Anna Kabanova
Impact in
- Parasitology top 5%
- Toxoplasma gondii Research Studies
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
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- Epigenetics and DNA Methylation 3
- PI3K/AKT/mTOR signaling in cancer 3
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- Cytomegalovirus and herpesvirus research 5
- Herpesvirus Infections and Treatments 5
- Co-authors
- Daniele Lilleri (5 shared papers)Giuseppe Gerna (4 shared papers)Antonio Lanzavecchia (4 shared papers)Federica Sallusto (3 shared papers)Davide Corti (3 shared papers)Cosima T. Baldari (7 shared papers)Elena Percivalle (2 shared papers)Sandra Blaess (3 shared papers)
- Journals
- eNeuro (1 paper)Molecular Oncology (1 paper)Seminars in Hematology (1 paper)Current Opinion in Immunology (1 paper)Neural Development (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Anna Kabanova
22 papers receiving 935 citations
Peers
Comparison fields: 5 of 81
- Parasitology 118
- Epidemiology 542
- Developmental Neuroscience 42
- Immunology 205
- Virology 43
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 154 | |
| 2 | 2016 | 140 | |
| 3 | 2011 | 104 | |
| 4 | 2014 | 104 | |
| 5 | 2012 | 80 | |
| 6 | 2019 | 68 | |
| 7 | 2015 | 42 | |
| 8 | 2015 | 42 | |
| 9 | 2018 | 38 | |
| 10 | 2010 | 35 | |
| 11 | 2016 | 33 | |
| 12 | 2019 | 26 | |
| 13 | 2020 | 22 | |
| 14 | 2017 | 20 | |
| 15 | 2019 | 15 | |
| 16 | 2020 | 10 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Anna Kabanova
Anna Kabanova is a scholar working on Molecular Biology, Epidemiology, Immunology, Genetics and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 947 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Herpesvirus Infections and Treatments (5 papers), Epigenetics and DNA Methylation (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Parasitology (118 citations), Epidemiology (542 citations), Developmental Neuroscience (42 citations), Immunology (205 citations) and Virology (43 citations). Anna Kabanova has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Daniele Lilleri, Giuseppe Gerna, Antonio Lanzavecchia, Federica Sallusto, Davide Corti, Cosima T. Baldari, Elena Percivalle, Sandra Blaess, Laurent Perez and Jessica Marcandalli. Their work appears in journals such as eNeuro, Molecular Oncology, Seminars in Hematology, Current Opinion in Immunology and Neural Development.
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.