László Urbán

53.8k citations
210 papers · 10.5k · 1 hit paper · h-index 54

Impact in

Papers in

László Urbán

207 papers receiving 10.1k citations

László Urbán's Hit Papers

Large-scale prediction and testing of drug activity on side-effect targets 2012 · 656 citations
6560+4+9Years since publication200400600

Peers

László Urbán
Comparison fields: 5 of 172
  • Sensory Systems 1.3k
  • Cellular and Molecular Neuroscience 3.5k
  • Physiology 4.5k
  • Pharmacology 1.9k
  • Pharmacology 908
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Christopher Southan United Kingdom
Michael Spedding France
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Citations per field
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Citations per year

Countries citing papers authored by László Urbán

Since Specialization
Citations

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

Fields of papers citing papers by László Urbán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside László Urbán, 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 Urbán Line = papers co-authored together László Urbán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Large-scale prediction and testing of drug activity on side-effect targets
Hit paper breakdown →
2012656
2 2001422
3 2001310
4 2005295
5 2016291
6 2003285
7 2000279
8 2002262
9 2000254
10 2007247
11 1994228
12 2004227
13 1984199
14 2001188
15 1994181
16 2001175
17 1999170
18 2003153
19 1993147
20 2001140

About László Urbán

László Urbán is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 210 papers that have together received 10.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (69 papers), Neuropeptides and Animal Physiology (46 papers), Neuroscience and Neuropharmacology Research (31 papers), Ion channel regulation and function (25 papers), Computational Drug Discovery Methods (20 papers), Lung Cancer Treatments and Mutations (16 papers), Pharmacogenetics and Drug Metabolism (14 papers) and Particle physics theoretical and experimental studies (13 papers). The work is most often cited by research in Sensory Systems (1.3k citations), Cellular and Molecular Neuroscience (3.5k citations), Physiology (4.5k citations), Pharmacology (1.9k citations) and Pharmacology (908 citations). László Urbán has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include A. Dray, Bruce Kidd, I. Nagy, Steven Whitebread, Jacques Hamon, Sadhana Patel, Alyson Fox, Steve Thompson, Mirjana Randić and Alyson J. Fox. Their work appears in journals such as Neuroscience, Pain, Journal of Clinical Oncology, Brain Research and British Journal of Pharmacology.

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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