Vladimír Rotrekl

1.0k citations
45 papers · 718 indexed · h-index 17
Topics
Pluripotent Stem Cells Research (14 papers)Neuroscience and Neural Engineering (9 papers)CRISPR and Genetic Engineering (8 papers)

In The Last Decade

Vladimír Rotrekl

43 papers receiving 711 citations

Peers

Vladimír Rotrekl
Comparison fields: 5 of 88
  • Molecular Biology 421
  • Cellular and Molecular Neuroscience 141
  • Biomedical Engineering 139
  • Cardiology and Cardiovascular Medicine 123
  • Surgery 85
Replace Cristina D’Aniello with:
Cristina D’Aniello Italy
Mingtao Zhao United States
Vinoj George United Kingdom
Šárka Jelínková Czechia
Catherine Koch United States
Samuel Y. Boateng United Kingdom
Jenny H. Pan United States
Francesca Sciandra Italy
Per Harald Jonson Finland
Sandra Chuppa United States
Vladimír Rotrekl relative to Cristina D’Aniello Italy Cristina D’Aniello's profile →
Citations per field
00.5×1.5×
Cristina D’Aniello · 1×
Citations per year

Countries citing papers authored by Vladimír Rotrekl

Since Specialization
Citations

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

Fields of papers citing papers by Vladimír Rotrekl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimír Rotrekl

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimír Rotrekl. A scholar is included among the top collaborators of Vladimír Rotrekl 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 Vladimír Rotrekl. Vladimír Rotrekl 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 0
3 5
4 10
5 6
6 1
7 24
8 5
9 5
10 10
11 7
12 16
13 5
14 16
15 3
16 43
17 19
18 20
19
Rostlinné beta-glukosidasy
1
20
The role of cysteine residues in structure and enzyme activityof a maize beta-glucosidase
1

About Vladimír Rotrekl

Vladimír Rotrekl is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology, having authored 45 papers that have together received 718 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), Neuroscience and Neural Engineering (9 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (141 citations), Molecular Biology (421 citations) and Cardiology and Cardiovascular Medicine (123 citations). Vladimír Rotrekl has collaborated with scholars based in Czechia, France and United States. Frequent co-authors include Martin Pešl, Šárka Jelínková, Jan Přibyl, Petr Dvořák, Petr Skládal, Christi A. Walter, Guogang Xu, Maryanne C. Herzig, Albano C. Méli and Alain Lacampagne. Their work appears in journals such as Scientific Reports, The FASEB Journal and Journal of Cell Science.

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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