Ivan Rusyn
- Health, Toxicology and Mutagenesis top 0.2%
- Effects and risks of endocrine disrupting chemicals 34
- Toxic Organic Pollutants Impact 24
- Cancer Research top 0.5%
- Carcinogens and Genotoxicity Assessment 58
- Hepatology top 0.5%
- Pharmacology top 0.1%
- Small Animals top 0.2%
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- Liver Disease Diagnosis and Treatment 44
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- Computational Drug Discovery Methods 36
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- Peroxisome Proliferator-Activated Receptors 32
- Epigenetics and DNA Methylation 24
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- Alcohol Consumption and Health Effects 29
- Co-authors
- Igor P. PogribnyWeihsueh A. ChiuRonald G. ThurmanHiroshi KonoBlair U. BradfordFred A. WrightKathryn Z. GuytonVolodymyr Tryndyak
- Journals
- Toxicological Sciences (37 papers)Environmental Health Perspectives (21 papers)Toxicology and Applied Pharmacology (20 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Ivan Rusyn
313 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Health, Toxicology and Mutagenesis 2.3k
- Cancer Research 2.1k
- Hepatology 1.1k
- Pharmacology 1.2k
- Small Animals 728
Countries citing papers authored by Ivan Rusyn
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 7 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 7 | |
| 12 | 2022 | 12 | |
| 13 | 2019 | 22 | |
| 14 | 2018 | 11 | |
| 15 | 2017 | 26 | |
| 16 | 2014 | 1 | |
| 17 | 2013 | 94 | |
| 18 | 2010 | 1 | |
| 19 | 2010 | 48 | |
| 20 | 2001 | 12 |
About Ivan Rusyn
Ivan Rusyn is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Pharmacology, having authored 327 papers that have together received 12.6k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (58 papers), Liver Disease Diagnosis and Treatment (44 papers), Computational Drug Discovery Methods (36 papers), Effects and risks of endocrine disrupting chemicals (34 papers), Peroxisome Proliferator-Activated Receptors (32 papers), Alcohol Consumption and Health Effects (29 papers), Toxic Organic Pollutants Impact (24 papers) and Epigenetics and DNA Methylation (24 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.3k citations), Cancer Research (2.1k citations) and Hepatology (1.1k 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, Volodymyr Tryndyak, Alexander Tropsha and Frederick A. Beland. Their work appears in journals such as Toxicological Sciences, Environmental Health Perspectives, Toxicology and Applied Pharmacology, Hepatology and Toxics.
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.