Theodora M. Steindl
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 10%
- Pharmacology top 10%
- Pharmacology top 5%
- Co-authors
- Thierry LangerDaniela SchusterChristian LaggnerMaria Gabriella VigoritaRosanna MaccariRosaria OttanàDietmar RakowitzRosella Ciurleo
- Topics
- Computational Drug Discovery Methods (10 papers)Pharmacogenetics and Drug Metabolism (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Journals
- Journal of Medicinal ChemistryBioorganic & Medicinal ChemistryJournal of Chemical Information and Modeling
- Partner nations
- AustriaItalyUnited States
In The Last Decade
Theodora M. Steindl
17 papers receiving 844 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 491
- Computational Theory and Mathematics 376
- Organic Chemistry 272
- Pharmacology 154
- Pharmacology 108
Countries citing papers authored by Theodora M. Steindl
This map shows the geographic impact of Theodora M. Steindl'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 Theodora M. Steindl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theodora M. Steindl more than expected).
Fields of papers citing papers by Theodora M. Steindl
This network shows the impact of papers produced by Theodora M. Steindl. 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 Theodora M. Steindl. The network helps show where Theodora M. Steindl may publish in the future.
Co-authorship network of co-authors of Theodora M. Steindl
This figure shows the co-authorship network connecting the top 25 collaborators of Theodora M. Steindl. A scholar is included among the top collaborators of Theodora M. Steindl 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 Theodora M. Steindl. Theodora M. Steindl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 72 | |
| 2 | 102 | |
| 3 | 53 | |
| 4 | 36 | |
| 5 | 42 | |
| 6 | 31 | |
| 7 | 15 | |
| 8 | 2 | |
| 9 | 82 | |
| 10 | 75 | |
| 11 | 2 | |
| 12 | 109 | |
| 13 | 31 | |
| 14 | 19 | |
| 15 | 12 | |
| 16 | 147 | |
| 17 | 48 |
About Theodora M. Steindl
Theodora M. Steindl is a scholar working on Computational Theory and Mathematics, Pharmacology and Pharmacology, having authored 17 papers that have together received 878 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (376 citations), Pharmacology (108 citations) and Toxicology (41 citations). Theodora M. Steindl has collaborated with scholars based in Austria, Italy and United States. Frequent co-authors include Thierry Langer, Daniela Schuster, Christian Laggner, Maria Gabriella Vigorita, Rosanna Maccari, Rosaria Ottanà, Dietmar Rakowitz, Rosella Ciurleo, Anja Palusczak and Rolf W. Hartmann. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry and Journal of Chemical Information and Modeling.
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.