Dalibor Šatı́nský

3.6k total citations
124 papers, 2.9k citations indexed

About

Dalibor Šatı́nský is a scholar working on Analytical Chemistry, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Dalibor Šatı́nský has authored 124 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Analytical Chemistry, 53 papers in Spectroscopy and 30 papers in Biomedical Engineering. Recurrent topics in Dalibor Šatı́nský's work include Analytical Chemistry and Chromatography (47 papers), Analytical chemistry methods development (46 papers) and Analytical Methods in Pharmaceuticals (27 papers). Dalibor Šatı́nský is often cited by papers focused on Analytical Chemistry and Chromatography (47 papers), Analytical chemistry methods development (46 papers) and Analytical Methods in Pharmaceuticals (27 papers). Dalibor Šatı́nský collaborates with scholars based in Czechia, Portugal and Spain. Dalibor Šatı́nský's co-authors include Petr Solich, Petr Chocholouš, Lucie Havlíková, R. Karlíček, Hana Sklenářová, Lucie Nováková, František Švec, Ivona Lhotská, M.C.B.S.M. Montenegro and Martina Háková and has published in prestigious journals such as Analytical Chemistry, Water Research and Food Chemistry.

In The Last Decade

Dalibor Šatı́nský

121 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dalibor Šatı́nský Czechia 31 1.5k 1.2k 740 470 388 124 2.9k
Gengliang Yang China 30 1.1k 0.7× 1.1k 1.0× 1.0k 1.4× 587 1.2× 256 0.7× 150 2.9k
Paraskevas D. Tzanavaras Greece 27 1.1k 0.7× 912 0.8× 562 0.8× 476 1.0× 258 0.7× 153 2.3k
Keyller Bastos Borges Brazil 30 1.1k 0.7× 769 0.6× 501 0.7× 458 1.0× 243 0.6× 134 2.6k
Mahboob Nemati Iran 28 1.4k 0.9× 660 0.5× 395 0.5× 464 1.0× 570 1.5× 175 2.9k
Natalia Manousi Greece 25 1.5k 1.0× 769 0.6× 405 0.5× 239 0.5× 410 1.1× 102 2.5k
Ioannis N. Papadoyannis Greece 33 1.1k 0.7× 985 0.8× 472 0.6× 564 1.2× 508 1.3× 158 3.3k
José Manuel Herrero‐Martínez Spain 35 1.6k 1.1× 1.5k 1.3× 1.7k 2.3× 939 2.0× 659 1.7× 213 4.8k
Isabel Sierra Spain 34 873 0.6× 808 0.7× 406 0.5× 560 1.2× 524 1.4× 159 3.9k
Aimin Yu China 30 1.4k 0.9× 749 0.6× 323 0.4× 544 1.2× 629 1.6× 88 2.6k
A. Espínosa-Mansilla Spain 34 1.5k 1.0× 884 0.7× 534 0.7× 439 0.9× 421 1.1× 107 3.1k

Countries citing papers authored by Dalibor Šatı́nský

Since Specialization
Citations

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

Fields of papers citing papers by Dalibor Šatı́nský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalibor Šatı́nský

This figure shows the co-authorship network connecting the top 25 collaborators of Dalibor Šatı́nský. A scholar is included among the top collaborators of Dalibor Šatı́nský 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 Dalibor Šatı́nský. Dalibor Šatı́nský 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.
Švec, František, et al.. (2024). Recent advances in application of nanofibers as extraction sorbents in environmental analysis. TrAC Trends in Analytical Chemistry. 180. 117970–117970. 5 indexed citations
2.
Lhotská, Ivona, et al.. (2024). Nanofibers prepared from synthetic polymers and biopolymers as advanced extraction materials for sample preparation prior to liquid chromatography. TrAC Trends in Analytical Chemistry. 180. 117912–117912. 6 indexed citations
3.
Lhotská, Ivona, Jakub Erben, Jiří Chvojka, et al.. (2023). Advanced nanofibrous sorbents for the extraction of pollutants from river water and protein-containing matrices. Talanta. 269. 125449–125449. 4 indexed citations
4.
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Lhotská, Ivona, Martina Háková, Jakub Erben, et al.. (2023). Stirred discs from polycaprolactone nanofibers highly doped with graphene for straightforward preconcentration of pollutants in environmental waters. Talanta. 266(Pt 1). 124975–124975. 10 indexed citations
6.
Rosendorf, Jáchym, Jakub Erben, Dalibor Šatı́nský, et al.. (2023). Large-Scale Development of Antibacterial Scaffolds: Gentamicin Sulfate-Loaded Biodegradable Nanofibers for Gastrointestinal Applications. ACS Omega. 8(43). 40823–40835. 5 indexed citations
7.
Šatı́nský, Dalibor, et al.. (2021). UHPLC coupled with charged aerosol detector for rapid separation of steviol glycosides in commercial sweeteners and extract of Stevia rebaudiana. Journal of Pharmaceutical and Biomedical Analysis. 207. 114398–114398. 6 indexed citations
8.
Hermannová, Martina, et al.. (2020). Current analytical methods for the characterization of N-deacetylated hyaluronan: A critical review. Carbohydrate Polymers. 249. 116720–116720. 10 indexed citations
9.
Háková, Martina, Lucie Havlíková, Jiří Chvojka, et al.. (2018). Nanofiber polymers as novel sorbents for on-line solid phase extraction in chromatographic system: A comparison with monolithic reversed phase C18 sorbent. Analytica Chimica Acta. 1018. 26–34. 27 indexed citations
10.
Šatı́nský, Dalibor, et al.. (2017). A UHPLC method for the rapid separation and quantification of anthocyanins in acai berry and dry blueberry extracts. Journal of Pharmaceutical and Biomedical Analysis. 143. 204–213. 29 indexed citations
11.
12.
Šatı́nský, Dalibor, et al.. (2013). Green chromatography separation of analytes of greatly differing properties using a polyethylene glycol stationary phase and a low-toxic water-based mobile phase. Analytical and Bioanalytical Chemistry. 405(18). 6105–6115. 31 indexed citations
13.
Santos, Lúcia H.M.L.M., Dalibor Šatı́nský, Angelina Pena, et al.. (2013). Fast and sensitive UHPLC methods with fluorescence and tandem mass spectrometry detection for the determination of tetracycline antibiotics in surface waters. Journal of Chromatography B. 927. 201–208. 51 indexed citations
14.
15.
Chocholouš, Petr, Dalibor Šatı́nský, Hana Sklenářová, & Petr Solich. (2010). Two-column Sequential Injection Chromatography—New approach for fast and effective analysis and its comparison with gradient elution chromatography. Analytica Chimica Acta. 668(1). 61–66. 23 indexed citations
16.
Kolev, Spas D., et al.. (2009). Highly sensitive gas-diffusion sequential injection analysis based on flow manipulation. Talanta. 79(4). 1021–1025. 19 indexed citations
17.
18.
Araújo, Alberto N., et al.. (2005). Flow-through sol–gel optical biosensor for the colorimetric determination of acetazolamide. The Analyst. 130(8). 1190–1190. 27 indexed citations
19.
Huclová, Jitka, Dalibor Šatı́nský, Hana Sklenářová, & R. Karlíček. (2003). Determination of salbutamol using on-line solid-phase extraction and sequential injection analysis. Comparison of chemiluminescence and fluorescence detection. Analytical and Bioanalytical Chemistry. 376(4). 448–454. 25 indexed citations
20.
Solich, Petr, et al.. (2002). Automated simultaneous monitoring of nitrate and nitrite in surface water by sequential injection analysis. Water Research. 36(11). 2777–2783. 31 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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