Anna Perederina
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 28
- RNA modifications and cancer 12
- RNA Research and Splicing 11
- Fungal and yeast genetics research 3
- Protein Structure and Dynamics 2
- Genetics 13
- Bacterial Genetics and Biotechnology 13
- Co-authors
- Dmitry G. Vassylyev (12 shared papers)Marina N. Vassylyeva (8 shared papers)Irina Artsimovitch (7 shared papers)T.H. Tahirov (4 shared papers)Vladimir Svetlov (6 shared papers)Andrey S. Krasilnikov (15 shared papers)Shigeyuki Yokoyama (3 shared papers)Olga Esakova (8 shared papers)
- Journals
- RNA (7 papers)Nature (3 papers)Cell (3 papers)RNA Biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesJapanRussia
In The Last Decade
Anna Perederina
31 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 82
- Genetics 837
- Molecular Medicine 115
- Molecular Biology 1.5k
- Ecology 353
- Endocrinology 59
Countries citing papers authored by Anna Perederina
This map shows the geographic impact of Anna Perederina'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 Anna Perederina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Perederina more than expected).
Fields of papers citing papers by Anna Perederina
This network shows the impact of papers produced by Anna Perederina. 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 Anna Perederina. The network helps show where Anna Perederina may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Perederina, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 337 | |
| 2 | 2004 | 280 | |
| 3 | 2008 | 178 | |
| 4 | 2011 | 174 | |
| 5 | 2005 | 142 | |
| 6 | 2005 | 126 | |
| 7 | 2016 | 71 | |
| 8 | 2005 | 62 | |
| 9 | 2005 | 61 | |
| 10 | 2010 | 45 | |
| 11 | 2007 | 39 | |
| 12 | 2005 | 37 | |
| 13 | 2020 | 25 | |
| 14 | 2008 | 24 | |
| 15 | 2010 | 24 | |
| 16 | 2006 | 23 | |
| 17 | 2002 | 23 | |
| 18 | 2015 | 18 | |
| 19 | 2012 | 16 | |
| 20 | 2018 | 14 |
About Anna Perederina
Anna Perederina is a scholar working on Molecular Biology, Genetics, Ecology, Materials Chemistry and Infectious Diseases, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (28 papers), Bacterial Genetics and Biotechnology (13 papers), RNA modifications and cancer (12 papers), RNA Research and Splicing (11 papers), Enzyme Structure and Function (5 papers), Bacteriophages and microbial interactions (4 papers), Fungal and yeast genetics research (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Genetics (837 citations), Molecular Medicine (115 citations), Molecular Biology (1.5k citations), Ecology (353 citations) and Endocrinology (59 citations). Anna Perederina has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Dmitry G. Vassylyev, Marina N. Vassylyeva, Irina Artsimovitch, T.H. Tahirov, Vladimir Svetlov, Andrey S. Krasilnikov, Shigeyuki Yokoyama, Olga Esakova, Hiroyuki Mori and Tomoya Tsukazaki. Their work appears in journals such as RNA, Nature, Cell, RNA Biology and Nucleic Acids Research.
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.