László Patthy

9.5k citations
144 papers · 8.2k · h-index 53

Impact in

Papers in

    • Protease and Inhibitor Mechanisms 43
    • Genomics and Phylogenetic Studies 21
    • RNA and protein synthesis mechanisms 17
    • Glycosylation and Glycoproteins Research 13
    • Machine Learning in Bioinformatics 10

László Patthy

142 papers receiving 7.7k citations

Peers

László Patthy
Comparison fields: 5 of 158
  • Cancer Research 1.9k
  • Immunology and Allergy 700
  • Hematology 1.0k
  • Molecular Biology 4.6k
  • Biotechnology 452
Replace Luis Sánchez‐Pulido with:
Luis Sánchez‐Pulido United Kingdom
Ruth Sager United States
Bohdan Wasylyk France
Charles A. Montgomery United States
C. J. Marshall United Kingdom
Yoji Ikawa Japan
Eileen D. Adamson United States
Dominique Stéhelin France
Alan L. Schwartz United States
Hartmut Land United States
László Patthy relative to Luis Sánchez‐Pulido United Kingdom Luis Sánchez‐Pulido's profile →
Citations per field
00.5×2×2.8×
Luis Sánchez‐Pulido · 1×
Citations per year

Countries citing papers authored by László Patthy

Since Specialization
Citations

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

Fields of papers citing papers by László Patthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985445
2 1975357
3 1999327
4 1987265
5 1991237
6 1983223
7 2007172
8 1984172
9 1990168
10 1999159
11 2002157
12 1999152
13 1975146
14 1987142
15 1991138
16 2003137
17 2000136
18 1998132
19 1995126
20 2004121

About László Patthy

László Patthy is a scholar working on Cancer Research, Molecular Biology, Hematology, Immunology and Allergy and Biotechnology, having authored 144 papers that have together received 8.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (43 papers), Genomics and Phylogenetic Studies (21 papers), Blood Coagulation and Thrombosis Mechanisms (17 papers), RNA and protein synthesis mechanisms (17 papers), Glycosylation and Glycoproteins Research (13 papers), Cell Adhesion Molecules Research (13 papers), Enzyme Production and Characterization (12 papers) and Machine Learning in Bioinformatics (10 papers). The work is most often cited by research in Cancer Research (1.9k citations), Immunology and Allergy (700 citations), Hematology (1.0k citations), Molecular Biology (4.6k citations) and Biotechnology (452 citations). László Patthy has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include László Bányai, Mária Trexler, Emil L. Smith, Hedvig Tordai, András Váradi, Alinda Nagy, Miguel Llinás, Peer Bork, Károly Nikolics and Niels Behrendt. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, European Journal of Biochemistry, Proceedings of the National Academy of Sciences and Genes.

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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