Dániel Süveges
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
-
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
Papers in
-
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 3
- Genetics 8
- Genetic Associations and Epidemiology 6
- Genomics and Rare Diseases 2
- Co-authors
- László Nyitray (7 shared papers)Zoltán Gáspári (4 shared papers)Eleftheria Zeggini (8 shared papers)Gábor Tóth (3 shared papers)George Dedoussis (6 shared papers)Arthur Gilly (6 shared papers)Lorraine Southam (4 shared papers)Emmanouil Tsafantakis (5 shared papers)
- Journals
- Bioinformatics (2 papers)Nature Communications (2 papers)Nature Genetics (2 papers)Scientific Reports (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)
- Partner nations
- United KingdomHungaryGreece
In The Last Decade
Dániel Süveges
19 papers receiving 611 citations
Peers
Comparison fields: 5 of 83
- Genetics 187
- Molecular Biology 316
- Cell Biology 70
- Endocrine and Autonomic Systems 21
- Cancer Research 32
Countries citing papers authored by Dániel Süveges
This map shows the geographic impact of Dániel Süveges'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 Dániel Süveges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Süveges more than expected).
Fields of papers citing papers by Dániel Süveges
This network shows the impact of papers produced by Dániel Süveges. 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 Dániel Süveges. The network helps show where Dániel Süveges may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Süveges, 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 | 2018 | 122 | |
| 2 | 2020 | 67 | |
| 3 | 2008 | 62 | |
| 4 | 2018 | 61 | |
| 5 | 2011 | 57 | |
| 6 | 2017 | 56 | |
| 7 | 2023 | 43 | |
| 8 | 2010 | 32 | |
| 9 | 2018 | 29 | |
| 10 | 2012 | 27 | |
| 11 | 2010 | 23 | |
| 12 | 2007 | 14 | |
| 13 | 2025 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2019 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2009 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2019 | 1 |
About Dániel Süveges
Dániel Süveges is a scholar working on Molecular Biology, Genetics, Cell Biology, Cardiology and Cardiovascular Medicine and Spectroscopy, having authored 19 papers that have together received 613 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Microtubule and mitosis dynamics (2 papers), Genomics and Rare Diseases (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Genetics (187 citations), Molecular Biology (316 citations), Cell Biology (70 citations), Endocrine and Autonomic Systems (21 citations) and Cancer Research (32 citations). Dániel Süveges has collaborated with scholars based in United Kingdom, Hungary and Greece. Frequent co-authors include László Nyitray, Zoltán Gáspári, Eleftheria Zeggini, Gábor Tóth, George Dedoussis, Arthur Gilly, Lorraine Southam, Emmanouil Tsafantakis, Nigel W. Rayner and Jeremy Schwartzentruber. Their work appears in journals such as Bioinformatics, Nature Communications, Nature Genetics, Scientific Reports and Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics.
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.