Dezső Módos
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Gut microbiota and health
- Single-cell and spatial transcriptomics
- Genomics, phytochemicals, and oxidative stress
- Gene expression and cancer classification
Papers in
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- Bioinformatics and Genomic Networks 18
- Gut microbiota and health 5
- Biomedical Text Mining and Ontologies 4
- Machine Learning in Bioinformatics 4
- Gene Regulatory Network Analysis 4
- Single-cell and spatial transcriptomics 3
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- Computational Drug Discovery Methods 9
- Co-authors
- Tamas Douglas Korcsmaros (29 shared papers)Dénes Türei (9 shared papers)Péter Csermely (11 shared papers)Katalin Lenti (13 shared papers)John P. Thomas (11 shared papers)Dávid Fazekas (10 shared papers)Lejla Gul (7 shared papers)Marton L. Olbei (10 shared papers)
- Journals
- Molecular Systems Biology (3 papers)Seminars in Cancer Biology (2 papers)Autophagy (2 papers)Frontiers in Immunology (2 papers)Computers in Biology and Medicine (2 papers)
- Partner nations
- United KingdomHungaryGermany
In The Last Decade
Dezső Módos
43 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 126
- Computational Theory and Mathematics 285
- Molecular Biology 1.0k
- Biophysics 66
- Cancer Research 152
- Pharmacology 60
Countries citing papers authored by Dezső Módos
This map shows the geographic impact of Dezső Módos'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 Dezső Módos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dezső Módos more than expected).
Fields of papers citing papers by Dezső Módos
This network shows the impact of papers produced by Dezső Módos. 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 Dezső Módos. The network helps show where Dezső Módos may publish in the future.
Co-authors
The 25 scholars most cited alongside Dezső Módos, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 243 | |
| 2 | 2021 | 214 | |
| 3 | 2013 | 158 | |
| 4 | 2022 | 127 | |
| 5 | 2012 | 98 | |
| 6 | 2018 | 93 | |
| 7 | 2021 | 87 | |
| 8 | 2022 | 84 | |
| 9 | 2015 | 83 | |
| 10 | 2021 | 52 | |
| 11 | Cancer stem cells display extremely large evolvability alternating plastic and rigid networks as a potential mechanism Network models, novel therapeutic target strategies, and the contributions of hypoxia, inflammation and cellular senescence | 2014 | 50 |
| 12 | 2014 | 45 | |
| 13 | 2013 | 41 | |
| 14 | 2013 | 30 | |
| 15 | 2021 | 27 | |
| 16 | 2015 | 23 | |
| 17 | 2022 | 21 | |
| 18 | 2017 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2021 | 14 |
About Dezső Módos
Dezső Módos is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Oncology and Genetics, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (18 papers), Computational Drug Discovery Methods (9 papers), Gut microbiota and health (5 papers), Inflammatory Bowel Disease (5 papers), Biomedical Text Mining and Ontologies (4 papers), Machine Learning in Bioinformatics (4 papers), Gene Regulatory Network Analysis (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (285 citations), Molecular Biology (1.0k citations), Biophysics (66 citations), Cancer Research (152 citations) and Pharmacology (60 citations). Dezső Módos has collaborated with scholars based in United Kingdom, Hungary and Germany. Frequent co-authors include Tamas Douglas Korcsmaros, Dénes Türei, Péter Csermely, Katalin Lenti, John P. Thomas, Dávid Fazekas, Lejla Gul, Marton L. Olbei, Nick Powell and Simon Rushbrook. Their work appears in journals such as Molecular Systems Biology, Seminars in Cancer Biology, Autophagy, Frontiers in Immunology and Computers in Biology and Medicine.
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.