László Ürge

2.6k total citations
56 papers, 2.1k citations indexed

About

László Ürge is a scholar working on Molecular Biology, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, László Ürge has authored 56 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 30 papers in Organic Chemistry and 15 papers in Biomedical Engineering. Recurrent topics in László Ürge's work include Glycosylation and Glycoproteins Research (13 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers) and Chemical Synthesis and Analysis (12 papers). László Ürge is often cited by papers focused on Glycosylation and Glycoproteins Research (13 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers) and Chemical Synthesis and Analysis (12 papers). László Ürge collaborates with scholars based in Hungary, United States and Portugal. László Ürge's co-authors include Ferenç Darvas, László Ötvös, György Dormán, Philippe Bulet, Miklós Hollósi, Jan Thurin, Richard V. Jones, Lajos Gödörházy, László Ötvös and László Poppe and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Molecular Biology and Biochemistry.

In The Last Decade

László Ürge

55 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
László Ürge Hungary 26 1.3k 735 361 247 225 56 2.1k
Gunnar Lindeberg Sweden 30 1.4k 1.1× 632 0.9× 236 0.7× 497 2.0× 237 1.1× 89 2.7k
Murray J. B. Brown United Kingdom 28 2.2k 1.8× 879 1.2× 181 0.5× 151 0.6× 50 0.2× 41 3.2k
Timor Baasov Israel 41 3.3k 2.6× 1.6k 2.1× 438 1.2× 347 1.4× 128 0.6× 112 4.6k
Roberto Fattorusso Italy 29 1.9k 1.5× 327 0.4× 147 0.4× 225 0.9× 137 0.6× 129 2.7k
John M. Nuss United States 16 1.3k 1.0× 847 1.2× 60 0.2× 104 0.4× 188 0.8× 30 1.9k
Nanxi Wang China 25 1.8k 1.5× 699 1.0× 128 0.4× 96 0.4× 216 1.0× 47 2.9k
Barrie Kellam United Kingdom 29 1.7k 1.4× 567 0.8× 203 0.6× 594 2.4× 32 0.1× 88 2.5k
Tatyana I. Rokitskaya Russia 26 1.5k 1.2× 242 0.3× 231 0.6× 267 1.1× 152 0.7× 105 2.2k
Timothy A. Hill Australia 28 1.9k 1.5× 821 1.1× 54 0.1× 139 0.6× 220 1.0× 66 2.7k
Zhengwang Chen China 31 632 0.5× 2.0k 2.8× 179 0.5× 111 0.4× 71 0.3× 133 3.1k

Countries citing papers authored by László Ürge

Since Specialization
Citations

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

Fields of papers citing papers by László Ürge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Ürge

This figure shows the co-authorship network connecting the top 25 collaborators of László Ürge. A scholar is included among the top collaborators of László Ürge 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 László Ürge. László Ürge 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.
Srankó, Dávid, György Sáfrán, László Ürge, et al.. (2014). Evaluation of SILP-Pd catalysts for Heck reactions in a microfluidics-based high throughput flow reactor. Journal of Molecular Catalysis A Chemical. 395. 364–372. 25 indexed citations
2.
Szöllősy, Áron, et al.. (2012). Asymmetric hydrogenation of CC double bonds using Rh-complex under homogeneous, heterogeneous and continuous mode conditions. Green Chemistry. 14(4). 1146–1146. 33 indexed citations
3.
4.
Szommer, Tamás, L Barna, Gergely Gyimesi, et al.. (2007). Enhanced hit-to-lead process using bioanalogous lead evolution and chemogenomics: application in designing selective matrix metalloprotease inhibitors. Expert Opinion on Drug Discovery. 2(5). 707–723. 4 indexed citations
5.
Varga, László Z., Tamás Nagy, György Dormán, et al.. (2006). Solution-Phase Parallel Synthesis of a Pyridinium Pyrazol-3-olate Inner Salt Library Using a Three-Component Reaction. Journal of Combinatorial Chemistry. 8(3). 338–343. 4 indexed citations
6.
Darvas, Ferenç, György Dormán, László G. Puskás, et al.. (2004). Recent Advances in Chemical Genomics. Current Medicinal Chemistry. 11(23). 3119–3145. 25 indexed citations
7.
Hackler, László, György Dormán, Zoltán Kele, et al.. (2003). Development of chemically modified glass surfaces for nucleic acid, protein and small molecule microarrays. Molecular Diversity. 7(1). 25–36. 14 indexed citations
8.
Visy, Júlia, et al.. (2002). Enantioselective plasma protein binding of bimoclomol. Chirality. 14(8). 638–642. 11 indexed citations
9.
Darvas, Ferenç, et al.. (2002). In Silico and Ex Silico ADME Approaches for Drug Discovery. Current Topics in Medicinal Chemistry. 2(12). 1287–1304. 83 indexed citations
10.
Hoffmann, Ralf, Philippe Bulet, László Ürge, & László Ötvös. (1999). Range of activity and metabolic stability of synthetic antibacterial glycopeptides from insects. Biochimica et Biophysica Acta (BBA) - General Subjects. 1426(3). 459–467. 52 indexed citations
12.
Ötvös, László, Georgia R. Krivulka, László Ürge, et al.. (1995). Comparison of the effects of amino acid substitutions and β-N- vs. α-O-glycosylation on the T-cell stimulatory activity and conformation of an epitope on the rabies virus glycoprotein. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1267(1). 55–64. 21 indexed citations
13.
Hoyer, John R., László Ötvös, & László Ürge. (1995). Osteopontin in Urinary Stone Formationa. Annals of the New York Academy of Sciences. 760(1). 257–265. 52 indexed citations
14.
Ürge, László, et al.. (1994). Comparative and optimized dabsyl-amino acid analysis of synthetic phosphopeptides and glycopeptides. Journal of Chromatography A. 676(1). 169–176. 8 indexed citations
15.
Ötvös, László, László Ürge, Zhi Quan Xiang, et al.. (1994). Glycosylation of synthetic T helper cell epitopic peptides influences their antigenic potency and conformation in a sugar location-specific manner. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1224(1). 68–76. 22 indexed citations
17.
Powell, Michael F., Tracy Murray Stewart, László Ötvös, et al.. (1993). Peptide Stability in Drug Development. II. Effect of Single Amino Acid Substitution and Glycosylation on Peptide Reactivity in Human Serum. Pharmaceutical Research. 10(9). 1268–1273. 158 indexed citations
18.
Hollósi, M., László Ürge, András Perczel, et al.. (1992). Metal ion-induced conformational changes of phosphorylated fragments of human neurofilament (NF-M) protein. Journal of Molecular Biology. 223(3). 673–682. 59 indexed citations
19.
Ötvös, László, László Ürge, & Jan Thurin. (1992). Influence of different N- and O-linked carbohydrates on the retention times of synthetic peptides in reversed-phase high-performance liquid chromatography. Journal of Chromatography A. 599(1-2). 43–49. 19 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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