Petr Šimeček

2.5k citations
29 papers · 1.4k indexed · 1 hit paper · h-index 16
Topics
Genetic Mapping and Diversity in Plants and Animals (9 papers)Genetic and phenotypic traits in livestock (6 papers)CRISPR and Genetic Engineering (5 papers)

In The Last Decade

Petr Šimeček

28 papers receiving 1.4k citations

Hit Papers

R/qtl2: Software for Mapping Quantitative Trait Loci with...2018202620202023201850100150200

Peers

Petr Šimeček
Comparison fields: 5 of 124
  • Genetics 655
  • Molecular Biology 627
  • Plant Science 244
  • Small Animals 122
  • Developmental Biology 94
Replace Sophie I. Candille with:
Sophie I. Candille United States
John W. Fondon United States
Fred G. Biddle Canada
Fernando Pardo-Manuel de Villena United States
Robert B. Norgren United States
Thomas M. Houslay United Kingdom
Phillip D. Beremand United States
Xiaohui Xie China
Jessica Severin Japan
Anna J. Jasinska United States
Petr Šimeček relative to Sophie I. Candille United States Sophie I. Candille's profile →
Citations per field
00.5×6.7×
Sophie I. Candille · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 19
4 6
5 15
6 21
7
R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populationsbreakdown →
242
8 7
9 244
10 19
11 61
12 148
13 81
14 59
15 48
16 11
17 2
18 8
19 5
20 4

About Petr Šimeček

Petr Šimeček is a scholar working on Developmental Biology, Small Animals and Genetics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this 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). The work is most often cited by research in Developmental Biology (94 citations), Genetics (655 citations) and Aging (35 citations). Petr Šimeček has collaborated with scholars based in Czechia, United States and Japan. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

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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