László Őrfi

117 papers receiving 3.8k citations

Peers

László Őrfi
Comparison fields: 5 of 120
  • Oncology 745
  • Computational Theory and Mathematics 414
  • Organic Chemistry 522
  • Molecular Biology 990
  • Hematology 197
Replace Gÿorgý Kéri with:
Gÿorgý Kéri Hungary
Amrita V. Kamath United States
Zheng Yang United States
Koen Augustyns Belgium
Dirk B. Mendel United States
Melinda G. Hollingshead United States
Thomas Lundbäck Sweden
Peter Chiba Austria
John K. Buolamwini United States
David J. Maloney United States
László Őrfi relative to Gÿorgý Kéri Hungary Gÿorgý Kéri's profile →
Citations per field
00.5×1.5×
Gÿorgý Kéri · 1×
Citations per year

Countries citing papers authored by László Őrfi

Since Specialization
Citations

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

Fields of papers citing papers by László Őrfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004295
2
Flk-1 as a target for tumor growth inhibition.
1996289
3 2009207
4 2002186
5 2008178
6 2004126
7 2015123
8 2014110
9 200494
10 201094
11 200589
12 200288
13 201486
14 201475
15 200766
16 200866
17 201265
18 201462
19 199758
20 199855

About László Őrfi

László Őrfi is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Oncology, Molecular Biology and Spectroscopy, having authored 122 papers that have together received 4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (23 papers), Synthesis and biological activity (14 papers), Lung Cancer Treatments and Mutations (8 papers), Tuberculosis Research and Epidemiology (6 papers), Quinazolinone synthesis and applications (6 papers), Analytical Chemistry and Chromatography (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Nanoparticle-Based Drug Delivery (5 papers). The work is most often cited by research in Oncology (745 citations), Computational Theory and Mathematics (414 citations), Organic Chemistry (522 citations), Molecular Biology (990 citations) and Hematology (197 citations). László Őrfi has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Gÿorgý Kéri, Balázs Sarkadi, András Váradi, Tamás Hegedűs, Dániel Erös, Csilla Özvegy‐Laczka, Axel Ullrich, István Szabadkai, Csaba Szántai-Kis and Henrik Daub. Their work appears in journals such as Current Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, International Journal of Molecular Sciences and Journal of Chromatography B.

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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