Ivan Rusyn

26.2k citations
331 papers · 12.8k · h-index 64

Impact in

Papers in

Ivan Rusyn

318 papers receiving 12.6k citations

Peers

Ivan Rusyn
Comparison fields: 5 of 190
  • Health, Toxicology and Mutagenesis 2.2k
  • Cancer Research 1.9k
  • Hepatology 963
  • Pharmacology 1.1k
  • Small Animals 658
Replace James E. Klaunig with:
James E. Klaunig United States
Robert R. Maronpot United States
Keith A. Houck United States
Gary M. Williams United States
Peter J. O’Brien Canada
Shoji Fukushima Japan
Alan R. Boobis United Kingdom
José V. Castell Spain
Helmut Greim Germany
Hyung Sik Kim South Korea
Ivan Rusyn relative to James E. Klaunig United States James E. Klaunig's profile →
Citations per field
00.5×2.9×
James E. Klaunig · 1×
Citations per year

Countries citing papers authored by Ivan Rusyn

Since Specialization
Citations

This map shows the geographic impact of Ivan Rusyn'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 Ivan Rusyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Rusyn more than expected).

Fields of papers citing papers by Ivan Rusyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Rusyn. 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 Ivan Rusyn. The network helps show where Ivan Rusyn may publish in the future.

Co-authors

The 25 scholars most cited alongside Ivan Rusyn, 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 Ivan Rusyn Line = papers co-authored together Ivan Rusyn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 331 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015440
2 2000402
3 2013351
4 2006250
5 2006220
6 2011165
7 2010161
8 2012147
9 1999147
10 2009145
11 2009137
12 2001134
13 2005130
14 2000125
15 1999123
16 2012123
17 2016122
18 2018121
19 2014120
20 2008114

About Ivan Rusyn

Ivan Rusyn is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Epidemiology and Computational Theory and Mathematics, having authored 331 papers that have together received 12.8k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (54 papers), Liver Disease Diagnosis and Treatment (40 papers), Computational Drug Discovery Methods (31 papers), Peroxisome Proliferator-Activated Receptors (30 papers), Alcohol Consumption and Health Effects (29 papers), Effects and risks of endocrine disrupting chemicals (29 papers), Toxic Organic Pollutants Impact (24 papers) and 3D Printing in Biomedical Research (23 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.2k citations), Cancer Research (1.9k citations), Hepatology (963 citations), Pharmacology (1.1k citations) and Small Animals (658 citations). Ivan Rusyn has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Igor P. Pogribny, Weihsueh A. Chiu, Ronald G. Thurman, Hiroshi Kono, Blair U. Bradford, Fred A. Wright, Kathryn Z. Guyton, Alexander Tropsha, Volodymyr Tryndyak and Frederick A. Beland. Their work appears in journals such as Toxicological Sciences, Environmental Health Perspectives, Toxicology and Applied Pharmacology, Hepatology and Toxicology.

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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