Milan Čertí­k

3.1k total citations
122 papers, 2.3k citations indexed

About

Milan Čertí­k is a scholar working on Molecular Biology, Biochemistry and Nutrition and Dietetics. According to data from OpenAlex, Milan Čertí­k has authored 122 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 27 papers in Biochemistry and 24 papers in Nutrition and Dietetics. Recurrent topics in Milan Čertí­k's work include Microbial Metabolic Engineering and Bioproduction (46 papers), Lipid metabolism and biosynthesis (24 papers) and Enzyme Catalysis and Immobilization (22 papers). Milan Čertí­k is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (46 papers), Lipid metabolism and biosynthesis (24 papers) and Enzyme Catalysis and Immobilization (22 papers). Milan Čertí­k collaborates with scholars based in Slovakia, Czechia and France. Milan Čertí­k's co-authors include Sakayu Shimizu, Tatiana Klempová, J. Šajbidor, Peter Gajdoš, Slavomí­r Marcinčák, Jean‐Marc Nicaud, Vlasta Brezová, Raj Kumar Salar, Tristan Rossignol and Emília Breierová and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Bioresource Technology.

In The Last Decade

Milan Čertí­k

120 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Čertí­k Slovakia 25 1.3k 465 329 327 295 122 2.3k
Gu Chen China 29 1.2k 0.9× 715 1.5× 184 0.6× 448 1.4× 447 1.5× 67 2.9k
Anna M. Kot Poland 23 971 0.7× 331 0.7× 427 1.3× 450 1.4× 265 0.9× 55 2.2k
Enrique Martínez‐Force Spain 30 1.2k 0.9× 325 0.7× 386 1.2× 503 1.5× 1.2k 4.1× 143 2.9k
Luis M. Rodríguez‐Alcalá Portugal 27 644 0.5× 120 0.3× 773 2.3× 641 2.0× 248 0.8× 81 2.0k
Vida Šimat Croatia 32 732 0.6× 145 0.3× 207 0.6× 627 1.9× 320 1.1× 80 2.3k
Wenjing Sun China 27 1.0k 0.8× 181 0.4× 335 1.0× 775 2.4× 743 2.5× 104 2.3k
Rafael Garcés Spain 30 1.2k 0.9× 411 0.9× 391 1.2× 498 1.5× 1.5k 5.1× 142 3.3k
Jean‐Marc Belin France 28 1.4k 1.1× 453 1.0× 183 0.6× 527 1.6× 172 0.6× 80 2.0k
Fabio Favati Italy 28 638 0.5× 349 0.8× 386 1.2× 955 2.9× 581 2.0× 63 2.3k
Gloria Dávila-Ortíz Mexico 28 1.3k 1.0× 274 0.6× 560 1.7× 1.3k 3.9× 884 3.0× 98 3.0k

Countries citing papers authored by Milan Čertí­k

Since Specialization
Citations

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

Fields of papers citing papers by Milan Čertí­k

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Čertí­k

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Čertí­k. A scholar is included among the top collaborators of Milan Čertí­k 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 Milan Čertí­k. Milan Čertí­k 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.
Klempová, Tatiana, et al.. (2025). Evaluation of stability and quality of bioproducts derived from solid‐state fermentation of wheat bran using Mortierella alpina. Journal of Food Science. 90(4). e70188–e70188. 1 indexed citations
2.
Čertí­k, Milan, et al.. (2024). Fermented Products Enriched with Polyunsaturated Fatty Acids in Broiler Chicken Nutrition and Fat Quality of Produced Meat. Applied Sciences. 14(10). 4327–4327. 2 indexed citations
3.
4.
Pospiech, Matěj, et al.. (2023). Effects of Biofermented Feed on Zophobas morio: Growth Ability, Fatty Acid Profile, and Bioactive Properties. Sustainability. 15(12). 9709–9709. 3 indexed citations
5.
Park, Young Kyoung, Milan Čertí­k, Ioana Grigoras, et al.. (2023). Yarrowia lipolytica as a Platform for Punicic Acid Production. International Journal of Molecular Sciences. 24(10). 8823–8823. 9 indexed citations
6.
7.
Karaffová, Viera, Dagmar Mudroňová, Boris Semjon, et al.. (2022). Immune Response and Fatty Acid Profile of Eggs from Laying Hens Fed Fermented Feed Rich in Polyunsaturated Fatty Acids. Fermentation. 8(3). 98–98. 2 indexed citations
8.
Klempová, Tatiana, et al.. (2021). Animal Fat as a Substrate for Production of n-6 Fatty Acids by Fungal Solid-State Fermentation. Microorganisms. 9(1). 170–170. 12 indexed citations
9.
Popelka, Peter, et al.. (2021). Influence of smoking and packaging methods on physicochemical and microbiological quality of smoked mackerel (Scomber scombrus). Acta Veterinaria Brno. 90(1). 117–124. 7 indexed citations
10.
11.
Marcinčák, Slavomí­r, Tatiana Klempová, Dana Marcinčáková, et al.. (2018). Effect of Fungal Solid-State Fermented Product in Broiler Chicken Nutrition on Quality and Safety of Produced Breast Meat. BioMed Research International. 2018. 1–8. 24 indexed citations
12.
Márová, Ivana, et al.. (2017). Utilization of animal fat waste as carbon source by carotenogenic yeasts – a screening study. The EuroBiotech Journal. 1(4). 310–318. 12 indexed citations
13.
Gazdag, Zoltán, et al.. (2014). tert‐Butyl hydroperoxide‐induced differing plasma membrane and oxidative stress processes in yeast strains BY4741 and erg5Δ. Journal of Basic Microbiology. 54(S1). S50–62. 13 indexed citations
14.
Marcinčák, Slavomí­r, Milan Čertí­k, Peter Popelka, et al.. (2014). Effect of adding prefermented cereal product containing gamma-linolenic acid to broiler feed on production indicators and fatty acid profile of chicken breast. Acta Veterinaria Brno. 83(4). 379–384. 14 indexed citations
15.
Čertí­k, Milan, et al.. (2013). Biotechnology for the functional improvement of cereal‐based materials enriched with PUFA and pigments. European Journal of Lipid Science and Technology. 115(11). 1247–1256. 21 indexed citations
16.
Čertí­k, Milan, et al.. (2012). Endophytic Fungi: Are they Potential Candidates for the Production of Polyunsaturated Fatty Acids?. ePrints@Bangalore University (Bangalore University). 3 indexed citations
17.
Marcinčáková, Dana, Milan Čertí­k, Slavomí­r Marcinčák, et al.. (2011). Effect of dietary supplementation of Melissa officinalis and combination of Achillea millefolium and Crataegus oxyacantha on broiler growth performance, fatty acid composition and lipid oxidation of chicken meat. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Vaško, Ladislav, et al.. (2008). Influence of Linseed and Fish Oil on Metabolic and Immunological Indicators of Laying Hens. Acta Veterinaria Brno. 77(1). 39–44. 9 indexed citations
19.
Fakas, Stylianos, Milan Čertí­k, Séraphim Papanikolaou, et al.. (2007). γ-Linolenic acid production by Cunninghamella echinulata growing on complex organic nitrogen sources. Bioresource Technology. 99(13). 5986–5990. 68 indexed citations
20.
Pillai, M G Dr.Krishna, Milan Čertí­k, Toro Nakahara, & Yasushi Kamisaka. (1998). Characterization of triacylglycerol biosynthesis in subcellular fractions of an oleaginous fungus, Mortierella ramanniana var. angulispora. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1393(1). 128–136. 20 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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