Daniela Schuster
- Pharmacology top 0.1%
- Pharmacogenetics and Drug Metabolism 33
- Inflammatory mediators and NSAID effects 23
- Pharmacological Effects of Natural Compounds 16
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 44
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 33
- Inflammatory mediators and NSAID effects 23
- Pharmacological Effects of Natural Compounds 16
- Toxicology top 0.5%
- Biochemistry top 1%
-
- Hormonal Regulation and Hypertension 29
-
- Estrogen and related hormone effects 25
-
- Receptor Mechanisms and Signaling 16
- Natural product bioactivities and synthesis 16
- Co-authors
- Thierry LangerHermann StuppnerJudith M. RollingerChristian LaggnerVeronika TemmlAtanas G. AtanasovBirgit WaltenbergerGerhard Wolber
- Journals
- Journal of Chemical Information and Modeling (13 papers)Planta Medica (13 papers)European Journal of Medicinal Chemistry (12 papers)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Daniela Schuster
173 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Pharmacology 1.3k
- Computational Theory and Mathematics 1.5k
- Pharmacology 1.5k
- Toxicology 288
- Biochemistry 377
Countries citing papers authored by Daniela Schuster
This map shows the geographic impact of Daniela Schuster'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 Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Schuster more than expected).
Fields of papers citing papers by Daniela Schuster
This network shows the impact of papers produced by Daniela Schuster. 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 Schuster. The network helps show where Daniela Schuster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Schuster, 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 | 2024 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 9 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 10 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 9 | |
| 12 | 2014 | 74 | |
| 13 | 2014 | 33 | |
| 14 | 2013 | 9 | |
| 15 | 2013 | 12 | |
| 16 | 2011 | 2 | |
| 17 | 2009 | 82 | |
| 18 | 2007 | 53 | |
| 19 | 2006 | 57 | |
| 20 | 2005 | 67 |
About Daniela Schuster
Daniela Schuster is a scholar working on Pharmacology, Toxicology and Pharmacology, having authored 180 papers that have together received 7.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (44 papers), Pharmacogenetics and Drug Metabolism (33 papers), Hormonal Regulation and Hypertension (29 papers), Estrogen and related hormone effects (25 papers), Inflammatory mediators and NSAID effects (23 papers), Pharmacological Effects of Natural Compounds (16 papers), Receptor Mechanisms and Signaling (16 papers) and Natural product bioactivities and synthesis (16 papers). The work is most often cited by research in Pharmacology (1.3k citations), Computational Theory and Mathematics (1.5k citations) and Pharmacology (1.5k citations). Daniela Schuster has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Thierry Langer, Hermann Stuppner, Judith M. Rollinger, Christian Laggner, Veronika Temml, Atanas G. Atanasov, Birgit Waltenberger, Gerhard Wolber, Alex Odermatt and Verena M. Dirsch. Their work appears in journals such as Journal of Chemical Information and Modeling, Planta Medica, European Journal of Medicinal Chemistry, Journal of Natural Products and Journal of Medicinal Chemistry.
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.