Kornel Labun

3.6k total citations · 2 hit papers
10 papers, 1.9k citations indexed

About

Kornel Labun is a scholar working on Molecular Biology, Business and International Management and Genetics. According to data from OpenAlex, Kornel Labun has authored 10 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 1 paper in Business and International Management and 1 paper in Genetics. Recurrent topics in Kornel Labun's work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers) and CRISPR and Genetic Engineering (4 papers). Kornel Labun is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers) and CRISPR and Genetic Engineering (4 papers). Kornel Labun collaborates with scholars based in Norway, United States and Poland. Kornel Labun's co-authors include Eivind Valen, Tessa G. Montague, Yamila N. Torres Cleuren, Maximilian Krause, Håkon Tjeldnes, James A. Gagnon, Summer B. Thyme, Xiaoge Guo, George M. Church and Alejandro Chavez and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome Research.

In The Last Decade

Kornel Labun

10 papers receiving 1.9k citations

Hit Papers

CHOPCHOP v3: expanding th... 2016 2026 2019 2022 2019 2016 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kornel Labun 1.6k 290 193 177 144 10 1.9k
Renjie Jiao 1.1k 0.7× 187 0.6× 171 0.9× 160 0.9× 165 1.1× 39 1.3k
Yamila N. Torres Cleuren 1.0k 0.7× 202 0.7× 121 0.6× 108 0.6× 98 0.7× 15 1.3k
Gary R. Hime 1.6k 1.0× 435 1.5× 209 1.1× 402 2.3× 170 1.2× 66 2.3k
Patricia E. Kuwabara 1.4k 0.9× 434 1.5× 158 0.8× 187 1.1× 119 0.8× 39 2.4k
Jonathan Y. Hsu 2.0k 1.3× 385 1.3× 198 1.0× 61 0.3× 93 0.6× 16 2.1k
Miguel A. Moreno-Mateos 1.6k 1.0× 260 0.9× 268 1.4× 206 1.2× 66 0.5× 22 1.8k
Mark M. Metzstein 1.9k 1.2× 252 0.9× 270 1.4× 351 2.0× 235 1.6× 24 2.5k
Maximilian Krause 971 0.6× 176 0.6× 115 0.6× 111 0.6× 96 0.7× 8 1.2k
Paul Badenhorst 1.5k 1.0× 221 0.8× 255 1.3× 90 0.5× 299 2.1× 23 1.9k
Joaquín de Navascués 1.5k 1.0× 166 0.6× 245 1.3× 244 1.4× 150 1.0× 27 2.0k

Countries citing papers authored by Kornel Labun

Since Specialization
Citations

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

Fields of papers citing papers by Kornel Labun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kornel Labun

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

All Works

10 of 10 papers shown
1.
Bizuayehu, Teshome Tilahun, et al.. (2022). Long-read single-molecule RNA structure sequencing using nanopore. Nucleic Acids Research. 50(20). e120–e120. 22 indexed citations
2.
Labun, Kornel, et al.. (2021). Deep conservation of ribosome stall sites across RNA processing genes. NAR Genomics and Bioinformatics. 3(2). lqab038–lqab038. 17 indexed citations
3.
Tjeldnes, Håkon, et al.. (2021). ORFik: a comprehensive R toolkit for the analysis of translation. BMC Bioinformatics. 22(1). 336–336. 22 indexed citations
4.
Labun, Kornel, Maximilian Krause, Yamila N. Torres Cleuren, & Eivind Valen. (2021). CRISPR Genome Editing Made Easy Through the CHOPCHOP Website. Current Protocols. 1(4). e46–e46. 29 indexed citations
5.
Labun, Kornel, Xiaoge Guo, Alejandro Chavez, et al.. (2019). Accurate analysis of genuine CRISPR editing events with ampliCan. Genome Research. 29(5). 843–847. 46 indexed citations
6.
Krause, Maximilian, et al.. (2019). tailfindr : alignment-free poly(A) length measurement for Oxford Nanopore RNA and DNA sequencing. RNA. 25(10). 1229–1241. 60 indexed citations
7.
Labun, Kornel, Tessa G. Montague, Maximilian Krause, et al.. (2019). CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing. Nucleic Acids Research. 47(W1). W171–W174. 1086 indexed citations breakdown →
8.
Krause, Maximilian, et al.. (2019). tailfindr: Alignment-free poly(A) length measurement for Oxford Nanopore RNA and DNA sequencing. Faculty of 1000 Research Ltd. 8. 1 indexed citations
9.
Labun, Kornel, Tessa G. Montague, James A. Gagnon, Summer B. Thyme, & Eivind Valen. (2016). CHOPCHOP v2: a web tool for the next generation of CRISPR genome engineering. Nucleic Acids Research. 44(W1). W272–W276. 646 indexed citations breakdown →
10.
Stokowy, Tomasz, Torunn Fiskerstrand, Rita Holdhus, et al.. (2016). RareVariantVis: new tool for visualization of causative variants in rare monogenic disorders using whole genome sequencing data. Bioinformatics. 32(19). 3018–3020. 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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