Anna Kabanova

1.7k total citations
24 papers, 947 citations indexed

About

Anna Kabanova is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Anna Kabanova has authored 24 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Immunology. Recurrent topics in Anna Kabanova's work include Chronic Lymphocytic Leukemia Research (5 papers), Herpesvirus Infections and Treatments (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). Anna Kabanova is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Herpesvirus Infections and Treatments (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). Anna Kabanova collaborates with scholars based in Italy, Germany and United Kingdom. Anna Kabanova's co-authors include Daniele Lilleri, Giuseppe Gerna, Antonio Lanzavecchia, Federica Sallusto, Davide Corti, Cosima T. Baldari, Elena Percivalle, Sandra Blaess, Emilia Genini and Jessica Marcandalli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Nature Neuroscience.

In The Last Decade

Anna Kabanova

22 papers receiving 935 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Kabanova Italy 15 542 281 205 158 118 24 947
Flavia Chiuppesi United States 16 464 0.9× 340 1.2× 186 0.9× 234 1.5× 71 0.6× 30 1.0k
Deborah J. Bidanset United States 15 361 0.7× 252 0.9× 38 0.2× 96 0.6× 76 0.6× 17 909
Renato Brandimarti Italy 17 613 1.1× 297 1.1× 341 1.7× 55 0.3× 57 0.5× 28 1.1k
Shinji Ihara Japan 11 186 0.3× 208 0.7× 53 0.3× 73 0.5× 82 0.7× 25 640
Réjane Rua France 19 288 0.5× 188 0.7× 487 2.4× 132 0.8× 10 0.1× 32 1.2k
Joshua Kramer United States 15 182 0.3× 338 1.2× 175 0.9× 144 0.9× 11 0.1× 32 980
Yuri V. Kim United States 10 149 0.3× 148 0.5× 75 0.4× 80 0.5× 102 0.9× 12 590
Kevin S. Dingwell United Kingdom 17 792 1.5× 585 2.1× 342 1.7× 47 0.3× 101 0.9× 22 1.5k
Luís Nobre United Kingdom 12 250 0.5× 319 1.1× 225 1.1× 41 0.3× 47 0.4× 15 888
Philip D. Walton United States 5 500 0.9× 333 1.2× 79 0.4× 261 1.7× 67 0.6× 7 991

Countries citing papers authored by Anna Kabanova

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anna Kabanova

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kabanova. A scholar is included among the top collaborators of Anna Kabanova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Kabanova. Anna Kabanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Simon‐Molas, Helga, et al.. (2024). Metabolic reprogramming in the CLL TME; potential for new therapeutic targets. Seminars in Hematology. 61(3). 155–162. 2 indexed citations
4.
Simon‐Molas, Helga, et al.. (2023). Glucose metabolism in B cell malignancies: a focus on glycolysis branching pathways. Molecular Oncology. 18(7). 1777–1794. 4 indexed citations
5.
Rita, Anthea Di, et al.. (2022). Assessing gene function in human B cells: CRISPR/Cas9‐based gene editing and mRNA‐based gene expression in healthy and tumor cells. European Journal of Immunology. 52(8). 1362–1365. 3 indexed citations
6.
Vanni, Francesca, Anna Kabanova, Francesca Cattaneo, et al.. (2021). A novel class of oxazepine-based anti-cancer agents induces cell death in primary human CLL cells and efficiently reduces tumor growth in Eμ-TCL1 mice through the JNK/STAT4/p66Shc axis. Pharmacological Research. 174. 105965–105965. 1 indexed citations
7.
Heilig, Raphael, Isabel Poschke, Michael Volkmar, et al.. (2020). Phosphoproteomics of CD2 signaling reveals AMPK-dependent regulation of lytic granule polarization in cytotoxic T cells. Science Signaling. 13(631). 22 indexed citations
8.
Troisi, Marco, Emanuele Andreano, Claudia Sala, Anna Kabanova, & Rino Rappuoli. (2020). Vaccines as remedy for antimicrobial resistance and emerging infections. Current Opinion in Immunology. 65. 102–106. 10 indexed citations
9.
Gerna, Giuseppe, Anna Kabanova, & Daniele Lilleri. (2019). Human Cytomegalovirus Cell Tropism and Host Cell Receptors. Vaccines. 7(3). 70–70. 68 indexed citations
10.
Finetti, Francesca, Chiara Cassioli, Valentina Cianfanelli, et al.. (2019). The intraflagellar transport protein IFT20 controls lysosome biogenesis by regulating the post-Golgi transport of acid hydrolases. Cell Death and Differentiation. 27(1). 310–328. 26 indexed citations
11.
Patrussi, Laura, Nagaja Capitani, Cristina Ulivieri, et al.. (2019). p66Shc deficiency in the Eμ-TCL1 mouse model of chronic lymphocytic leukemia enhances leukemogenesis by altering the chemokine receptor landscape. Haematologica. 104(10). 2040–2052. 15 indexed citations
12.
Kabanova, Anna, et al.. (2018). Signals Controlling Lytic Granule Polarization at the Cytotoxic Immune Synapse. Frontiers in Immunology. 9. 307–307. 38 indexed citations
13.
Cattaneo, Francesca, Emanuele Cencini, Alessandro Gozzetti, et al.. (2017). Ectopic ILT3 controls BCR-dependent activation of Akt in B-cell chronic lymphocytic leukemia. Blood. 130(18). 2006–2017. 20 indexed citations
14.
Kabanova, Anna, Jessica Marcandalli, Tongqing Zhou, et al.. (2016). Platelet-derived growth factor-α receptor is the cellular receptor for human cytomegalovirus gHgLgO trimer. Nature Microbiology. 1(8). 16082–16082. 140 indexed citations
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Gazea, Mary, Anna Kabanova, Bahtiyar Kurtulmus, et al.. (2015). Primary cilia are critical for Sonic hedgehog-mediated dopaminergic neurogenesis in the embryonic midbrain. Developmental Biology. 409(1). 55–71. 42 indexed citations
17.
Lilleri, Daniele, Anna Kabanova, Maria Grazia Revello, et al.. (2013). Fetal Human Cytomegalovirus Transmission Correlates with Delayed Maternal Antibodies to gH/gL/pUL128-130-131 Complex during Primary Infection. PLoS ONE. 8(3). e59863–e59863. 154 indexed citations
18.
Lilleri, Daniele, Anna Kabanova, Antonio Lanzavecchia, & Giuseppe Gerna. (2012). Antibodies Against Neutralization Epitopes of Human Cytomegalovirus gH/gL/pUL128-130-131 Complex and Virus Spreading May Correlate with Virus Control In Vivo. Journal of Clinical Immunology. 32(6). 1324–1331. 80 indexed citations
19.
Blaess, Sandra, Gabriela O. Bodea, Anna Kabanova, et al.. (2011). Temporal-spatial changes in Sonic Hedgehog expression and signaling reveal different potentials of ventral mesencephalic progenitors to populate distinct ventral midbrain nuclei. Neural Development. 6(1). 29–29. 104 indexed citations
20.
Kabanova, Anna, Roberto Adamo, Daniela Proietti, et al.. (2010). Preparation, characterization and immunogenicity of HIV-1 related high-mannose oligosaccharides-CRM197 glycoconjugates. Glycoconjugate Journal. 27(5). 501–513. 35 indexed citations

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.

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