Igor V. Deyneko
Impact in
- Biotechnology top 10%
- Cancer Research and Treatments
-
- Immune Response and Inflammation
Papers in
-
- RNA and protein synthesis mechanisms 7
- Genomics and Phylogenetic Studies 4
- Genomics and Chromatin Dynamics 4
- Hedgehog Signaling Pathway Studies 4
- RNA Research and Splicing 3
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- Tuberculosis Research and Epidemiology 4
- Co-authors
- Elena Tudor (4 shared papers)Alexander Kel (4 shared papers)Sara Leschner (3 shared papers)Siegfried Weiß (3 shared papers)Helmut Blöcker (3 shared papers)Svetlana Turcan (1 shared paper)Siegfried Weiss (1 shared paper)Stefan Lienenklaus (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)International Journal of Molecular Sciences (3 papers)Nucleic Acids Research (3 papers)Journal of Neuroimmunology (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- GermanyRussiaAzerbaijan
In The Last Decade
Igor V. Deyneko
27 papers receiving 357 citations
Peers
Comparison fields: 5 of 80
- Biotechnology 51
- Immunology 80
- Molecular Biology 193
- Genetics 64
- Infectious Diseases 36
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 57 | |
| 2 | 2011 | 40 | |
| 3 | 2015 | 35 | |
| 4 | 2015 | 23 | |
| 5 | 2013 | 21 | |
| 6 | 2018 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2018 | 17 | |
| 9 | 2014 | 17 | |
| 10 | 2010 | 12 | |
| 11 | 2018 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2006 | 11 | |
| 14 | 2018 | 11 | |
| 15 | 2016 | 9 | |
| 16 | 2005 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2012 | 7 | |
| 20 | 2019 | 6 |
About Igor V. Deyneko
Igor V. Deyneko is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Oncology, having authored 27 papers that have together received 366 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (4 papers), Tuberculosis Research and Epidemiology (4 papers), Genomics and Chromatin Dynamics (4 papers), Hedgehog Signaling Pathway Studies (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer Research and Treatments (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Biotechnology (51 citations), Immunology (80 citations), Molecular Biology (193 citations), Genetics (64 citations) and Infectious Diseases (36 citations). Igor V. Deyneko has collaborated with scholars based in Germany, Russia and Azerbaijan. Frequent co-authors include Elena Tudor, Alexander Kel, Sara Leschner, Siegfried Weiß, Helmut Blöcker, Svetlana Turcan, Siegfried Weiss, Stefan Lienenklaus, A. A. Tyurin and Dirk Bumann. Their work appears in journals such as BMC Bioinformatics, International Journal of Molecular Sciences, Nucleic Acids Research, Journal of Neuroimmunology and Frontiers in Genetics.
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.