Dániel V. Veres
Impact in
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- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Gene Regulatory Network Analysis
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Bioinformatics and Genomic Networks 10
- Gene Regulatory Network Analysis 6
- Single-cell and spatial transcriptomics 2
- Machine Learning in Bioinformatics 2
- Protein Structure and Dynamics 2
- Microbial Metabolic Engineering and Bioproduction 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Péter Csermely (15 shared papers)Tamás Korcsmáros (3 shared papers)Dávid Fazekas (1 shared paper)Katalin Lenti (2 shared papers)Dezső Módos (2 shared papers)Péter Tompa (1 shared paper)Eszter Hazai (1 shared paper)Péter Ferdinandy (2 shared papers)
- Journals
- npj Systems Biology and Applications (3 papers)Seminars in Cancer Biology (2 papers)The Journal of Physical Chemistry B (1 paper)Schizophrenia Bulletin (1 paper)British Journal of Pharmacology (1 paper)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Dániel V. Veres
17 papers receiving 343 citations
Peers
Comparison fields: 5 of 70
- Aging 6
- Molecular Biology 231
- Cancer Research 46
- Computational Theory and Mathematics 42
- Biophysics 14
Countries citing papers authored by Dániel V. Veres
This map shows the geographic impact of Dániel V. Veres'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 V. Veres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel V. Veres more than expected).
Fields of papers citing papers by Dániel V. Veres
This network shows the impact of papers produced by Dániel V. Veres. 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 V. Veres. The network helps show where Dániel V. Veres may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel V. Veres, 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 | ComPPI: a cellular compartment-specific database for protein-protein interaction network analysis | 2016 | 82 |
| 2 | 2012 | 44 | |
| 3 | 2014 | 44 | |
| 4 | 2020 | 44 | |
| 5 | 2013 | 28 | |
| 6 | 2019 | 24 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 17 | |
| 9 | 2016 | 11 | |
| 10 | 2023 | 6 | |
| 11 | 2025 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2021 | 1 | |
| 18 | 2025 | 0 |
About Dániel V. Veres
Dániel V. Veres is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cell Biology, Oncology and Cancer Research, having authored 18 papers that have together received 346 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (6 papers), Computational Drug Discovery Methods (3 papers), Microtubule and mitosis dynamics (2 papers), Single-cell and spatial transcriptomics (2 papers), Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Aging (6 citations), Molecular Biology (231 citations), Cancer Research (46 citations), Computational Theory and Mathematics (42 citations) and Biophysics (14 citations). Dániel V. Veres has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Péter Csermely, Tamás Korcsmáros, Dávid Fazekas, Katalin Lenti, Dezső Módos, Péter Tompa, Eszter Hazai, Péter Ferdinandy, Francesco Piazza and Huba Kiss. Their work appears in journals such as npj Systems Biology and Applications, Seminars in Cancer Biology, The Journal of Physical Chemistry B, Schizophrenia Bulletin and British Journal of Pharmacology.
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.