Barbara Zdrazil
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Oncology
- Cellular and Molecular Neuroscience top 10%
- Organic Chemistry
- Co-authors
- Gerhard F. EckerRajarshi GuhaAndrew R. LeachEloy FélixFiona HunterNicolas BoscMarleen De VeijAnna Gaulton
- Topics
- Computational Drug Discovery Methods (27 papers)Drug Transport and Resistance Mechanisms (13 papers)Bioinformatics and Genomic Networks (10 papers)
- Partner nations
- AustriaUnited KingdomGermany
In The Last Decade
Barbara Zdrazil
46 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 616
- Computational Theory and Mathematics 468
- Oncology 174
- Cellular and Molecular Neuroscience 137
- Organic Chemistry 107
Countries citing papers authored by Barbara Zdrazil
This map shows the geographic impact of Barbara Zdrazil'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 Barbara Zdrazil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Zdrazil more than expected).
Fields of papers citing papers by Barbara Zdrazil
This network shows the impact of papers produced by Barbara Zdrazil. 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 Barbara Zdrazil. The network helps show where Barbara Zdrazil may publish in the future.
Co-authorship network of co-authors of Barbara Zdrazil
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Zdrazil. A scholar is included among the top collaborators of Barbara Zdrazil 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 Barbara Zdrazil. Barbara Zdrazil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periodsbreakdown → | 469 |
| 5 | 30 | |
| 6 | 20 | |
| 7 | 30 | |
| 8 | 8 | |
| 9 | 21 | |
| 10 | 25 | |
| 11 | 2 | |
| 12 | 24 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 26 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 110 |
About Barbara Zdrazil
Barbara Zdrazil is a scholar working on Computational Theory and Mathematics, Pharmacology and Pharmacology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Drug Transport and Resistance Mechanisms (13 papers) and Bioinformatics and Genomic Networks (10 papers). The work is most often cited by research in Computational Theory and Mathematics (468 citations), Toxicology (33 citations) and Pharmacology (83 citations). Barbara Zdrazil has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Gerhard F. Ecker, Rajarshi Guha, Andrew R. Leach, Eloy Félix, Fiona Hunter, Nicolas Bosc, Marleen De Veij, Anna Gaulton, Tevfik Kizilören and María Paula Magariños. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.
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.