Antonina Silkov
Impact in
-
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Genomics and Chromatin Dynamics
- Lipid Membrane Structure and Behavior
- RNA Research and Splicing
- Photosynthetic Processes and Mechanisms
- Protein Kinase Regulation and GTPase Signaling
-
- Cellular transport and secretion
Papers in
-
- RNA and protein synthesis mechanisms 3
- Protein Structure and Dynamics 3
- PI3K/AKT/mTOR signaling in cancer 1
- Machine Learning in Bioinformatics 1
-
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Barry Honig (7 shared papers)Trevor Siggers (1 shared paper)Rivka Dikstein (3 shared papers)Wonhwa Cho (4 shared papers)Orit Wolstein (2 shared papers)Ren Sheng (2 shared papers)Morten Källberg (1 shared paper)Nitin Bhardwaj (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Developmental Cell (1 paper)Molecular Cell (1 paper)Science Immunology (1 paper)Current Opinion in Structural Biology (1 paper)
- Partner nations
- United StatesSouth KoreaIsrael
In The Last Decade
Antonina Silkov
12 papers receiving 311 citations
Peers
Comparison fields: 5 of 52
- Molecular Biology 263
- Cell Biology 57
- Immunology 41
- Computational Theory and Mathematics 21
- Cellular and Molecular Neuroscience 20
Countries citing papers authored by Antonina Silkov
This map shows the geographic impact of Antonina Silkov'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 Antonina Silkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonina Silkov more than expected).
Fields of papers citing papers by Antonina Silkov
This network shows the impact of papers produced by Antonina Silkov. 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 Antonina Silkov. The network helps show where Antonina Silkov may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonina Silkov, 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 | 2004 | 56 | |
| 2 | 2012 | 53 | |
| 3 | 2014 | 40 | |
| 4 | 2015 | 33 | |
| 5 | 2016 | 30 | |
| 6 | 2011 | 20 | |
| 7 | 2000 | 18 | |
| 8 | 2002 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2001 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2010 | 7 |
About Antonina Silkov
Antonina Silkov is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Materials Chemistry, having authored 12 papers that have together received 311 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), NF-κB Signaling Pathways (3 papers), Protein Structure and Dynamics (3 papers), Enzyme Structure and Function (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (263 citations), Cell Biology (57 citations), Immunology (41 citations), Computational Theory and Mathematics (21 citations) and Cellular and Molecular Neuroscience (20 citations). Antonina Silkov has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Barry Honig, Trevor Siggers, Rivka Dikstein, Wonhwa Cho, Orit Wolstein, Ren Sheng, Morten Källberg, Nitin Bhardwaj, Yong Chen and Randy A. Hall. Their work appears in journals such as Journal of Biological Chemistry, Developmental Cell, Molecular Cell, Science Immunology and Current Opinion in Structural Biology.
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.