Daniela Digles
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Single-cell and spatial transcriptomics
- Biomedical Text Mining and Ontologies
Papers in
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- Computational Drug Discovery Methods 9
- Oncology 4
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Chris T. Evelo (4 shared papers)Andra Waagmeester (4 shared papers)Martina Kutmon (3 shared papers)Egon Willighagen (3 shared papers)Ammar Ammar (1 shared paper)Denise Slenter (2 shared papers)Friederike Ehrhart (2 shared papers)Marvin Martens (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Drug Discovery Today Technologies (2 papers)Frontiers in Pharmacology (2 papers)MedChemComm (1 paper)F1000Research (1 paper)
- Partner nations
- AustriaNetherlandsUnited Kingdom
In The Last Decade
Daniela Digles
23 papers receiving 1.8k citations
Daniela Digles's Hit Papers
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 151
- Molecular Biology 490
- Aging 6
- Cancer Research 53
- Biochemistry 16
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research Hit paper breakdown → | 2017 | 670 |
| 2 | WikiPathways: connecting communities Hit paper breakdown → | 2020 | 587 |
| 3 | WikiPathways 2024: next generation pathway database Hit paper breakdown → | 2023 | 229 |
| 4 | 2020 | 82 | |
| 5 | 2021 | 53 | |
| 6 | 2014 | 30 | |
| 7 | 2011 | 26 | |
| 8 | 2016 | 25 | |
| 9 | 2014 | 20 | |
| 10 | 2014 | 20 | |
| 11 | 2014 | 15 | |
| 12 | 2016 | 15 | |
| 13 | 2025 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2018 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2014 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2016 | 2 |
About Daniela Digles
Daniela Digles is a scholar working on Computational Theory and Mathematics, Oncology, Molecular Biology, Artificial Intelligence and Genetics, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Bioinformatics and Genomic Networks (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Semantic Web and Ontologies (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Computational Theory and Mathematics (151 citations), Molecular Biology (490 citations), Aging (6 citations), Cancer Research (53 citations) and Biochemistry (16 citations). Daniela Digles has collaborated with scholars based in Austria, Netherlands and United Kingdom. Frequent co-authors include Chris T. Evelo, Andra Waagmeester, Martina Kutmon, Egon Willighagen, Ammar Ammar, Denise Slenter, Friederike Ehrhart, Marvin Martens, Susan L. Coort and Lauren J. Dupuis. Their work appears in journals such as Nucleic Acids Research, Drug Discovery Today Technologies, Frontiers in Pharmacology, MedChemComm and F1000Research.
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.