András Hatos
Impact in
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- RNA Research and Splicing
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
Papers in
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- Protein Structure and Dynamics 7
- RNA Research and Splicing 3
- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- Enzyme Structure and Function 4
- Co-authors
- Silvio C. E. Tosatto (11 shared papers)Mónika Fuxreiter (4 shared papers)Damiano Piovesan (9 shared papers)Michele Vendruscolo (2 shared papers)Alexander Miguel Monzón (5 shared papers)Federica Quaglia (6 shared papers)Marco Necci (2 shared papers)Zsuzsanna Dosztányi (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Current Protocols (2 papers)Current Protocols in Bioinformatics (1 paper)GigaScience (1 paper)Database (1 paper)
- Partner nations
- ItalyUnited KingdomHungary
In The Last Decade
András Hatos
11 papers receiving 305 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 276
- Biochemistry 15
- Aging 3
- Cell Biology 23
- Materials Chemistry 51
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 | 2020 | 149 | |
| 2 | 2022 | 80 | |
| 3 | 2021 | 33 | |
| 4 | 2023 | 14 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 4 | |
| 8 | 2021 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2020 | 1 |
About András Hatos
András Hatos is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Biochemistry and Health Informatics, having authored 11 papers that have together received 307 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (4 papers), Advanced Proteomics Techniques and Applications (3 papers), RNA Research and Splicing (3 papers), Lipid metabolism and biosynthesis (2 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Molecular Biology (276 citations), Biochemistry (15 citations), Aging (3 citations), Cell Biology (23 citations) and Materials Chemistry (51 citations). András Hatos has collaborated with scholars based in Italy, United Kingdom and Hungary. Frequent co-authors include Silvio C. E. Tosatto, Mónika Fuxreiter, Damiano Piovesan, Michele Vendruscolo, Alexander Miguel Monzón, Federica Quaglia, Marco Necci, Zsuzsanna Dosztányi, Nahuel Escobedo and Pathmanaban Ramasamy. Their work appears in journals such as Nucleic Acids Research, Current Protocols, Current Protocols in Bioinformatics, GigaScience and Database.
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.