Daniela Digles
Impact in
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- Computational Drug Discovery Methods
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- Cancer-related molecular mechanisms research
Papers in ⓘ
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- Bioinformatics and Genomic Networks 4
- Biomedical Text Mining and Ontologies 3
- Machine Learning in Bioinformatics 2
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- Computational Drug Discovery Methods 6
- Co-authors
- Chris T. Evelo (2 shared papers)Andra Waagmeester (2 shared papers)Marvin Martens (1 shared paper)Alexander R. Pico (1 shared paper)Susan L. Coort (1 shared paper)Martina Kutmon (1 shared paper)Ryan A. Miller (1 shared paper)Egon Willighagen (1 shared paper)
- Journals
- Drug Discovery Today Technologies (2 papers)Molecular Informatics (2 papers)RSC Advances (1 paper)Journal of Computer-Aided Molecular Design (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- AustriaNetherlandsUnited Kingdom
In The Last Decade
Daniela Digles
13 papers receiving 612 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 128
- Cancer Research 91
- Biological Psychiatry 15
- Molecular Biology 404
- Neurology 24
Countries citing papers authored by Daniela Digles
This map shows the geographic impact of Daniela Digles'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 Daniela Digles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Digles more than expected).
Fields of papers citing papers by Daniela Digles
This network shows the impact of papers produced by Daniela Digles. 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 Daniela Digles. The network helps show where Daniela Digles may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Digles, 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 | WikiPathways: connecting communities Hit paper breakdown → | 2020 | 507 |
| 2 | 2016 | 24 | |
| 3 | 2011 | 24 | |
| 4 | 2014 | 23 | |
| 5 | 2014 | 14 | |
| 6 | 2014 | 12 | |
| 7 | 2024 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2014 | 2 | |
| 10 | 2016 | 2 | |
| 11 | 2018 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2016 | 1 |
About Daniela Digles
Daniela Digles is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Oncology and Pharmacology, having authored 13 papers that have together received 618 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (4 papers), Analytical Chemistry and Chromatography (3 papers), Biomedical Text Mining and Ontologies (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Machine Learning in Bioinformatics (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Computational Theory and Mathematics (128 citations), Cancer Research (91 citations), Biological Psychiatry (15 citations), Molecular Biology (404 citations) and Neurology (24 citations). Daniela Digles has collaborated with scholars based in Austria, Netherlands and United Kingdom. Frequent co-authors include Chris T. Evelo, Andra Waagmeester, Marvin Martens, Alexander R. Pico, Susan L. Coort, Martina Kutmon, Ryan A. Miller, Egon Willighagen, Denise Slenter and Laurent Winckers. Their work appears in journals such as Drug Discovery Today Technologies, Molecular Informatics, RSC Advances, Journal of Computer-Aided Molecular Design and Drug Discovery Today.
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.