Maria Anisimova
- Ecology top 0.2%
- Endocrinology top 0.5%
- Virology top 1%
- Genetics top 0.2%
- Genetic diversity and population structure 12
- Evolution and Genetic Dynamics 6
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- Genomics and Phylogenetic Studies 39
- RNA and protein synthesis mechanisms 16
- Biomedical Text Mining and Ontologies 5
- RNA modifications and cancer 5
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- Plant Pathogenic Bacteria Studies 6
- Plant-Microbe Interactions and Immunity 5
- Co-authors
- Olivier GascuelJean-François DufayardVincent LefortStéphane GuindonWim HordijkZiheng YangJoseph P. BielawskiManuel Gil
- Journals
- Nucleic Acids Research (3 papers)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)
- Partner nations
- SwitzerlandUnited KingdomFrance
In The Last Decade
Maria Anisimova
72 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Ecology 4.3k
- Ecology, Evolution, Behavior and Systematics 2.9k
- Endocrinology 747
- Virology 673
- Genetics 4.0k
Countries citing papers authored by Maria Anisimova
This map shows the geographic impact of Maria Anisimova'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 Maria Anisimova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Anisimova more than expected).
Fields of papers citing papers by Maria Anisimova
This network shows the impact of papers produced by Maria Anisimova. 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 Maria Anisimova. The network helps show where Maria Anisimova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Anisimova, 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 | 2025 | 0 | |
| 3 | 2022 | 32 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 7 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 15 | |
| 11 | 2018 | 19 | |
| 12 | 2015 | 24 | |
| 13 | 2014 | 11 | |
| 14 | 2013 | 190 | |
| 15 | 2013 | 74 | |
| 16 | 2012 | 8 | |
| 17 | 2011 | 78 | |
| 18 | 2011 | 6 | |
| 19 | 2008 | 39 | |
| 20 | 2007 | 161 |
About Maria Anisimova
Maria Anisimova is a scholar working on Molecular Biology, Genetics and Plant Science, having authored 75 papers that have together received 20.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (39 papers), RNA and protein synthesis mechanisms (16 papers), Genetic diversity and population structure (12 papers), Plant Pathogenic Bacteria Studies (6 papers), Evolution and Genetic Dynamics (6 papers), Plant-Microbe Interactions and Immunity (5 papers), Biomedical Text Mining and Ontologies (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Ecology (4.3k citations), Ecology, Evolution, Behavior and Systematics (2.9k citations) and Endocrinology (747 citations). Maria Anisimova has collaborated with scholars based in Switzerland, United Kingdom and France. Frequent co-authors include Olivier Gascuel, Jean-François Dufayard, Vincent Lefort, Stéphane Guindon, Wim Hordijk, Ziheng Yang, Joseph P. Bielawski, Manuel Gil, Christophe Dessimoz and Rasmus Nielsen. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.