2× 664 1.2× 621 1.3× 435 1.1× 9 4.9k
Oriol Fornés Canada 17 2.9k 1.3× 540 0.8× 656 1.2× 389 0.8× 392 1.0× 34 3.8k
Eran Eden Israel 13 3.6k 1.5× 684 1.0× 522 1.0× 439 0.9× 231 0.6× 25 4.9k
David J. Arenillas Canada 15 3.7k 1.6× 623 0.9× 734 1.4× 449 0.9× 434 1.1× 28 4.6k
Anders Lade Nielsen Denmark 31 3.1k 1.3× 801 1.1× 349 0.7× 567 1.2× 372 1.0× 116 4.3k
Steffen Durinck United States 18 3.2k 1.4× 914 1.3× 990 1.9× 590 1.2× 323 0.9× 32 5.0k
Adam Ameur Sweden 32 2.4k 1.0× 738 1.0× 485 0.9× 234 0.5× 264 0.7× 96 3.7k
Marc Carlson United States 17 3.1k 1.3× 742 1.0× 701 1.3× 843 1.7× 422 1.1× 22 4.9k

Countries citing papers authored by Ivan Kuzmin

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Kuzmin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Kuzmin

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

All Works

9 of 9 papers shown
1.
Girling, Gareth, Luca Crepaldi, Ivan Kuzmin, et al.. (2024). The interplay of DNA repair context with target sequence predictably biases Cas9-generated mutations. Nature Communications. 15(1). 10271–10271. 3 indexed citations
2.
Koeppel, Jonas, Juliane Weller, Ivan Kuzmin, et al.. (2023). Prediction of prime editing insertion efficiencies using sequence features and DNA repair determinants. Nature Biotechnology. 41(10). 1446–1456. 51 indexed citations
3.
Kolberg, Liis, Uku Raudvere, Ivan Kuzmin, et al.. (2023). g:Profiler—interoperable web service for functional enrichment analysis and gene identifier mapping (2023 update). Nucleic Acids Research. 51(W1). W207–W212. 557 indexed citations breakdown →
5.
Kerimov, Nurlan, James Hayhurst, Jonathan Manning, et al.. (2021). A compendium of uniformly processed human gene expression and splicing quantitative trait loci. Nature Genetics. 53(9). 1290–1299. 165 indexed citations breakdown →
6.
Fishman, Dmytro, Ivan Kuzmin, Priit Adler, Jaak Vilo, & Hedi Peterson. (2020). PAWER: protein array web exploreR. BMC Bioinformatics. 21(1). 411–411. 3 indexed citations
7.
Raudvere, Uku, Liis Kolberg, Ivan Kuzmin, et al.. (2019). g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update). Nucleic Acids Research. 47(W1). W191–W198. 3248 indexed citations breakdown →
8.
Kolberg, Liis, Ivan Kuzmin, Priit Adler, Jaak Vilo, & Hedi Peterson. (2018). funcExplorer: a tool for fast data-driven functional characterisation of high-throughput expression data. BMC Genomics. 19(1). 817–817. 2 indexed citations
9.
Franka, Richard, William Carson, James A. Ellison, et al.. (2017). In Vivo Efficacy of a Cocktail of Human Monoclonal Antibodies (CL184) Against Diverse North American Bat Rabies Virus Variants. Tropical Medicine and Infectious Disease. 2(3). 48–48. 21 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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