László Ötvös

6.6k citations
177 papers · 5.6k · h-index 41

Impact in

Papers in

    • Chemical Synthesis and Analysis 28
    • DNA and Nucleic Acid Chemistry 27
    • Biochemical and Structural Characterization 14
    • Antimicrobial Peptides and Activities 42

László Ötvös

172 papers receiving 5.4k citations

Peers

László Ötvös
Comparison fields: 5 of 128
  • Microbiology 2.0k
  • Molecular Medicine 251
  • Endocrine and Autonomic Systems 315
  • Molecular Biology 3.2k
  • Immunology 745
Replace Luís Rivas with:
Luís Rivas Spain
David W. Hoskin Canada
Peter Elsbach United States
Artur J. Ulmer Germany
Eugene C. Yi United States
Carol A. Nacy United States
Shoichi Kusumoto Japan
Kyung‐Soo Hahm South Korea
Lee Whitmore United Kingdom
Jean‐Marie Ruysschaert Belgium
László Ötvös relative to Luís Rivas Spain Luís Rivas's profile →
Citations per field
00.5×6.8×
Luís Rivas · 1×
Citations per year

Countries citing papers authored by László Ötvös

Since Specialization
Citations

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

Fields of papers citing papers by László Ötvös

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001406
2 2000316
3 2014298
4 2001205
5 2014173
6 1993165
7 2011162
8 2005142
9 2016138
10 2002119
11 2011107
12 2008104
13 1987100
14 201773
15 199870
16 200068
17 200867
18 200062
19 200961
20 201561

About László Ötvös

László Ötvös is a scholar working on Molecular Biology, Microbiology, Organic Chemistry, Immunology and Epidemiology, having authored 177 papers that have together received 5.6k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (42 papers), Chemical Synthesis and Analysis (28 papers), DNA and Nucleic Acid Chemistry (27 papers), Regulation of Appetite and Obesity (15 papers), Biochemical and Structural Characterization (14 papers), HIV/AIDS drug development and treatment (13 papers), Analytical Chemistry and Chromatography (13 papers) and Immune Response and Inflammation (12 papers). The work is most often cited by research in Microbiology (2.0k citations), Molecular Medicine (251 citations), Endocrine and Autonomic Systems (315 citations), Molecular Biology (3.2k citations) and Immunology (745 citations). László Ötvös has collaborated with scholars based in Hungary, United States and Australia. Frequent co-authors include John D. Wade, Ralf Hoffmann, Sándor Lovas, Barry A. Condie, János Sági, Goran Kragol, David J. Craik, Eva Surmacz, Marco Cassone and Philippe Bulet. Their work appears in journals such as Nucleic Acids Research, Frontiers in Chemistry, Biochemical and Biophysical Research Communications, Biochemistry and Journal of Chromatography A.

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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