Roman M. Levytskyy
Impact in
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- Metabolism and Genetic Disorders
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- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Ubiquitin and proteasome pathways
Papers in
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- Mitochondrial Function and Pathology 5
- ATP Synthase and ATPases Research 2
- Signaling Pathways in Disease 1
- Oncology 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Oleh Khalimonchuk (6 shared papers)Lie Min (1 shared paper)Amy H. Andreotti (1 shared paper)Constantine D. Tsoukas (2 shared papers)Iryna Bohovych (1 shared paper)Martônio Ponte Viana (3 shared papers)Andreas S. Reichert (1 shared paper)Ruchika Anand (1 shared paper)
- Journals
- iScience (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)Biochemistry (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
Roman M. Levytskyy
11 papers receiving 346 citations
Peers
Comparison fields: 5 of 76
- Clinical Biochemistry 35
- Molecular Biology 216
- Virology 14
- Infectious Diseases 51
- Animal Science and Zoology 20
Countries citing papers authored by Roman M. Levytskyy
This map shows the geographic impact of Roman M. Levytskyy'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 Roman M. Levytskyy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman M. Levytskyy more than expected).
Fields of papers citing papers by Roman M. Levytskyy
This network shows the impact of papers produced by Roman M. Levytskyy. 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 Roman M. Levytskyy. The network helps show where Roman M. Levytskyy may publish in the future.
Co-authors
The 25 scholars most cited alongside Roman M. Levytskyy, 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 | 2012 | 106 | |
| 2 | 2020 | 66 | |
| 3 | 2017 | 44 | |
| 4 | 2016 | 41 | |
| 5 | 2021 | 29 | |
| 6 | 2016 | 29 | |
| 7 | 2019 | 19 | |
| 8 | Correlation between generation of nitric oxide and cell viability in human peripheral blood mononuclear cells and leukemic Jurkat T-cell line. | 2004 | 9 |
| 9 | 2023 | 6 | |
| 10 | 2012 | 3 | |
| 11 | 2018 | 1 |
About Roman M. Levytskyy
Roman M. Levytskyy is a scholar working on Molecular Biology, Oncology, Clinical Biochemistry, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 11 papers that have together received 353 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Metabolism and Genetic Disorders (2 papers), Alzheimer's disease research and treatments (2 papers), ATP Synthase and ATPases Research (2 papers), Signaling Pathways in Disease (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Clinical Biochemistry (35 citations), Molecular Biology (216 citations), Virology (14 citations), Infectious Diseases (51 citations) and Animal Science and Zoology (20 citations). Roman M. Levytskyy has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Oleh Khalimonchuk, Lie Min, Amy H. Andreotti, Constantine D. Tsoukas, Iryna Bohovych, Martônio Ponte Viana, Andreas S. Reichert, Ruchika Anand, Mihalis I. Panayiotidis and Shulei Lei. Their work appears in journals such as iScience, Scientific Reports, Nature Communications, Biochemistry and The FASEB Journal.
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.