Noemi Manganaro

1.3k citations
9 papers · 413 indexed · 1 hit paper · h-index 8
Topics
SARS-CoV-2 and COVID-19 Research (4 papers)Chronic Lymphocytic Leukemia Research (4 papers)Lymphoma Diagnosis and Treatment (4 papers)
Partner nations
ItalyBelgiumCuba

In The Last Decade

Noemi Manganaro

9 papers receiving 408 citations

Hit Papers

SARS-CoV-2 escape from a highly neutralizing COVID-19 con...2021202620222024202150100150200

Peers

Noemi Manganaro
Comparison fields: 5 of 50
  • Infectious Diseases 336
  • Molecular Biology 124
  • Immunology 84
  • Animal Science and Zoology 51
  • Genetics 46
Replace Daniel Poston with:
Daniel Poston United States
Michael C. McGee United States
Suruchi Singh India
Kaori Okada United States
Sally Shin United States
Maddy L. Newby United Kingdom
Rodrigo B. Abreu United States
Alberto Zani Italy
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Noemi Manganaro relative to Daniel Poston United States Daniel Poston's profile →
Citations per field
00.5×9.2×
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Citations per year

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
#WorkIndexed citations
1 15
2 5
3 85
4
SARS-CoV-2 escape from a highly neutralizing COVID-19 convalescent plasmabreakdown →
246
5 7
6 10
7 7
8 15
9 23

About Noemi Manganaro

Noemi Manganaro is a scholar working on Genetics, Pathology and Forensic Medicine and Modeling and Simulation, having authored 9 papers that have together received 413 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Infectious Diseases (336 citations), Modeling and Simulation (24 citations) and Animal Science and Zoology (51 citations). Noemi Manganaro has collaborated with scholars based in Italy, Belgium and Cuba. Frequent co-authors include Emanuele Andreano, Rino Rappuoli, Elisa Pantano, Linda Benincasa, Giulia Piccini, Ida Paciello, Emanuele Montomoli, Inesa Hyseni, Danilo Licastro and Nicole V. Johnson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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