Ivo Frébort

4.3k total citations
108 papers, 3.3k citations indexed

About

Ivo Frébort is a scholar working on Molecular Biology, Biochemistry and Plant Science. According to data from OpenAlex, Ivo Frébort has authored 108 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 28 papers in Biochemistry and 28 papers in Plant Science. Recurrent topics in Ivo Frébort's work include Microbial metabolism and enzyme function (37 papers), Polyamine Metabolism and Applications (16 papers) and Amino Acid Enzymes and Metabolism (14 papers). Ivo Frébort is often cited by papers focused on Microbial metabolism and enzyme function (37 papers), Polyamine Metabolism and Applications (16 papers) and Amino Acid Enzymes and Metabolism (14 papers). Ivo Frébort collaborates with scholars based in Czechia, Japan and Germany. Ivo Frébort's co-authors include Petr Galuszka, Jitka Frébortová, Pavel Peč, Marek Šebela, Tomáš Hluska, Marta Kowalska, Hana Pospíšilová, Osao Adachi, Ondřej Novák and Kazunobu Matsushita and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Ivo Frébort

108 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivo Frébort Czechia 30 2.1k 1.9k 301 260 201 108 3.3k
D. Steven Hill United States 15 2.1k 1.0× 1.4k 0.7× 144 0.5× 267 1.0× 270 1.3× 18 4.0k
Javier Pozueta‐Romero Spain 35 1.9k 0.9× 2.8k 1.5× 196 0.7× 307 1.2× 424 2.1× 111 4.3k
Vincent Arondel France 25 1.9k 0.9× 1.4k 0.8× 1.2k 4.0× 188 0.7× 112 0.6× 41 2.9k
Hana Sychrová Czechia 32 2.8k 1.4× 1.6k 0.9× 108 0.4× 535 2.1× 160 0.8× 156 3.7k
Robert A. LaRossa United States 36 3.6k 1.8× 491 0.3× 138 0.5× 644 2.5× 143 0.7× 61 5.0k
José Ruíz-Herrera Mexico 34 2.3k 1.1× 1.8k 1.0× 243 0.8× 348 1.3× 351 1.7× 151 3.8k
Ya. B. Blume Ukraine 26 1.3k 0.6× 1.6k 0.8× 107 0.4× 231 0.9× 182 0.9× 319 2.7k
Alberto Á. Iglesias Argentina 33 2.5k 1.2× 1.4k 0.7× 354 1.2× 184 0.7× 681 3.4× 169 4.0k
Woo Sik Chung South Korea 47 3.4k 1.7× 5.0k 2.6× 81 0.3× 111 0.4× 159 0.8× 115 6.0k

Countries citing papers authored by Ivo Frébort

Since Specialization
Citations

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

Fields of papers citing papers by Ivo Frébort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivo Frébort

This figure shows the co-authorship network connecting the top 25 collaborators of Ivo Frébort. A scholar is included among the top collaborators of Ivo Frébort 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 Ivo Frébort. Ivo Frébort 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
1.
Frébortová, Jitka, et al.. (2022). Recent advances in molecular farming using monocot plants. Biotechnology Advances. 58. 107913–107913. 19 indexed citations
2.
Bergougnoux, Véronique, et al.. (2020). CRISPR/Cas9 genome editing in ergot fungus Claviceps purpurea. Journal of Biotechnology. 325. 341–354. 25 indexed citations
3.
Hájek, Miroslav, et al.. (2020). Current state and future directions of bioeconomy in the Czech Republic. New Biotechnology. 61. 1–8. 21 indexed citations
4.
Mik, Václav, et al.. (2017). Activity of (+)-Discadenine as a Plant Cytokinin. Journal of Natural Products. 80(7). 2136–2140. 11 indexed citations
5.
Frébort, Ivo, et al.. (2015). Improving field production of ergot alkaloids by application of gametocide on rye host plants. New Biotechnology. 32(6). 739–746. 5 indexed citations
6.
Saichana, Natsaran, Kazunobu Matsushita, Osao Adachi, Ivo Frébort, & Jitka Frébortová. (2014). Acetic acid bacteria: A group of bacteria with versatile biotechnological applications. Biotechnology Advances. 33(6). 1260–1271. 136 indexed citations
7.
Mrízová, Katarína, Eva Jiskrová, Ondřej Novák, et al.. (2013). Overexpression of Cytokinin Dehydrogenase Genes in Barley (Hordeum vulgare cv. Golden Promise) Fundamentally Affects Morphology and Fertility. PLoS ONE. 8(11). e79029–e79029. 46 indexed citations
8.
Mrízová, Katarína, et al.. (2013). Transgenic barley: A prospective tool for biotechnology and agriculture. Biotechnology Advances. 32(1). 137–157. 33 indexed citations
9.
Zalabák, David, Hana Pospíšilová, Mária Šmehilová, et al.. (2011). Genetic engineering of cytokinin metabolism: Prospective way to improve agricultural traits of crop plants. Biotechnology Advances. 31(1). 97–117. 76 indexed citations
10.
Kopečný, David, Pierre Briozzo, Hana Popelková, et al.. (2010). Phenyl- and benzylurea cytokinins as competitive inhibitors of cytokinin oxidase/dehydrogenase: A structural study. Biochimie. 92(8). 1052–1062. 53 indexed citations
11.
Petr, Jan, Václav Ranc, Joanna Znaleziona, et al.. (2009). Assessment of CE for the identification of microorganisms. Electrophoresis. 30(3). 444–449. 10 indexed citations
12.
Petr, Jan, et al.. (2008). Analysis of Microorganisms by Capillary Electrophoresis. Chemické listy. 102(12). 37 indexed citations
13.
Galuszka, Petr, et al.. (2007). Functional expression of amine oxidase from Aspergillus niger (AO-I) in Saccharomyces cerevisiae. Molecular Biology Reports. 36(1). 13–20. 2 indexed citations
14.
Pospíšilová, Hana & Ivo Frébort. (2007). AMINOHYDROLASES ACTING ON ADENINE, ADENOSINE AND THEIR DERIVATIVES. Biomedical Papers. 151(1). 3–10. 14 indexed citations
15.
Frébortová, Jitka, et al.. (2006). Cytokinins and plant phenolics: a cooperative metabolism.. 379–384. 1 indexed citations
16.
Galuszka, Petr, Jitka Frébortová, Lenka Luhová, et al.. (2005). Tissue Localization of Cytokinin Dehydrogenase in Maize: Possible Involvement of Quinone Species Generated from Plant Phenolics by Other Enzymatic Systems in the Catalytic Reaction. Plant and Cell Physiology. 46(5). 716–728. 46 indexed citations
17.
Frébort, Ivo, Marek Šebela, Shun Hirota, et al.. (2003). Gene Organization and Molecular Modeling of Copper Amine Oxidase from Aspergillus niger: Re-Evaluation of the Cofactor Structure. Biological Chemistry. 384(10-11). 1451–61. 4 indexed citations
18.
Niculescu, Mihaela, C. E. Nistor, Tautgirdas Ruzgas, et al.. (2001). Detection of histamine and other biogenic amines using biosensors based on amine oxidase. Inflammation Research. 50(S2). 146–148. 3 indexed citations
19.
Šebela, Marek, et al.. (2001). FAD-containing polyamine oxidases: a timely challenge for researchers in biochemistry and physiology of plants. Plant Science. 160(2). 197–207. 104 indexed citations
20.
Luhová, Lenka, et al.. (1998). Screening of the occurrence of copper amine oxidases in Fabaceae plants. Biologia Plantarum. 41(2). 241–254. 7 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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