Noemi Castelletti

52 total papers · 833 total citations
15 papers, 128 citations indexed

About

Noemi Castelletti is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Noemi Castelletti has authored 15 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Noemi Castelletti's work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (4 papers) and Asthma and respiratory diseases (3 papers). Noemi Castelletti is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (4 papers) and Asthma and respiratory diseases (3 papers). Noemi Castelletti collaborates with scholars based in Germany, Switzerland and Greece. Noemi Castelletti's co-authors include Maria Vittoria Barbarossa, Thomas Lippert, Stefan Krieg, Jan H. Meinke, Jan Fuhrmann, Helmut Küchenhoff, Georgios T. Stathopoulos, Kyoji Furukawa, Jan Christian Kaiser and Cristoforo Simonetto and has published in prestigious journals such as PLoS ONE, Carcinogenesis and EBioMedicine.

In The Last Decade

Noemi Castelletti

13 papers receiving 124 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Noemi Castelletti 49 37 22 16 15 15 128
Peiyu Zhu 35 0.7× 107 2.9× 10 0.5× 11 0.7× 9 0.6× 22 262
Lena Nguyen 36 0.7× 149 4.0× 20 0.9× 10 0.6× 5 0.3× 23 213
Kamoru A. Adedokun 45 0.9× 65 1.8× 15 0.7× 18 1.1× 9 0.6× 21 238
Tanmay Mitra 88 1.8× 54 1.5× 6 0.3× 22 1.4× 9 0.6× 11 192
Yaw Bediako 22 0.4× 62 1.7× 5 0.2× 15 0.9× 7 0.5× 16 219
Maria Overvad 54 1.1× 150 4.1× 9 0.4× 8 0.5× 9 0.6× 11 241
Darlington E. Obaseki 27 0.6× 31 0.8× 7 0.3× 5 0.3× 9 0.6× 24 90
Arnaldo Correia de Medeiros 20 0.4× 54 1.5× 21 1.0× 6 0.4× 4 0.3× 19 250
Abdelrahim Osman Mohamed 18 0.4× 16 0.4× 6 0.3× 11 0.7× 12 0.8× 27 216
Wei Peng 10 0.2× 64 1.7× 8 0.4× 8 0.5× 4 0.3× 21 136

Countries citing papers authored by Noemi Castelletti

Since Specialization
Citations

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

Fields of papers citing papers by Noemi Castelletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noemi Castelletti

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

All Works

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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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