László Patthy
Impact in
- Cancer Research top 0.5%
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
Papers in
-
- Genomics and Phylogenetic Studies 20
- RNA and protein synthesis mechanisms 16
- Glycosylation and Glycoproteins Research 13
- Machine Learning in Bioinformatics 10
-
- Protease and Inhibitor Mechanisms 41
- Co-authors
- László Bányai (44 shared papers)Mária Trexler (40 shared papers)Emil L. Smith (4 shared papers)Hedvig Tordai (12 shared papers)András Váradi (5 shared papers)Alinda Nagy (12 shared papers)Miguel Llinás (12 shared papers)Peer Bork (1 shared paper)
- Journals
- Journal of Biological Chemistry (22 papers)FEBS Letters (15 papers)European Journal of Biochemistry (11 papers)Biochemistry (6 papers)Genes (6 papers)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
László Patthy
139 papers receiving 7.3k citations
Peers
Comparison fields: 5 of 153
- Cancer Research 1.8k
- Immunology and Allergy 665
- Hematology 992
- Molecular Biology 4.4k
- Biotechnology 439
Countries citing papers authored by László Patthy
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
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.
All Works
Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 442 | |
| 2 | 1975 | 359 | |
| 3 | 1999 | 337 | |
| 4 | 1987 | 264 | |
| 5 | 1991 | 239 | |
| 6 | 1983 | 224 | |
| 7 | 1984 | 171 | |
| 8 | 1999 | 159 | |
| 9 | 2002 | 155 | |
| 10 | 1999 | 152 | |
| 11 | 1975 | 146 | |
| 12 | 1987 | 140 | |
| 13 | 1991 | 140 | |
| 14 | 2003 | 138 | |
| 15 | 2000 | 136 | |
| 16 | 1998 | 129 | |
| 17 | 1995 | 124 | |
| 18 | 2004 | 119 | |
| 19 | 2001 | 115 | |
| 20 | 1993 | 108 |
About László Patthy
László Patthy is a scholar working on Molecular Biology, Cancer Research, Hematology, Genetics and Biotechnology, having authored 141 papers that have together received 7.8k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (41 papers), Genomics and Phylogenetic Studies (20 papers), Blood Coagulation and Thrombosis Mechanisms (17 papers), RNA and protein synthesis mechanisms (16 papers), Glycosylation and Glycoproteins Research (13 papers), Cell Adhesion Molecules Research (11 papers), Enzyme Production and Characterization (11 papers) and Machine Learning in Bioinformatics (10 papers). The work is most often cited by research in Cancer Research (1.8k citations), Immunology and Allergy (665 citations), Hematology (992 citations), Molecular Biology (4.4k citations) and Biotechnology (439 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, Biochemistry 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.