Martin Smieško
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 5%
- Pharmacology top 2%
- Spectroscopy top 5%
- Co-authors
- Angelo VedaniAndré FischerBeat ErnstMarkus A. LillManuel SellnerMax DoblerMatthias HamburgerBrian Cutting
- Topics
- Computational Drug Discovery Methods (32 papers)Pharmacogenetics and Drug Metabolism (17 papers)Analytical Chemistry and Chromatography (11 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionNature Communications
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Martin Smieško
98 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.0k
- Computational Theory and Mathematics 560
- Organic Chemistry 445
- Pharmacology 261
- Spectroscopy 163
Countries citing papers authored by Martin Smieško
This map shows the geographic impact of Martin Smieško'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 Martin Smieško with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Smieško more than expected).
Fields of papers citing papers by Martin Smieško
This network shows the impact of papers produced by Martin Smieško. 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 Martin Smieško. The network helps show where Martin Smieško may publish in the future.
Co-authorship network of co-authors of Martin Smieško
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Smieško. A scholar is included among the top collaborators of Martin Smieško 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 Martin Smieško. Martin Smieško is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 123 | |
| 14 | 5 | |
| 15 | 39 | |
| 16 | 30 | |
| 17 | 37 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | 14 |
About Martin Smieško
Martin Smieško is a scholar working on Pharmacology, Computational Theory and Mathematics and Endocrinology, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (32 papers), Pharmacogenetics and Drug Metabolism (17 papers) and Analytical Chemistry and Chromatography (11 papers). The work is most often cited by research in Computational Theory and Mathematics (560 citations), Pharmacology (261 citations) and Endocrinology (128 citations). Martin Smieško has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Angelo Vedani, André Fischer, Beat Ernst, Markus A. Lill, Manuel Sellner, Max Dobler, Matthias Hamburger, Brian Cutting, Said Rabbani and Oliver Schwardt. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.
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.