László Ürge

2.6k citations
56 papers · 2.1k · h-index 26

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 13
    • Chemical Synthesis and Analysis 12
    • Carbohydrate Chemistry and Synthesis 10
    • Nanomaterials for catalytic reactions 7

László Ürge

55 papers receiving 2.0k citations

Peers

László Ürge
Comparison fields: 5 of 111
  • Microbiology 225
  • Organic Chemistry 731
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 240
  • Inorganic Chemistry 181
Replace Gunnar Lindeberg with:
Gunnar Lindeberg Sweden
Nanxi Wang China
Roberto Fattorusso Italy
Timor Baasov Israel
Timothy A. Hill Australia
Alun Jones Australia
Steven Ballet Belgium
Rolf Geiger Czechia
Masatoshi Taniguchi Japan
John P. Mayer United States
László Ürge relative to Gunnar Lindeberg Sweden Gunnar Lindeberg's profile →
Citations per field
00.5×4.0×
Gunnar Lindeberg · 1×
Citations per year

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-authors

The 25 scholars most cited alongside László Ürge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with László Ürge Line = papers co-authored together László Ürge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998330
2 1993159
3 2005148
4 1996104
5 200882
6 200281
7 199768
8 200866
9 199259
10 200357
11 199552
12 199952
13 199251
14 199147
15 199045
16 199243
17 199239
18 201035
19 201233
20 199133

About László Ürge

László Ürge is a scholar working on Molecular Biology, Organic Chemistry, Biomedical Engineering, Inorganic Chemistry and Spectroscopy, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers), Chemical Synthesis and Analysis (12 papers), Asymmetric Hydrogenation and Catalysis (10 papers), Carbohydrate Chemistry and Synthesis (10 papers), Nanomaterials for catalytic reactions (7 papers), Analytical Chemistry and Chromatography (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Microbiology (225 citations), Organic Chemistry (731 citations), Molecular Biology (1.2k citations), Cellular and Molecular Neuroscience (240 citations) and Inorganic Chemistry (181 citations). László Ürge has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include László Ötvös, Ferenç Darvas, György Dormán, Miklós Hollósi, Jan Thurin, Richard V. Jones, Lajos Gödörházy, László Ötvös, László Poppe and József Bakos. Their work appears in journals such as Tetrahedron Letters, Journal of Chromatography A, Tetrahedron, Tetrahedron Asymmetry and Molecular Diversity.

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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