Anna Kabanova
Impact in
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Genetics 6
- Chronic Lymphocytic Leukemia Research 6
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 2
- Co-authors
- Daniele Lilleri (6 shared papers)Giuseppe Gerna (4 shared papers)Antonio Lanzavecchia (4 shared papers)Davide Corti (3 shared papers)Federica Sallusto (3 shared papers)Cosima T. Baldari (8 shared papers)Elena Percivalle (2 shared papers)Antonella Sarasini (1 shared paper)
- Journals
- HemaSphere (2 papers)Cell Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Anna Kabanova
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 63
- Epidemiology 558
- Infectious Diseases 161
- Immunology 100
- Genetics 44
- Virology 21
Countries citing papers authored by Anna Kabanova
This map shows the geographic impact of Anna Kabanova'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 Kabanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Kabanova more than expected).
Fields of papers citing papers by Anna Kabanova
This network shows the impact of papers produced by Anna Kabanova. 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 Kabanova. The network helps show where Anna Kabanova may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Kabanova, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 171 | |
| 2 | 2013 | 165 | |
| 3 | 2016 | 149 | |
| 4 | 2014 | 110 | |
| 5 | 2012 | 88 | |
| 6 | 2010 | 80 | |
| 7 | 2019 | 77 | |
| 8 | 2018 | 45 | |
| 9 | 2010 | 42 | |
| 10 | 2016 | 35 | |
| 11 | 2019 | 30 | |
| 12 | 2012 | 27 | |
| 13 | 2020 | 24 | |
| 14 | 2017 | 23 | |
| 15 | 2019 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2025 | 9 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 5 |
About Anna Kabanova
Anna Kabanova is a scholar working on Genetics, Immunology, Epidemiology, Endocrinology and Cell Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Cytomegalovirus and herpesvirus research (6 papers), T-cell and B-cell Immunology (4 papers), Carbohydrate Chemistry and Synthesis (2 papers), Cellular transport and secretion (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Epidemiology (558 citations), Infectious Diseases (161 citations), Immunology (100 citations), Genetics (44 citations) and Virology (21 citations). Anna Kabanova has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Daniele Lilleri, Giuseppe Gerna, Antonio Lanzavecchia, Davide Corti, Federica Sallusto, Cosima T. Baldari, Elena Percivalle, Antonella Sarasini, Emilia Genini and Maria Grazia Revello. Their work appears in journals such as HemaSphere, Cell Reports, Proceedings of the National Academy of Sciences, Blood and European Journal of Immunology.
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.