Θεοδώρα Κάτσιλα
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 13
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- Computational Drug Discovery Methods 7
- Genetics top 10%
- Genomics and Rare Diseases 11
- Hemoglobinopathies and Related Disorders 8
- Genetics top 10%
- Genomics and Rare Diseases 11
- Hemoglobinopathies and Related Disorders 8
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- Cancer Genomics and Diagnostics 9
- Cancer, Hypoxia, and Metabolism 6
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- Bioinformatics and Genomic Networks 8
- Metabolomics and Mass Spectrometry Studies 7
- Co-authors
- George P. PatrinosMinos–Timotheos MatsoukasGeorgios A. SpyrouliasConstantin TamvakopoulosAlexandros SiskosCristiana PavlidisKonstantinos MitropoulosChristina Mitropoulou
- Journals
- OMICS A Journal of Integrative Biology (11 papers)Pharmacogenomics (9 papers)Public Health Genomics (4 papers)
- Partner nations
- GreeceUnited Arab EmiratesNetherlands
In The Last Decade
Θεοδώρα Κάτσιλα
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Pharmacology 218
- Computational Theory and Mathematics 212
- Genetics 293
- Genetics 106
- Cancer Research 149
Countries citing papers authored by Θεοδώρα Κάτσιλα
This map shows the geographic impact of Θεοδώρα Κάτσιλα'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 Θεοδώρα Κάτσιλα with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Θεοδώρα Κάτσιλα more than expected).
Fields of papers citing papers by Θεοδώρα Κάτσιλα
This network shows the impact of papers produced by Θεοδώρα Κάτσιλα. 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 Θεοδώρα Κάτσιλα. The network helps show where Θεοδώρα Κάτσιλα may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Θεοδώρα Κάτσιλα, 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 | 2023 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 3 | |
| 9 | 2020 | 3 | |
| 10 | 2018 | 20 | |
| 11 | 2018 | 10 | |
| 12 | 2018 | 28 | |
| 13 | 2018 | 11 | |
| 14 | 2017 | 28 | |
| 15 | 2017 | 8 | |
| 16 | 2016 | 251 | |
| 17 | 2016 | 10 | |
| 18 | 2016 | 22 | |
| 19 | 2015 | 29 | |
| 20 | 2014 | 22 |
About Θεοδώρα Κάτσιλα
Θεοδώρα Κάτσιλα is a scholar working on Pharmacology, Cancer Research and Genetics, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (13 papers), Genomics and Rare Diseases (11 papers), Cancer Genomics and Diagnostics (9 papers), Hemoglobinopathies and Related Disorders (8 papers), Bioinformatics and Genomic Networks (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Computational Drug Discovery Methods (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Pharmacology (218 citations), Computational Theory and Mathematics (212 citations) and Genetics (293 citations). Θεοδώρα Κάτσιλα has collaborated with scholars based in Greece, United Arab Emirates and Netherlands. Frequent co-authors include George P. Patrinos, Minos–Timotheos Matsoukas, Georgios A. Spyroulias, Constantin Tamvakopoulos, Alexandros Siskos, Cristiana Pavlidis, Konstantinos Mitropoulos, Christina Mitropoulou, Dimitrios Kardamakis and Evangelia Eirini Tsermpini. Their work appears in journals such as OMICS A Journal of Integrative Biology, Pharmacogenomics, Public Health Genomics, Blood and Cancers.
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.