Stanislava Chtarbanova
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 3
- Insect Science top 5%
- Insect symbiosis and bacterial influences 7
- Immunology top 10%
- Invertebrate Immune Response Mechanisms 13
- Aquaculture disease management and microbiota 3
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- Mosquito-borne diseases and control 11
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- Antimicrobial Peptides and Activities 2
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- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Viral Infections and Vectors 2
- Co-authors
- Barry GanetzkyAndrew J. PetersenYang CaoIlias KounatidisPetros LigoxygakisGrace Boekhoff‐FalkJean‐Luc ImlerUrmila Maitra
- Cited by
- AgingInsect ScienceImmunology
- Journals
- Scientific Reports (2 papers)Cell Reports (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Stanislava Chtarbanova
23 papers receiving 735 citations
Peers
Comparison fields: 5 of 83
- Aging 119
- Insect Science 213
- Immunology 270
- Cellular and Molecular Neuroscience 183
- Biological Psychiatry 16
Countries citing papers authored by Stanislava Chtarbanova
This map shows the geographic impact of Stanislava Chtarbanova'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 Stanislava Chtarbanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislava Chtarbanova more than expected).
Fields of papers citing papers by Stanislava Chtarbanova
This network shows the impact of papers produced by Stanislava Chtarbanova. 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 Stanislava Chtarbanova. The network helps show where Stanislava Chtarbanova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stanislava Chtarbanova, 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 | 2023 | 6 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 75 | |
| 11 | 2019 | 46 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 29 | |
| 14 | 2018 | 16 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 143 | |
| 17 | 2014 | 61 | |
| 18 | 2013 | 152 | |
| 19 | 2011 | 1 | |
| 20 | 2011 | 55 |
About Stanislava Chtarbanova
Stanislava Chtarbanova is a scholar working on Aging, Insect Science and Immunology, having authored 23 papers that have together received 739 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (13 papers), Mosquito-borne diseases and control (11 papers), Insect symbiosis and bacterial influences (7 papers), Aquaculture disease management and microbiota (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Antimicrobial Peptides and Activities (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Aging (119 citations), Insect Science (213 citations) and Immunology (270 citations). Stanislava Chtarbanova has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Barry Ganetzky, Andrew J. Petersen, Yang Cao, Ilias Kounatidis, Petros Ligoxygakis, Grace Boekhoff‐Falk, Yang Cao, Jean‐Luc Imler, Urmila Maitra and Janis M. O’Donnell. Their work appears in journals such as Scientific Reports, Cell Reports, International Journal of Molecular Sciences, Proceedings of the National Academy of Sciences and G3 Genes Genomes Genetics.
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.