Marek Šebela

5.0k total citations · 1 hit paper
145 papers, 3.9k citations indexed

About

Marek Šebela is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Marek Šebela has authored 145 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 39 papers in Plant Science and 32 papers in Biochemistry. Recurrent topics in Marek Šebela's work include Polyamine Metabolism and Applications (31 papers), Microbial metabolism and enzyme function (30 papers) and Amino Acid Enzymes and Metabolism (20 papers). Marek Šebela is often cited by papers focused on Polyamine Metabolism and Applications (31 papers), Microbial metabolism and enzyme function (30 papers) and Amino Acid Enzymes and Metabolism (20 papers). Marek Šebela collaborates with scholars based in Czechia, France and United States. Marek Šebela's co-authors include Ivo Frébort, Pavel Peč, Jan Havliš, Andrej Shevchenko, Henrik Thomas, Petr Galuszka, Radek Zbořil, David Kopečný, Filip Dyčka and Renata Večeřová and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Marek Šebela

140 papers receiving 3.9k citations

Hit Papers

Bacterial resistance to silver nanoparticles and how to o... 2017 2026 2020 2023 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marek Šebela Czechia 29 2.0k 1.2k 701 531 265 145 3.9k
Alexei Savchenko Canada 55 5.4k 2.6× 910 0.7× 1.2k 1.6× 573 1.1× 160 0.6× 215 8.2k
Masahiro Takagi Japan 45 4.5k 2.2× 1.1k 0.9× 901 1.3× 998 1.9× 185 0.7× 227 6.7k
Frédéric Barras France 52 4.2k 2.0× 1.6k 1.3× 803 1.1× 802 1.5× 93 0.4× 134 8.4k
Nikolaos E. Labrou Greece 38 3.5k 1.7× 1.0k 0.8× 259 0.4× 336 0.6× 112 0.4× 207 5.0k
Arvind M. Kayastha India 34 2.0k 1.0× 647 0.5× 509 0.7× 570 1.1× 74 0.3× 151 3.4k
Oliver Spadiut Austria 35 2.9k 1.4× 766 0.6× 235 0.3× 837 1.6× 84 0.3× 190 4.2k
Tzu‐Ping Ko Taiwan 46 4.4k 2.2× 702 0.6× 971 1.4× 676 1.3× 88 0.3× 217 7.3k
Michael Lalk Germany 42 2.8k 1.4× 597 0.5× 336 0.5× 379 0.7× 170 0.6× 181 5.3k
Andreas Schäfer Germany 29 2.4k 1.2× 954 0.8× 689 1.0× 822 1.5× 222 0.8× 80 5.1k
Juha Rouvinen Finland 42 3.0k 1.5× 1.3k 1.0× 741 1.1× 1.9k 3.5× 109 0.4× 137 5.7k

Countries citing papers authored by Marek Šebela

Since Specialization
Citations

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

Fields of papers citing papers by Marek Šebela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marek Šebela

This figure shows the co-authorship network connecting the top 25 collaborators of Marek Šebela. A scholar is included among the top collaborators of Marek Šebela 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 Marek Šebela. Marek Šebela 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
3.
Pykal, Martin, David Řeha, Juraj Filo, et al.. (2025). Thermodynamics and kinetics of early stages of carbon dot formation: a case of citric acid and ethylenediamine reaction. Nanoscale. 17(13). 7780–7789. 4 indexed citations
4.
Soural, Miroslav, et al.. (2024). N-carboxyacyl and N-α-aminoacyl derivatives of aminoaldehydes as shared substrates of plant aldehyde dehydrogenases 10 and 7. Amino Acids. 56(1). 52–52. 1 indexed citations
5.
Golovina, Elena A., Juraj Kokavec, Filipp Savvulidi, et al.. (2024). Deficiency of miR-155 in Leukemic B-Cells Results in Cell Cycle Arrest and Deregulation of MIR155HG/TP53INP1/CDKN1A/CCND1 network. Archives of Medical Research. 56(3). 103124–103124. 3 indexed citations
6.
7.
Trávnı́ček, Zdeněk, Tomáš Malina, Ján Vančo, Marek Šebela, & Zdeněk Dvořák. (2023). Heteroleptic Copper(II) Complexes Containing 2′-Hydroxy-4-(Dimethylamino)Chalcone Show Strong Antiproliferative Activity. Pharmaceutics. 15(2). 307–307. 3 indexed citations
8.
Vyhlídalová, Barbora, Kristýna Krasulová, Radim Vrzal, et al.. (2023). Monoterpenoid aryl hydrocarbon receptor allosteric antagonists protect against ultraviolet skin damage in female mice. Nature Communications. 14(1). 2728–2728. 28 indexed citations
9.
Šebela, Marek, et al.. (2022). Novel heterocyclic hydroxamates as inhibitors of the mycobacterial zinc metalloprotease Zmp1 to probe its mechanism of function. European Journal of Medicinal Chemistry. 244. 114831–114831. 7 indexed citations
10.
Adamec, Lubomı́r, et al.. (2021). Contrasting effect of prey capture on jasmonate accumulation in two genera of aquatic carnivorous plants (Aldrovanda, Utricularia). Plant Physiology and Biochemistry. 166. 459–465. 12 indexed citations
11.
Šebela, Marek, et al.. (2019). Novel thiazolidinedione-hydroxamates as inhibitors of Mycobacterium tuberculosis virulence factor Zmp1. European Journal of Medicinal Chemistry. 185. 111812–111812. 20 indexed citations
12.
Strnad, Miroslav, et al.. (2019). High‐proline proteins in experimental hazy white wine produced from partially botrytized grapes. Biotechnology and Applied Biochemistry. 66(3). 398–411. 7 indexed citations
13.
Magro, Massimiliano, Davide Baratella, Giovanni Miotto, et al.. (2019). Enzyme self-assembly on naked iron oxide nanoparticles for aminoaldehyde biosensing. Amino Acids. 51(4). 679–690. 9 indexed citations
14.
Korasick, David A., Radka Končitíková, Martina Kopečná, et al.. (2018). Structural and Biochemical Characterization of Aldehyde Dehydrogenase 12, the Last Enzyme of Proline Catabolism in Plants. Journal of Molecular Biology. 431(3). 576–592. 20 indexed citations
15.
Panáček, Aleš, Libor Kvı́tek, Monika Smékalová, et al.. (2017). Bacterial resistance to silver nanoparticles and how to overcome it. Nature Nanotechnology. 13(1). 65–71. 773 indexed citations breakdown →
16.
Kouřil, Roman, Lukáš Nosek, René Lenobel, et al.. (2013). Structural characterization of a plant photosystem I and NAD(P)H dehydrogenase supercomplex. The Plant Journal. 77(4). 568–576. 73 indexed citations
17.
Franc, Vojtěch, Marek Šebela, Pavel Řehulka, et al.. (2012). Analysis of N-glycosylation in maize cytokinin oxidase/dehydrogenase 1 using a manual microgradient chromatographic separation coupled offline to MALDI-TOF/TOF mass spectrometry. Journal of Proteomics. 75(13). 4027–4037. 14 indexed citations
18.
Šebela, Marek, et al.. (2008). Evaluation of the possible proteomic application of trypsin from Streptomyces griseus. Analytical Biochemistry. 376(1). 94–102. 20 indexed citations
19.
Šebela, Marek, et al.. (2004). Thermostable β‐cyclodextrin conjugates of two similar plant amine oxidases and their properties. Biotechnology and Applied Biochemistry. 41(1). 77–84. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026