Gábor Járvás

978 total citations
50 papers, 782 citations indexed

About

Gábor Járvás is a scholar working on Biomedical Engineering, Molecular Biology and Spectroscopy. According to data from OpenAlex, Gábor Járvás has authored 50 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 21 papers in Molecular Biology and 9 papers in Spectroscopy. Recurrent topics in Gábor Járvás's work include Microfluidic and Capillary Electrophoresis Applications (21 papers), Glycosylation and Glycoproteins Research (20 papers) and Microfluidic and Bio-sensing Technologies (8 papers). Gábor Járvás is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (21 papers), Glycosylation and Glycoproteins Research (20 papers) and Microfluidic and Bio-sensing Technologies (8 papers). Gábor Járvás collaborates with scholars based in Hungary, United States and Czechia. Gábor Járvás's co-authors include András Guttman, A. Dallos, András Guttman, Márton Szigeti, Christian Quellet, František Foret, Matthew P. Campbell, Jodie L. Abrahams, Ghazaleh Taherzadeh and Yaoqi Zhou and has published in prestigious journals such as Analytical Chemistry, The Journal of Physical Chemistry B and The Journal of Physical Chemistry C.

In The Last Decade

Gábor Járvás

47 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gábor Járvás Hungary 17 312 260 161 125 115 50 782
Bernd Niemeyer Germany 19 485 1.6× 200 0.8× 104 0.6× 88 0.7× 135 1.2× 65 971
Vı́ctor Agmo Hernández Sweden 18 481 1.5× 113 0.4× 117 0.7× 141 1.1× 36 0.3× 50 839
Daniel Forciniti United States 15 235 0.8× 139 0.5× 69 0.4× 47 0.4× 158 1.4× 40 741
Eve Revalor Australia 7 199 0.6× 653 2.5× 126 0.8× 92 0.7× 169 1.5× 8 998
Dandan Jiang China 18 221 0.7× 305 1.2× 320 2.0× 197 1.6× 36 0.3× 105 971
Rodrigo M. Cordeiro Brazil 17 376 1.2× 207 0.8× 88 0.5× 164 1.3× 78 0.7× 28 942
Linwei Li China 18 353 1.1× 148 0.6× 64 0.4× 43 0.3× 258 2.2× 102 1.0k
Joseph Chamieh France 17 203 0.7× 245 0.9× 129 0.8× 32 0.3× 110 1.0× 40 653
Hiroyuki Matsuda Japan 23 172 0.6× 679 2.6× 132 0.8× 69 0.6× 473 4.1× 97 1.6k

Countries citing papers authored by Gábor Járvás

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Járvás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Járvás

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Járvás. A scholar is included among the top collaborators of Gábor Járvás 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 Gábor Járvás. Gábor Járvás 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.
Járvás, Gábor, et al.. (2025). Multifaceted Approaches in Epithelial Cell Adhesion Molecule-Mediated Circulating Tumor Cell Isolation. Molecules. 30(5). 976–976. 1 indexed citations
2.
Vathy-Fogarassy, Ágnes, et al.. (2025). Improved analytical workflow towards machine learning supported N-glycomics-based biomarker discovery. Talanta. 295. 128389–128389.
3.
Vathy-Fogarassy, Ágnes, et al.. (2025). Predicting the effectiveness of chemotherapy treatment in lung cancer utilizing artificial intelligence-supported serum N-glycome analysis. Computers in Biology and Medicine. 186. 109681–109681. 3 indexed citations
5.
Járvás, Gábor, et al.. (2023). Purification free N-glycan analysis by capillary zone electrophoresis: Hunt for the lost glycans. Journal of Pharmaceutical and Biomedical Analysis. 238. 115812–115812. 6 indexed citations
6.
Járvás, Gábor, et al.. (2023). Capillary Zone Electrophoresis of 8-Aminopyrene-1,3,6-trisulfonic Acid Labeled Carbohydrates with Online Electrokinetic Sample Cleanup. Analytical Chemistry. 95(45). 16459–16464. 2 indexed citations
7.
Járvás, Gábor, Hajnalka Jankovics, Ferenc Vonderviszt, et al.. (2023). Microbead-based extracorporeal immuno-affinity virus capture: a feasibility study to address the SARS-CoV-2 pandemic. Microchimica Acta. 190(3). 95–95.
8.
Járvás, Gábor, et al.. (2022). The Effect of Sample Glucose Content on PNGase F-Mediated N-Glycan Release Analyzed by Capillary Electrophoresis. Molecules. 27(23). 8192–8192. 5 indexed citations
9.
Jankovics, Hajnalka, et al.. (2021). Integrated workflow for urinary prostate specific antigen N-glycosylation analysis using sdAb partitioning and downstream capillary electrophoresis separation. Analytica Chimica Acta. 1184. 338892–338892. 5 indexed citations
10.
Járvás, Gábor, et al.. (2020). Separation based characterization methods for the N-glycosylation analysis of prostate-specific antigen. Journal of Pharmaceutical and Biomedical Analysis. 194. 113797–113797. 10 indexed citations
11.
Járvás, Gábor, et al.. (2020). Glycoprotein biomarkers and analysis in chronic obstructive pulmonary disease and lung cancer with special focus on serum immunoglobulin G. Clinica Chimica Acta. 506. 204–213. 21 indexed citations
12.
Shao, Huikai, Gábor Járvás, András Guttman, et al.. (2020). On-line enrichment of N-glycans by immobilized metal-affinity monolith for capillary electrophoresis analysis. Analytica Chimica Acta. 1134. 1–9. 13 indexed citations
13.
Járvás, Gábor, Márton Szigeti, Zsuzsanna Kovács, et al.. (2019). Comparative analysis of the human serum N-glycome in lung cancer, COPD and their comorbidity using capillary electrophoresis. Journal of Chromatography B. 1137. 121913–121913. 26 indexed citations
14.
Járvás, Gábor, et al.. (2019). N-glycosylation analysis of biopharmaceuticals by multicapillary gel electrophoresis: Generation and application of a new glucose unit database. Journal of Pharmaceutical and Biomedical Analysis. 178. 112892–112892. 12 indexed citations
15.
Járvás, Gábor, Márton Szigeti, & András Guttman. (2018). Effect of the flow profile on separation efficiency in pressure‐assisted reversed‐polarity capillary zone electrophoresis of anions: Simulation and experimental evaluation. Journal of Separation Science. 41(11). 2473–2478. 7 indexed citations
17.
Járvás, Gábor, Márton Szigeti, & András Guttman. (2017). Structural identification of N-linked carbohydrates using the GUcal application: A tutorial. Journal of Proteomics. 171. 107–115. 14 indexed citations
18.
Járvás, Gábor, Bryan R. Fonslow, John R. Yates, František Foret, & András Guttman. (2016). Characterization of a Porous Nano-electrospray Capillary Emitter at Ultra-low Flow Rates. Journal of Chromatographic Science. 55(1). 47–51. 19 indexed citations
19.
Járvás, Gábor, Márton Szigeti, & András Guttman. (2015). GUcal: An integrated application for capillary electrophoresis based glycan analysis. Electrophoresis. 36(24). 3094–3096. 21 indexed citations
20.
Járvás, Gábor, Márton Szigeti, László Hajba, Péter Fürjes, & András Guttman. (2014). Computational Fluid Dynamics-Based Design of a Microfabricated Cell Capture Device. Journal of Chromatographic Science. 53(3). 411–416. 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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