Daniela Digles

2.8k total citations · 1 hit paper
13 papers, 618 citations indexed

About

Daniela Digles is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Daniela Digles has authored 13 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Spectroscopy. Recurrent topics in Daniela Digles's work include Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (4 papers) and Analytical Chemistry and Chromatography (3 papers). Daniela Digles is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (4 papers) and Analytical Chemistry and Chromatography (3 papers). Daniela Digles collaborates with scholars based in Austria, Netherlands and United Kingdom. Daniela Digles's co-authors include Andra Waagmeester, Chris T. Evelo, Ryan A. Miller, Marvin Martens, Kristina Hanspers, Friederike Ehrhart, Alexander R. Pico, Martina Kutmon, Denise Slenter and Ammar Ammar and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and RSC Advances.

In The Last Decade

Daniela Digles

13 papers receiving 612 citations

Hit Papers

WikiPathways: connecting communities 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Digles Austria 6 404 128 91 76 56 13 618
Anders Riutta United States 4 583 1.4× 78 0.6× 133 1.5× 73 1.0× 79 1.4× 6 842
Paul Shapiro United States 18 469 1.2× 107 0.8× 71 0.8× 124 1.6× 38 0.7× 31 669
Marina Bessarabova United States 11 491 1.2× 164 1.3× 155 1.7× 75 1.0× 28 0.5× 13 697
Laurent Winckers Netherlands 3 348 0.9× 55 0.4× 91 1.0× 52 0.7× 56 1.0× 4 534
Jin-Mei Lai Taiwan 15 573 1.4× 106 0.8× 71 0.8× 146 1.9× 67 1.2× 21 792
Beste Turanlı Türkiye 16 500 1.2× 133 1.0× 141 1.5× 107 1.4× 138 2.5× 33 737
Anwesha Bohler Netherlands 4 450 1.1× 52 0.4× 84 0.9× 44 0.6× 42 0.8× 5 646
Lauren J. Dupuis Netherlands 5 363 0.9× 48 0.4× 91 1.0× 52 0.7× 56 1.0× 6 555
Emilia L. Lim Canada 10 519 1.3× 93 0.7× 225 2.5× 116 1.5× 74 1.3× 15 809
Jonathan Wagg Switzerland 8 480 1.2× 65 0.5× 44 0.5× 82 1.1× 27 0.5× 20 645

Countries citing papers authored by Daniela Digles

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniela Digles

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Digles. A scholar is included among the top collaborators of Daniela Digles based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Digles. Daniela Digles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Sosnin, Sergey, et al.. (2024). The macrocycle inhibitor landscape of SLC‐transporter. Molecular Informatics. 43(5). e202300287–e202300287. 3 indexed citations
2.
Huang, Jiahui, Aidan MacNamara, Anders Mälarstig, et al.. (2024). ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity prediction. RSC Advances. 14(19). 13083–13094. 1 indexed citations
3.
Martens, Marvin, Ammar Ammar, Anders Riutta, et al.. (2020). WikiPathways: connecting communities. Nucleic Acids Research. 49(D1). D613–D621. 507 indexed citations breakdown →
4.
Hemmerich, Jennifer, et al.. (2019). Accessing Public Compound Databases with KNIME. Current Medicinal Chemistry. 27(38). 6444–6457. 3 indexed citations
5.
Digles, Daniela, et al.. (2018). Accessing the Open PHACTS Discovery Platform with Workflow Tools. Methods in molecular biology. 1787. 183–193. 2 indexed citations
6.
Zdrazil, Barbara, et al.. (2016). Empowering pharmacoinformatics by linked life science data. Journal of Computer-Aided Molecular Design. 31(3). 319–328. 2 indexed citations
7.
Montanari, Floriane, Barbara Zdrazil, Daniela Digles, & Gerhard F. Ecker. (2016). Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learning. Journal of Cheminformatics. 8(1). 7–7. 24 indexed citations
8.
Konstantopoulos, Stasinos, et al.. (2016). Developing A Benchmark Suite For Semantic Web Data From Existing Workflows. Research Explorer (The University of Manchester). 1700. 1 indexed citations
9.
Gaulton, Anna, et al.. (2014). Transporter taxonomy – a comparison of different transport protein classification schemes. Drug Discovery Today Technologies. 12. e37–e46. 2 indexed citations
10.
Ratnam, Joseline, Barbara Zdrazil, Daniela Digles, et al.. (2014). The Application of the Open Pharmacological Concepts Triple Store (Open PHACTS) to Support Drug Discovery Research. PLoS ONE. 9(12). e115460–e115460. 23 indexed citations
11.
Chichester, Christine, Daniela Digles, Ronald Siebes, et al.. (2014). Drug discovery FAQs: workflows for answering multidomain drug discovery questions. Drug Discovery Today. 20(4). 399–405. 14 indexed citations
12.
Pinto, Marta, Daniela Digles, & Gerhard F. Ecker. (2014). Computational models for predicting the interaction with ABC transporters. Drug Discovery Today Technologies. 12. e69–e77. 12 indexed citations
13.
Digles, Daniela & Gerhard F. Ecker. (2011). Self‐Organizing Maps for In Silico Screening and Data Visualization. Molecular Informatics. 30(10). 838–846. 24 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026