Т. В. Карамышева
- Genetics top 5%
- Genomic variations and chromosomal abnormalities 19
- Genetic diversity and population structure 13
- Genetic Mapping and Diversity in Plants and Animals 10
- Plant Science top 5%
- Chromosomal and Genetic Variations 48
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- Genomics and Chromatin Dynamics 10
- CRISPR and Genetic Engineering 7
- Genomics and Phylogenetic Studies 6
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- Prenatal Screening and Diagnostics 7
- Co-authors
- Н. Б. РубцовPavel M. BorodinAnna A. TorgashevaThomas LiehrAnna Maryańska‐NadachowskaNadezhda M. BelonogovaJeremy B. SearleA.G. Bugrov
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- RussiaGermanyUnited Kingdom
In The Last Decade
Т. В. Карамышева
60 papers receiving 674 citations
Peers
Comparison fields: 5 of 63
- Genetics 419
- Plant Science 466
- Ecology, Evolution, Behavior and Systematics 110
- Molecular Biology 316
- Paleontology 30
Countries citing papers authored by Т. В. Карамышева
This map shows the geographic impact of Т. В. Карамышева'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 Т. В. Карамышева with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Т. В. Карамышева more than expected).
Fields of papers citing papers by Т. В. Карамышева
This network shows the impact of papers produced by Т. В. Карамышева. 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 Т. В. Карамышева. The network helps show where Т. В. Карамышева may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Т. В. Карамышева, 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 | 2024 | 2 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 25 | |
| 5 | 2019 | 67 | |
| 6 | 2018 | 18 | |
| 7 | 2017 | 6 | |
| 8 | 2014 | 1 | |
| 9 | 2014 | 24 | |
| 10 | 2013 | 1 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 2 | |
| 13 | 2012 | 20 | |
| 14 | 2011 | 4 | |
| 15 | 2011 | 11 | |
| 16 | 2010 | 39 | |
| 17 | 2007 | 5 | |
| 18 | 2007 | 4 | |
| 19 | 2004 | 20 | |
| 20 | 2002 | 40 |
About Т. В. Карамышева
Т. В. Карамышева is a scholar working on Genetics, Plant Science and Aging, having authored 66 papers that have together received 680 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (48 papers), Genomic variations and chromosomal abnormalities (19 papers), Genetic diversity and population structure (13 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Genomics and Chromatin Dynamics (10 papers), Prenatal Screening and Diagnostics (7 papers), CRISPR and Genetic Engineering (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Genetics (419 citations), Plant Science (466 citations) and Ecology, Evolution, Behavior and Systematics (110 citations). Т. В. Карамышева has collaborated with scholars based in Russia, Germany and United Kingdom. Frequent co-authors include Н. Б. Рубцов, Pavel M. Borodin, Anna A. Torgasheva, Thomas Liehr, Anna Maryańska‐Nadachowska, Nadezhda M. Belonogova, Jeremy B. Searle, A.G. Bugrov, Beata Grzywacz and Kira S. Zadesenets. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular 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.