Martin Gilár

5.4k total citations · 1 hit paper
87 papers, 4.4k citations indexed

About

Martin Gilár is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Martin Gilár has authored 87 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Spectroscopy, 48 papers in Molecular Biology and 41 papers in Biomedical Engineering. Recurrent topics in Martin Gilár's work include Analytical Chemistry and Chromatography (59 papers), Microfluidic and Capillary Electrophoresis Applications (38 papers) and Mass Spectrometry Techniques and Applications (27 papers). Martin Gilár is often cited by papers focused on Analytical Chemistry and Chromatography (59 papers), Microfluidic and Capillary Electrophoresis Applications (38 papers) and Mass Spectrometry Techniques and Applications (27 papers). Martin Gilár collaborates with scholars based in United States, Czechia and Poland. Martin Gilár's co-authors include John C. Gebler, Petra Olivova, Edouard S. P. Bouvier, Fabrice Gritti, Ying‐Qing Yu, Aleksander Jaworski, Uwe D. Neue, Kenneth J. Fountain, Ying Yu and Joomi Ahn and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Martin Gilár

85 papers receiving 4.3k citations

Hit Papers

Orthogonality of Separation in Two-Dimensional Liquid Chr... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Gilár United States 32 2.9k 2.8k 1.2k 805 290 87 4.4k
John C. Gebler United States 32 2.2k 0.7× 2.5k 0.9× 692 0.6× 463 0.6× 321 1.1× 63 3.9k
Charles Pidgeon United States 25 1.1k 0.4× 1.5k 0.5× 428 0.4× 273 0.3× 157 0.5× 51 2.5k
Koen Sandra Belgium 25 940 0.3× 1.3k 0.4× 436 0.4× 227 0.3× 341 1.2× 48 2.0k
András Guttman Hungary 33 795 0.3× 2.0k 0.7× 1.7k 1.4× 96 0.1× 444 1.5× 120 3.7k
Xindu Geng China 19 889 0.3× 1.1k 0.4× 405 0.3× 430 0.5× 240 0.8× 76 1.6k
Hélène Perreault Canada 32 1.1k 0.4× 1.8k 0.6× 249 0.2× 120 0.1× 352 1.2× 104 2.6k
Valentina D’Atri Switzerland 29 869 0.3× 1.5k 0.5× 399 0.3× 201 0.2× 652 2.2× 65 2.1k
Eric F. Strittmatter United States 31 2.1k 0.7× 1.6k 0.6× 233 0.2× 151 0.2× 76 0.3× 42 3.1k
Andrea Gargano Netherlands 20 900 0.3× 685 0.2× 485 0.4× 334 0.4× 70 0.2× 55 1.4k
Jan‐Christer Janson Sweden 26 378 0.1× 1.4k 0.5× 333 0.3× 214 0.3× 301 1.0× 75 2.2k

Countries citing papers authored by Martin Gilár

Since Specialization
Citations

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

Fields of papers citing papers by Martin Gilár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Gilár

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Gilár. A scholar is included among the top collaborators of Martin Gilár 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 Martin Gilár. Martin Gilár 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
2.
Gilár, Martin, et al.. (2024). Impact of mobile and stationary phases on siRNA duplex stability in liquid chromatography. Journal of Chromatography A. 1733. 465285–465285. 12 indexed citations
3.
Gilár, Martin, et al.. (2024). Impact of ion-pairing systems choice on diastereomeric selectivity of phosphorothioated oligonucleotides in reversed-phase liquid chromatography. Journal of Chromatography A. 1730. 465074–465074. 10 indexed citations
4.
Yogendrarajah, Pratheeba, et al.. (2023). Analysis of siRNA with Denaturing and Non-Denaturing Ion-Pair Reversed-Phase Liquid Chromatography Methods. LCGC North America. 60–66. 8 indexed citations
5.
Gilár, Martin, et al.. (2023). Liquid Chromatography Methods for Analysis of mRNA Poly(A) Tail Length and Heterogeneity. Analytical Chemistry. 95(38). 14308–14316. 26 indexed citations
7.
Kalíková, Květa, et al.. (2022). Phosphorothioate oligonucleotides separation in ion-pairing reversed-phase liquid chromatography: Effect of ion-pairing system. Journal of Chromatography A. 1676. 463201–463201. 25 indexed citations
8.
Kozlík, Petr, et al.. (2021). Characterization and comparison of mixed-mode and reversed-phase columns; interaction abilities and applicability for peptide separation. Journal of Chromatography A. 1648. 462182–462182. 15 indexed citations
9.
Kalíková, Květa, et al.. (2020). Method for evaluation of ionic interactions in liquid chromatography. Journal of Chromatography A. 1625. 461301–461301. 23 indexed citations
11.
Gritti, Fabrice, Darryl W. Brousmiche, Martin Gilár, Thomas H. Walter, & Kevin D. Wyndham. (2019). Kinetic mechanism of water dewetting from hydrophobic stationary phases utilized in liquid chromatography. Journal of Chromatography A. 1596. 41–53. 24 indexed citations
12.
Gilár, Martin, et al.. (2017). Performance comparison of three trypsin columns used in liquid chromatography. Journal of Chromatography A. 1490. 126–132. 21 indexed citations
13.
Gritti, Fabrice, et al.. (2016). Maximizing performance in supercritical fluid chromatography using low-density mobile phases. Journal of Chromatography A. 1468. 217–227. 13 indexed citations
14.
Gritti, Fabrice, Thomas S. McDonald, & Martin Gilár. (2016). Intrinsic advantages of packed capillaries over narrow-bore columns in very high-pressure gradient liquid chromatography. Journal of Chromatography A. 1451. 107–119. 12 indexed citations
15.
Gritti, Fabrice, et al.. (2016). Bridging the gap between gas and liquid chromatography. Journal of Chromatography A. 1472. 107–116. 5 indexed citations
16.
McCarthy, Sean M., Martin Gilár, & John C. Gebler. (2009). Reversed-phase ion-pair liquid chromatography analysis and purification of small interfering RNA. Analytical Biochemistry. 390(2). 181–188. 86 indexed citations
17.
Yu, Ying, Jae-Woo Ahn, Martin Gilár, & John C. Gebler. (2007). P64-S Nano-Scale Ion-Pairing Ultra-Performance Liquid Chromatography Coupled with QTof Mass Spectrometry for the Separation Analysis of Phosphopeptides. Journal of Biomolecular Techniques JBT. 18(1). 22–22. 1 indexed citations
18.
Yu, Ying, et al.. (2005). Deglycosylation and sample cleanup method for mass spectrometry analysis of N-linked glycans. LCGC North America. 23–25. 2 indexed citations
19.
Fountain, Kenneth J., et al.. (2002). Purification of dye-labeled oligonucleotides by ion-pair reversed-phase high-performance liquid chromatography. Journal of Chromatography B. 783(1). 61–72. 23 indexed citations
20.
Gilár, Martin, Edouard S. P. Bouvier, & Bruce Jon Compton. (2001). Advances in sample preparation in electromigration, chromatographic and mass spectrometric separation methods. Journal of Chromatography A. 909(2). 111–135. 83 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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