Steven Wink

849 citations
20 papers · 518 · h-index 11

Impact in

Papers in

Steven Wink

20 papers receiving 517 citations

Peers

Steven Wink
Comparison fields: 5 of 81
  • Pharmacology 136
  • Computational Theory and Mathematics 96
  • Hepatology 48
  • Small Animals 37
  • Cancer Research 71
Replace Steven Hiemstra with:
Steven Hiemstra Netherlands
Maarten Coonen Netherlands
Marije Niemeijer Netherlands
Valerie Y. Soldatow United States
Angela J. Harris United States
Ming-Hsuang Cho United States
Malin Darnell Sweden
Jesper J. Hedberg Sweden
T Fox United States
Fatemeh Ahmadipour Malaysia
Steven Wink relative to Steven Hiemstra Netherlands Steven Hiemstra's profile →
Citations per field
00.5×1.5×2.3×
Steven Hiemstra · 1×
Citations per year

Countries citing papers authored by Steven Wink

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Steven Wink Line = papers co-authored together Steven Wink links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201471
2 201466
3 201960
4 201650
5 201548
6 201845
7 201940
8 202030
9 201627
10 201822
11 202119
12 202110
13 20198
14 20156
15 20194
16 20244
17 20223
18 20233
19
Systems microscopy to unravel cellular stress response signalling in drug induced liver injury
20151
20 20161

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.

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