Fedor V. Karginov
- Cancer Research top 2%
- MicroRNA in disease regulation 8
- Molecular Biology top 5%
- RNA Research and Splicing 15
- RNA and protein synthesis mechanisms 13
- RNA modifications and cancer 11
- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 2
- Aging top 10%
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- interferon and immune responses 2
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- Bacterial Genetics and Biotechnology 3
- Co-authors
- Gregory J. HannonJoel S. ParkerOlke C. UhlenbeckAndrew D. SmithBryan H. Thurtle-SchmidtCecilia ConacoZhenyu XuanGail Mandel
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Fedor V. Karginov
27 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 827
- Molecular Biology 1.8k
- Aging 21
- Business and International Management 18
- Immunology 144
Countries citing papers authored by Fedor V. Karginov
This map shows the geographic impact of Fedor V. Karginov'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 Fedor V. Karginov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fedor V. Karginov more than expected).
Fields of papers citing papers by Fedor V. Karginov
This network shows the impact of papers produced by Fedor V. Karginov. 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 Fedor V. Karginov. The network helps show where Fedor V. Karginov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fedor V. Karginov, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2020 | 40 | |
| 5 | 2019 | 14 | |
| 6 | 2018 | 27 | |
| 7 | 2017 | 4 | |
| 8 | 2017 | 22 | |
| 9 | 2017 | 1 | |
| 10 | 2016 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2013 | 128 | |
| 13 | 2012 | 224 | |
| 14 | 2010 | 153 | |
| 15 | 2010 | 284 | |
| 16 | 2009 | 98 | |
| 17 | The miR-17 similar to 92 cluster collaborates with the Sonic Hedgehog pathway in medulloblastoma | 2009 | 1 |
| 18 | 2007 | 307 | |
| 19 | 2004 | 29 | |
| 20 | 2002 | 91 |
About Fedor V. Karginov
Fedor V. Karginov is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 28 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (15 papers), RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (11 papers), MicroRNA in disease regulation (8 papers), CRISPR and Genetic Engineering (4 papers), Bacterial Genetics and Biotechnology (3 papers), interferon and immune responses (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Cancer Research (827 citations), Molecular Biology (1.8k citations) and Aging (21 citations). Fedor V. Karginov has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Gregory J. Hannon, Joel S. Parker, Olke C. Uhlenbeck, Andrew D. Smith, Bryan H. Thurtle-Schmidt, Cecilia Conaco, Zhenyu Xuan, Gail Mandel, Sihem Cheloufi and Erin L. Sternburg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.