Dániel Süveges
Impact in
- Genetics top 1%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Rheumatology top 2%
- Osteoarthritis Treatment and Mechanisms
Papers in
- Genetics 11
- Genetic Associations and Epidemiology 10
- Genomic variations and chromosomal abnormalities 1
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- Protein Structure and Dynamics 7
- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 2
- Co-authors
- László Nyitray (7 shared papers)Zoltán Gáspári (4 shared papers)Eleftheria Zeggini (8 shared papers)George V. Dedoussis (6 shared papers)Gábor J. Tóth (3 shared papers)Arthur Gilly (6 shared papers)Lorraine Southam (4 shared papers)Emmanouil Tsafantakis (5 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Nature Genetics (4 papers)Nature Communications (3 papers)Scientific Reports (2 papers)Bioinformatics (2 papers)
- Partner nations
- United KingdomHungaryGermany
In The Last Decade
Dániel Süveges
28 papers receiving 5.3k citations
Dániel Süveges's Hit Papers
Peers
Comparison fields: 5 of 125
- Genetics 2.5k
- Rheumatology 571
- Molecular Biology 1.3k
- Aging 30
- Computational Theory and Mathematics 245
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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 Hit paper breakdown → | 2018 | 2832 |
| 2 | Open Targets Genetics: systematic identification of trait-associated genes using large-scale genetics and functional genomics Hit paper breakdown → | 2020 | 399 |
| 3 | Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data Hit paper breakdown → | 2019 | 386 |
| 4 | Open Targets Platform: supporting systematic drug–target identification and prioritisation Hit paper breakdown → | 2020 | 312 |
| 5 | Genome-wide analyses using UK Biobank data provide insights into the genetic architecture of osteoarthritis Hit paper breakdown → | 2018 | 240 |
| 6 | The next-generation Open Targets Platform: reimagined, redesigned, rebuilt Hit paper breakdown → | 2022 | 239 |
| 7 | 2018 | 143 | |
| 8 | 2017 | 135 | |
| 9 | Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery Hit paper breakdown → | 2024 | 86 |
| 10 | 2020 | 75 | |
| 11 | 2017 | 72 | |
| 12 | 2018 | 69 | |
| 13 | 2008 | 63 | |
| 14 | 2011 | 55 | |
| 15 | 2023 | 49 | |
| 16 | 2010 | 32 | |
| 17 | 2018 | 32 | |
| 18 | 2012 | 27 | |
| 19 | 2018 | 25 | |
| 20 | 2010 | 24 |
About Dániel Süveges
Dániel Süveges is a scholar working on Genetics, Molecular Biology, Rheumatology, Computational Theory and Mathematics and Cell Biology, having authored 28 papers that have together received 5.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (10 papers), Protein Structure and Dynamics (7 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Computational Drug Discovery Methods (3 papers), Microtubule and mitosis dynamics (2 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomic variations and chromosomal abnormalities (1 paper). The work is most often cited by research in Genetics (2.5k citations), Rheumatology (571 citations), Molecular Biology (1.3k citations), Aging (30 citations) and Computational Theory and Mathematics (245 citations). Dániel Süveges has collaborated with scholars based in United Kingdom, Hungary and Germany. Frequent co-authors include László Nyitray, Zoltán Gáspári, Eleftheria Zeggini, George V. Dedoussis, Gábor J. Tóth, Arthur Gilly, Lorraine Southam, Emmanouil Tsafantakis, Nigel William Rayner and Jeremy Schwartzentruber. Their work appears in journals such as Nucleic Acids Research, Nature Genetics, Nature Communications, Scientific Reports and Bioinformatics.
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.