Igor V. Deyneko
Impact in
- Biotechnology top 10%
- Cancer Research and Treatments
-
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
-
- RNA and protein synthesis mechanisms 5
- Hedgehog Signaling Pathway Studies 4
- Genomics and Chromatin Dynamics 4
- Genomics and Phylogenetic Studies 3
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- Immune Response and Inflammation 3
- T-cell and B-cell Immunology 2
- Co-authors
- Elena Tudor (4 shared papers)Sara Leschner (3 shared papers)Alexander Kel (4 shared papers)Siegfried Weiß (3 shared papers)Helmut Blöcker (3 shared papers)Svetlana Turcan (1 shared paper)A. A. Tyurin (3 shared papers)Holger Loessner (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)BMC Bioinformatics (3 papers)International Journal of Molecular Sciences (3 papers)Journal of Neuroimmunology (2 papers)PLoS ONE (2 papers)
- Partner nations
- GermanyRussiaAzerbaijan
In The Last Decade
Igor V. Deyneko
27 papers receiving 366 citations
Peers
Comparison fields: 5 of 78
- Biotechnology 48
- Immunology 69
- Molecular Biology 174
- Oncology 45
- Genetics 48
Countries citing papers authored by Igor V. Deyneko
This map shows the geographic impact of Igor V. Deyneko'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 Igor V. Deyneko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor V. Deyneko more than expected).
Fields of papers citing papers by Igor V. Deyneko
This network shows the impact of papers produced by Igor V. Deyneko. 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 Igor V. Deyneko. The network helps show where Igor V. Deyneko may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor V. Deyneko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 57 | |
| 2 | 2011 | 41 | |
| 3 | 2015 | 35 | |
| 4 | 2015 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2013 | 21 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 19 | |
| 9 | 2014 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2010 | 12 | |
| 13 | 2006 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2016 | 9 | |
| 16 | 2005 | 8 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2012 | 7 | |
| 20 | 2019 | 7 |
About Igor V. Deyneko
Igor V. Deyneko is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Oncology and Epidemiology, having authored 28 papers that have together received 375 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Genomics and Chromatin Dynamics (4 papers), Cancer-related Molecular Pathways (3 papers), Tuberculosis Research and Epidemiology (3 papers), Genomics and Phylogenetic Studies (3 papers), Immune Response and Inflammation (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biotechnology (48 citations), Immunology (69 citations), Molecular Biology (174 citations), Oncology (45 citations) and Genetics (48 citations). Igor V. Deyneko has collaborated with scholars based in Germany, Russia and Azerbaijan. Frequent co-authors include Elena Tudor, Sara Leschner, Alexander Kel, Siegfried Weiß, Helmut Blöcker, Svetlana Turcan, A. A. Tyurin, Holger Loessner, Stefan Lienenklaus and Dirk Bumann. Their work appears in journals such as Nucleic Acids Research, BMC Bioinformatics, International Journal of Molecular Sciences, Journal of Neuroimmunology and PLoS ONE.
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.