András Hatos
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Machine Learning in Bioinformatics
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
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- Enzyme Structure and Function
Papers in
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- Protein Structure and Dynamics 8
- Bioinformatics and Genomic Networks 4
- Machine Learning in Bioinformatics 4
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
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- Enzyme Structure and Function 4
- Co-authors
- Silvio C. E. Tosatto (14 shared papers)Mónika Fuxreiter (4 shared papers)Damiano Piovesan (12 shared papers)Michele Vendruscolo (3 shared papers)Alexander Miguel Monzón (8 shared papers)Federica Quaglia (9 shared papers)Norman E. Davey (4 shared papers)Gustavo Parisi (4 shared papers)
In The Last Decade
András Hatos
14 papers receiving 853 citations
András Hatos's Hit Papers
Peers
Comparison fields: 5 of 77
- Molecular Biology 757
- Materials Chemistry 201
- Biochemistry 25
- Cell Biology 48
- Spectroscopy 50
Countries citing papers authored by András Hatos
This map shows the geographic impact of András Hatos'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 András Hatos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Hatos more than expected).
Fields of papers citing papers by András Hatos
This network shows the impact of papers produced by András Hatos. 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 András Hatos. The network helps show where András Hatos may publish in the future.
Co-authors
The 25 scholars most cited alongside András Hatos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Critical assessment of protein intrinsic disorder prediction Hit paper breakdown → | 2021 | 225 |
| 2 | 2019 | 177 | |
| 3 | 2020 | 160 | |
| 4 | 2021 | 119 | |
| 5 | 2022 | 89 | |
| 6 | 2021 | 36 | |
| 7 | 2023 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 8 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2024 | 1 |
About András Hatos
András Hatos is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Biochemistry and Health Informatics, having authored 14 papers that have together received 856 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (4 papers), Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (4 papers), Advanced Proteomics Techniques and Applications (3 papers), RNA Research and Splicing (3 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Molecular Biology (757 citations), Materials Chemistry (201 citations), Biochemistry (25 citations), Cell Biology (48 citations) and Spectroscopy (50 citations). András Hatos has collaborated with scholars based in Italy, Hungary and Belgium. Frequent co-authors include Silvio C. E. Tosatto, Mónika Fuxreiter, Damiano Piovesan, Michele Vendruscolo, Alexander Miguel Monzón, Federica Quaglia, Norman E. Davey, Gustavo Parisi, Zsuzsanna Dosztányi and Lisanna Paladin. Their work appears in journals such as Nucleic Acids Research, Current Protocols, GigaScience, Current Protocols in Bioinformatics and PLoS Computational Biology.
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.