Azzurra Massimi

89 total papers · 1.1k total citations
56 papers, 613 citations indexed

About

Azzurra Massimi is a scholar working on Health, General Health Professions and Epidemiology. According to data from OpenAlex, Azzurra Massimi has authored 56 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Health, 23 papers in General Health Professions and 20 papers in Epidemiology. Recurrent topics in Azzurra Massimi's work include Vaccine Coverage and Hesitancy (17 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Chronic Disease Management Strategies (6 papers). Azzurra Massimi is often cited by papers focused on Vaccine Coverage and Hesitancy (17 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Chronic Disease Management Strategies (6 papers). Azzurra Massimi collaborates with scholars based in Italy, United States and Jordan. Azzurra Massimi's co-authors include Corrado De Vito, Paolo Villari, Carolina Marzuillo, Valentina Baccolini, Giuseppe Migliara, Annalisa Rosso, Elvira D’Andrea, Claudia Isonne, Erika Renzi and Walter Ricciardi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.

In The Last Decade

Azzurra Massimi

47 papers receiving 602 citations

Author Peers

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

Author						Papers	Cites
Azzurra Massimi	238	202	169	118	70	56	613
Stine Byberg	221 0.9×	112 0.6×	140 0.8×	75 0.6×	56 0.8×	49	684
Della Maneze	211 0.9×	181 0.9×	82 0.5×	114 1.0×	132 1.9×	43	658
Bey‐Marrié Schmidt	115 0.5×	174 0.9×	101 0.6×	134 1.1×	44 0.6×	47	521
Lauren Shaw	239 1.0×	120 0.6×	117 0.7×	189 1.6×	33 0.5×	20	569
Jongnam Hwang	147 0.6×	194 1.0×	110 0.7×	56 0.5×	29 0.4×	40	554
Steven Ndugwa Kabwama	70 0.3×	129 0.6×	122 0.7×	137 1.2×	67 1.0×	48	596
Nikkil Sudharsanan	125 0.5×	154 0.8×	77 0.5×	66 0.6×	36 0.5×	46	511
Sheamini Sivasampu	101 0.4×	151 0.7×	127 0.8×	168 1.4×	17 0.2×	58	624
Kalinda Griffiths	122 0.5×	151 0.7×	165 1.0×	92 0.8×	72 1.0×	36	663
Lina Sofia Palacio-Mejía	68 0.3×	111 0.5×	269 1.6×	98 0.8×	33 0.5×	36	664

Countries citing papers authored by Azzurra Massimi

Since Specialization

Citations

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

Fields of papers citing papers by Azzurra Massimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azzurra Massimi

This figure shows the co-authorship network connecting the top 25 collaborators of Azzurra Massimi. A scholar is included among the top collaborators of Azzurra Massimi 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 Azzurra Massimi. Azzurra Massimi 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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