Steven Wink
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
-
- Computational Drug Discovery Methods
Papers in
-
- Genomics, phytochemicals, and oxidative stress 6
- Viral Infectious Diseases and Gene Expression in Insects 3
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- Computational Drug Discovery Methods 7
- Co-authors
- Bob van de Water (18 shared papers)Steven Hiemstra (8 shared papers)Bram Herpers (4 shared papers)Hans de Bont (5 shared papers)Harry Vrieling (2 shared papers)Marije Niemeijer (5 shared papers)Erik H.J. Danen (2 shared papers)Lisa Fredriksson (2 shared papers)
- Journals
- Archives of Toxicology (4 papers)Chemical Research in Toxicology (2 papers)Toxicology in Vitro (2 papers)Biochemical Pharmacology (2 papers)Liver International (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Steven Wink
20 papers receiving 517 citations
Peers
Comparison fields: 5 of 81
- Pharmacology 136
- Computational Theory and Mathematics 96
- Hepatology 48
- Small Animals 37
- Cancer Research 71
Countries citing papers authored by Steven Wink
This map shows the geographic impact of Steven Wink'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 Steven Wink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Wink more than expected).
Fields of papers citing papers by Steven Wink
This network shows the impact of papers produced by Steven Wink. 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 Steven Wink. The network helps show where Steven Wink may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Wink, 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 | 2014 | 71 | |
| 2 | 2014 | 66 | |
| 3 | 2019 | 60 | |
| 4 | 2016 | 50 | |
| 5 | 2015 | 48 | |
| 6 | 2018 | 45 | |
| 7 | 2019 | 40 | |
| 8 | 2020 | 30 | |
| 9 | 2016 | 27 | |
| 10 | 2018 | 22 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 8 | |
| 14 | 2015 | 6 | |
| 15 | 2019 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 3 | |
| 19 | Systems microscopy to unravel cellular stress response signalling in drug induced liver injury | 2015 | 1 |
| 20 | 2016 | 1 |
About Steven Wink
Steven Wink is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Cell Biology and Cancer Research, having authored 20 papers that have together received 518 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), MicroRNA in disease regulation (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Pharmacology (136 citations), Computational Theory and Mathematics (96 citations), Hepatology (48 citations), Small Animals (37 citations) and Cancer Research (71 citations). Steven Wink has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Bob van de Water, Steven Hiemstra, Bram Herpers, Hans de Bont, Harry Vrieling, Marije Niemeijer, Erik H.J. Danen, Lisa Fredriksson, John H.N. Meerman and Esmee Koedoot. Their work appears in journals such as Archives of Toxicology, Chemical Research in Toxicology, Toxicology in Vitro, Biochemical Pharmacology and Liver International.
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.