Marinka Žitnik
Impact in
- Health Informatics top 0.5%
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
Papers in
-
- Bioinformatics and Genomic Networks 24
- Biomedical Text Mining and Ontologies 13
- Gene expression and cancer classification 8
- Machine Learning in Bioinformatics 6
-
- Advanced Graph Neural Networks 11
- Topic Modeling 7
- Co-authors
- Jure Leskovec (17 shared papers)Blaž Zupan (19 shared papers)Monica Agrawal (1 shared paper)Kexin Huang (10 shared papers)Tomaž Curk (2 shared papers)Anna Goldenberg (2 shared papers)Bo Wang (2 shared papers)Payal Chandak (3 shared papers)
- Journals
- Bioinformatics (10 papers)Nature Machine Intelligence (5 papers)Nature Communications (4 papers)Scientific Data (3 papers)Cell Systems (3 papers)
- Partner nations
- United StatesSloveniaCanada
In The Last Decade
Marinka Žitnik
81 papers receiving 6.3k citations
Marinka Žitnik's Hit Papers
Peers
Comparison fields: 5 of 212
- Health Informatics 149
- Computational Theory and Mathematics 1.4k
- Artificial Intelligence 1.7k
- Molecular Biology 2.6k
- Biophysics 210
Countries citing papers authored by Marinka Žitnik
This map shows the geographic impact of Marinka Žitnik'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 Marinka Žitnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marinka Žitnik more than expected).
Fields of papers citing papers by Marinka Žitnik
This network shows the impact of papers produced by Marinka Žitnik. 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 Marinka Žitnik. The network helps show where Marinka Žitnik may publish in the future.
Co-authors
The 25 scholars most cited alongside Marinka Žitnik, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Orange: data mining toolbox in python Hit paper breakdown → | 2013 | 1250 |
| 2 | Modeling polypharmacy side effects with graph convolutional networks Hit paper breakdown → | 2018 | 815 |
| 3 | Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities Hit paper breakdown → | 2018 | 406 |
| 4 | Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19 Hit paper breakdown → | 2020 | 339 |
| 5 | DeepPurpose: a deep learning library for drug–target interaction prediction Hit paper breakdown → | 2020 | 317 |
| 6 | Predicting multicellular function through multi-layer tissue networks Hit paper breakdown → | 2017 | 299 |
| 7 | GNNExplainer: Generating Explanations for Graph Neural Networks. | 2019 | 228 |
| 8 | Building a knowledge graph to enable precision medicine Hit paper breakdown → | 2023 | 196 |
| 9 | 2018 | 183 | |
| 10 | 2014 | 157 | |
| 11 | Graph representation learning in biomedicine and healthcare Hit paper breakdown → | 2022 | 151 |
| 12 | Empowering biomedical discovery with AI agents Hit paper breakdown → | 2024 | 127 |
| 13 | 2015 | 120 | |
| 14 | 2019 | 106 | |
| 15 | 2021 | 99 | |
| 16 | 2022 | 98 | |
| 17 | 2016 | 96 | |
| 18 | 2020 | 95 | |
| 19 | 2022 | 94 | |
| 20 | A foundation model for clinician-centered drug repurposing Hit paper breakdown → | 2024 | 92 |
About Marinka Žitnik
Marinka Žitnik is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Biophysics and Computer Vision and Pattern Recognition, having authored 85 papers that have together received 6.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (24 papers), Computational Drug Discovery Methods (19 papers), Biomedical Text Mining and Ontologies (13 papers), Advanced Graph Neural Networks (11 papers), Gene expression and cancer classification (8 papers), Cell Image Analysis Techniques (8 papers), Topic Modeling (7 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Health Informatics (149 citations), Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (1.7k citations), Molecular Biology (2.6k citations) and Biophysics (210 citations). Marinka Žitnik has collaborated with scholars based in United States, Slovenia and Canada. Frequent co-authors include Jure Leskovec, Blaž Zupan, Monica Agrawal, Kexin Huang, Tomaž Curk, Anna Goldenberg, Bo Wang, Payal Chandak, Jimeng Sun and Cao Xiao. Their work appears in journals such as Bioinformatics, Nature Machine Intelligence, Nature Communications, Scientific Data and Cell Systems.
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.