Noemi Manganaro

1.3k total citations · 1 hit paper
9 papers, 413 citations indexed

About

Noemi Manganaro is a scholar working on Infectious Diseases, Molecular Biology and Genetics. According to data from OpenAlex, Noemi Manganaro has authored 9 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Noemi Manganaro's work include SARS-CoV-2 and COVID-19 Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). Noemi Manganaro is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). Noemi Manganaro collaborates with scholars based in Italy, Belgium and Cuba. Noemi Manganaro's co-authors include Elisa Pantano, Rino Rappuoli, Emanuele Andreano, Giulia Piccini, Ida Paciello, Emanuele Montomoli, Linda Benincasa, Inesa Hyseni, Danilo Licastro and Nicole V. Johnson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Noemi Manganaro

9 papers receiving 408 citations

Hit Papers

SARS-CoV-2 escape from a ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noemi Manganaro Italy 8 336 124 84 51 46 9 413
Michael C. McGee United States 8 151 0.4× 148 1.2× 75 0.9× 25 0.5× 22 0.5× 11 347
Daniel Poston United States 7 343 1.0× 183 1.5× 41 0.5× 51 1.0× 5 0.1× 8 450
Suruchi Singh India 9 242 0.7× 101 0.8× 57 0.7× 32 0.6× 5 0.1× 23 394
Kaori Okada United States 7 135 0.4× 60 0.5× 77 0.9× 61 1.2× 27 0.6× 19 292
Rodrigo B. Abreu United States 10 125 0.4× 77 0.6× 125 1.5× 10 0.2× 24 0.5× 14 348
Maddy L. Newby United Kingdom 13 225 0.7× 107 0.9× 88 1.0× 20 0.4× 4 0.1× 19 369
Sally Shin United States 11 236 0.7× 101 0.8× 190 2.3× 22 0.4× 3 0.1× 15 406
Alberto Zani Italy 12 193 0.6× 71 0.6× 47 0.6× 13 0.3× 4 0.1× 26 326
Caroline L. Ashley Australia 9 93 0.3× 100 0.8× 140 1.7× 15 0.3× 4 0.1× 15 300
Yu-Hsin Wan United States 5 330 1.0× 110 0.9× 84 1.0× 50 1.0× 1 0.0× 6 396

Countries citing papers authored by Noemi Manganaro

Since Specialization
Citations

This map shows the geographic impact of Noemi Manganaro'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 Noemi Manganaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noemi Manganaro more than expected).

Fields of papers citing papers by Noemi Manganaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noemi Manganaro. 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 Noemi Manganaro. The network helps show where Noemi Manganaro may publish in the future.

Co-authorship network of co-authors of Noemi Manganaro

This figure shows the co-authorship network connecting the top 25 collaborators of Noemi Manganaro. A scholar is included among the top collaborators of Noemi Manganaro 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 Noemi Manganaro. Noemi Manganaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Andreano, Emanuele, Ida Paciello, Lorena Donnici, et al.. (2022). Anatomy of Omicron BA.1 and BA.2 neutralizing antibodies in COVID-19 mRNA vaccinees. Nature Communications. 13(1). 3375–3375. 15 indexed citations
2.
Capitani, Nagaja, Noemi Manganaro, Federica Frezzato, et al.. (2022). p66Shc Deficiency in Chronic Lymphocytic Leukemia Promotes Chemokine Receptor Expression Through the ROS-Dependent Inhibition of NF-κB. Frontiers in Oncology. 12. 877495–877495. 5 indexed citations
3.
Andreano, Emanuele, Giulia Piccini, Danilo Licastro, et al.. (2021). SARS-CoV-2 escape from a highly neutralizing COVID-19 convalescent plasma. Proceedings of the National Academy of Sciences. 118(36). 246 indexed citations breakdown →
4.
Andreano, Emanuele, Ida Paciello, Giulia Piccini, et al.. (2021). Hybrid immunity improves B cells and antibodies against SARS-CoV-2 variants. Nature. 600(7889). 530–535. 85 indexed citations
5.
Pecetta, Simone, Mariagrazia Pizza, Claudia Sala, et al.. (2021). Antibodies, epicenter of SARS-CoV-2 immunology. Cell Death and Differentiation. 28(2). 821–824. 7 indexed citations
6.
Finetti, Francesca, Nagaja Capitani, Noemi Manganaro, et al.. (2020). Optimization of Organotypic Cultures of Mouse Spleen for Staining and Functional Assays. Frontiers in Immunology. 11. 471–471. 10 indexed citations
7.
Patrussi, Laura, Noemi Manganaro, Nagaja Capitani, et al.. (2020). Enhanced IL-9 secretion by p66Shc-deficient CLL cells modulates the chemokine landscape of the stromal microenvironment. Blood. 137(16). 2182–2195. 7 indexed citations
8.
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
9.
Patrussi, Laura, Nagaja Capitani, Francesca Cattaneo, et al.. (2018). p66Shc deficiency enhances CXCR4 and CCR7 recycling in CLL B cells by facilitating their dephosphorylation-dependent release from β-arrestin at early endosomes. Oncogene. 37(11). 1534–1550. 23 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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