Petr Šimeček

2.5k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Petr Šimeček is a scholar working on Genetics, Molecular Biology and Small Animals. According to data from OpenAlex, Petr Šimeček has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 13 papers in Molecular Biology and 5 papers in Small Animals. Recurrent topics in Petr Šimeček's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Genetic and phenotypic traits in livestock (6 papers) and CRISPR and Genetic Engineering (5 papers). Petr Šimeček is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Genetic and phenotypic traits in livestock (6 papers) and CRISPR and Genetic Engineering (5 papers). Petr Šimeček collaborates with scholars based in Czechia, United States and Japan. Petr Šimeček's co-authors include Gary A. Churchill, Daniel M. Gatti, Karl W. Broman, Jiřı́ Forejt, Marek Špinka, Karen L. Svenson, Soňa Gregorová, Brian S. Yandell, Tanmoy Bhattacharyya and Pjotr Prins and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Petr Šimeček

28 papers receiving 1.4k 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.

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

2018 242 citations Karl W. Broman, Daniel M. Gatti et al. Genetics profile →

Peers

Countries citing papers authored by Petr Šimeček

Since Specialization

Citations

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

Fields of papers citing papers by Petr Šimeček

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Šimeček

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Balancing speed and precision in protein folding: a comparison of AlphaFold2, ESMFold, and OmegaFold 2026 ·Frontiers in Genetics ·(unknown), (unknown), Petr Šimeček	0
2	Knot or not? Identifying unknotted proteins in knotted families with sequence‐based Machine Learning model 2024 ·Protein Science ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Paweł Rubach, Petr Šimeček, Joanna I. Sułkowska	5
3	Genomic benchmarks: a collection of datasets for genomic sequence classification 2023 ·BMC Genomic Data ·(unknown), (unknown), (unknown), Petr Šimeček, Panagiotis Alexiou	19
4	Genic and chromosomal components of Prdm9-driven hybrid male sterility in mice (Mus musculus) 2022 ·Genetics ·(unknown), Soňa Gregorová, (unknown), Petr Šimeček, Petr Jansa, Jiřı́ Forejt	6
5	High-throughput sleep phenotyping produces robust and heritable traits in Diversity Outbred mice and their founder strains 2020 ·SLEEP ·Brendan T Keenan, Raymond J. Galante, Jie Lian, Petr Šimeček, Daniel M. Gatti, Lin Zhang, Diane C Lim, Karen L. Svenson, Gary A. Churchill, Allan I Pack	15
6	PENGUINN: Precise Exploration of Nuclear G-Quadruplexes Using Interpretable Neural Networks 2020 ·Frontiers in Genetics ·(unknown), (unknown), Petr Šimeček, Panagiotis Alexiou	21
7	R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations breakdown → 2018 ·Genetics ·Karl W. Broman, Daniel M. Gatti, Petr Šimeček, Nicholas A. Furlotte, Pjotr Prins, Śaunak Sen, Brian S. Yandell, Gary A. Churchill	242
8	High-Resolution Maps of Mouse Reference Populations 2017 ·G3 Genes Genomes Genetics ·Petr Šimeček, Jiřı́ Forejt, Robert W. Williams, Toshihiko Shiroishi, Toyoyuki Takada, Lu Lu, Thomas E. Johnson, Beth Bennett, Christian F. Deschepper, Marie‐Pier Scott‐Boyer, Fernando Pardo‐Manuel de Villena, Gary A. Churchill	7
9	Defining the consequences of genetic variation on a proteome-wide scale 2016 ·Nature ·Joel M. Chick, Steven C. Munger, Petr Šimeček, Edward L. Huttlin, Kwangbom Choi, Daniel M. Gatti, Narayanan Raghupathy, Karen L. Svenson, Gary A. Churchill, Steven P. Gygi	244
10	Genetic Analysis of Substrain Divergence in Non-Obese Diabetic (NOD) Mice 2015 ·G3 Genes Genomes Genetics ·Petr Šimeček, Gary A. Churchill, Hyuna Yang, Lucy B. Rowe, L. Herberg, David Serreze, Edward H. Leiter	19
11	X Chromosome Control of Meiotic Chromosome Synapsis in Mouse Inter-Subspecific Hybrids 2014 ·PLoS Genetics ·Tanmoy Bhattacharyya, Radka Reifová, Soňa Gregorová, Petr Šimeček, Václav Gergelits, Martin Mistrík, (unknown), Jaroslav Piálek, Jiřı́ Forejt	61
12	Quantitative Trait Locus Mapping Methods for Diversity Outbred Mice 2014 ·G3 Genes Genomes Genetics ·Daniel M. Gatti, Karen L. Svenson, Andrey A. Shabalin, (unknown), William Valdar, Petr Šimeček, Neal Goodwin, Riyan Cheng, Daniel Pomp, Abraham A. Palmer, Elissa J. Chesler, Karl W. Broman, Gary A. Churchill	148
13	Encoding of Situations in the Vocal Repertoire of Piglets (Sus scrofa): A Comparison of Discrete and Graded Classifications 2013 ·PLoS ONE ·Céline Tallet, Pavel Linhart, Richard Policht, Kurt Hammerschmidt, Petr Šimeček, (unknown), Marek Špinka	81
14	Interallelic and Intergenic Incompatibilities of the Prdm9 (Hst1) Gene in Mouse Hybrid Sterility 2012 ·PLoS Genetics ·(unknown), Ondřej Mihola, Petr Šimeček, Soňa Gregorová, John C. Schimenti, Yasuhisa Matsui, Frédéric Baudat, Bernard de Massy, Jaroslav Piálek, Jiřı́ Forejt, Zdeněk Trachtulec	59
15	DISSECTING THE GENETIC ARCHITECTURE OF F₁HYBRID STERILITY IN HOUSE MICE 2012 ·Evolution ·(unknown), Petr Šimeček, Soňa Gregorová, Tanmoy Bhattacharyya, Jiřı́ Forejt	48
16	Modification of Tukey's additivity test 2012 ·Journal of Statistical Planning and Inference ·Petr Šimeček, (unknown)	11
17	LITTER EFFECT IN MOUSE PHENOTYPIC STUDIES 2011 ·Petr Šimeček, (unknown), Irena Chvátalová, Jiřı́ Forejt	2
18	Milk ejection solicitations and non-nutritive nursings: an honest signaling system of need in domestic pigs? 2011 ·Behavioral Ecology and Sociobiology ·Marek Špinka, Gudrun Illmann, (unknown), Petr Šimeček, (unknown)	8
19	Tests of additivity in mixed and fixed effect two-way ANOVA models with single sub-class numbers 2009 ·Statistical Papers ·Dieter Rasch, Thomas Rusch, (unknown), Klaus D. Kubinger, Karl Moder, Petr Šimeček	5
20	A Short Note on Discrete Representability of Independence Models. 2006 ·Digital Repository (National Repository of Grey Literature) ·Petr Šimeček	4

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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