Viktor Deineko
Impact in
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- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Receptor Mechanisms and Signaling
- Mitochondrial Function and Pathology
Papers in
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- Bioinformatics and Genomic Networks 5
- Microbial Metabolic Engineering and Bioproduction 2
- Protein Structure and Dynamics 2
- Fungal and yeast genetics research 2
- Mitochondrial Function and Pathology 2
- RNA and protein synthesis mechanisms 2
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- Cellular transport and secretion 2
- Co-authors
- Mohan Babu (7 shared papers)Alla G. Gagarinova (4 shared papers)Sadhna Phanse (5 shared papers)Andrew Emili (3 shared papers)Ashkan Golshani (3 shared papers)Bahram Samanfar (2 shared papers)Matthew Jessulat (4 shared papers)Ashwani Kumar (2 shared papers)
- Journals
- Cell Reports (2 papers)Journal of Proteome Research (1 paper)Molecular Biology of the Cell (1 paper)Nature Biotechnology (1 paper)Bioinformatics (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Viktor Deineko
13 papers receiving 390 citations
Peers
Comparison fields: 5 of 78
- Physiology 20
- Molecular Biology 297
- Cell Biology 70
- Genetics 74
- Molecular Medicine 13
Countries citing papers authored by Viktor Deineko
This map shows the geographic impact of Viktor Deineko'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 Viktor Deineko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Deineko more than expected).
Fields of papers citing papers by Viktor Deineko
This network shows the impact of papers produced by Viktor Deineko. 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 Viktor Deineko. The network helps show where Viktor Deineko may publish in the future.
Co-authors
The 25 scholars most cited alongside Viktor Deineko, 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 | 2017 | 101 | |
| 2 | 2017 | 59 | |
| 3 | 2017 | 41 | |
| 4 | 2014 | 37 | |
| 5 | 2016 | 36 | |
| 6 | 2016 | 31 | |
| 7 | 2015 | 29 | |
| 8 | 2015 | 23 | |
| 9 | 2014 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2023 | 4 | |
| 12 | 2016 | 3 | |
| 13 | 2006 | 1 |
About Viktor Deineko
Viktor Deineko is a scholar working on Molecular Biology, Cell Biology, Genetics, Physiology and Neurology, having authored 13 papers that have together received 394 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Bacterial Genetics and Biotechnology (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Protein Structure and Dynamics (2 papers), Fungal and yeast genetics research (2 papers), Mitochondrial Function and Pathology (2 papers), Cellular transport and secretion (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Physiology (20 citations), Molecular Biology (297 citations), Cell Biology (70 citations), Genetics (74 citations) and Molecular Medicine (13 citations). Viktor Deineko has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Mohan Babu, Alla G. Gagarinova, Sadhna Phanse, Andrew Emili, Ashkan Golshani, Bahram Samanfar, Matthew Jessulat, Ashwani Kumar, Natalia G. Beloglazova and James Vlasblom. Their work appears in journals such as Cell Reports, Journal of Proteome Research, Molecular Biology of the Cell, Nature Biotechnology and Bioinformatics.
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.