Giovanni Migliore

48 total papers · 784 total citations
29 papers, 373 citations indexed

About

Giovanni Migliore is a scholar working on Infectious Diseases, Health and Neurology. According to data from OpenAlex, Giovanni Migliore has authored 29 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 9 papers in Health and 5 papers in Neurology. Recurrent topics in Giovanni Migliore's work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (10 papers) and Vaccine Coverage and Hesitancy (9 papers). Giovanni Migliore is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (10 papers) and Vaccine Coverage and Hesitancy (9 papers). Giovanni Migliore collaborates with scholars based in Italy, Greece and United States. Giovanni Migliore's co-authors include Silvio Tafuri, Pasquale Stefanizzi, Francesco Paolo Bianchi, Luigi Vimercati, Luigi De Maria, Stefania Sponselli, Antonio Caputi, Domenica Cavone, Loreto Gesualdo and Felice Lorusso and has published in prestigious journals such as The Journal of Infectious Diseases, International Journal of Environmental Research and Public Health and Vaccine.

In The Last Decade

Giovanni Migliore

27 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Giovanni Migliore 181 100 75 70 58 29 373
Julia Andrieni 179 1.0× 63 0.6× 58 0.8× 56 0.8× 97 1.7× 16 410
Thomas F. Osborne 187 1.0× 48 0.5× 103 1.4× 47 0.7× 43 0.7× 43 395
Jennifer Meeks 90 0.5× 41 0.4× 118 1.6× 80 1.1× 72 1.2× 25 367
Zahra Pashaei 239 1.3× 38 0.4× 51 0.7× 63 0.9× 54 0.9× 32 402
Domenico Pascucci 128 0.7× 101 1.0× 32 0.4× 84 1.2× 40 0.7× 34 332
Seyed Ahmad Seyed Alinaghi 244 1.3× 37 0.4× 67 0.9× 87 1.2× 38 0.7× 33 422
Justine Chinn 146 0.8× 28 0.3× 69 0.9× 42 0.6× 32 0.6× 23 345
Hakjun Hyun 204 1.1× 58 0.6× 46 0.6× 81 1.2× 33 0.6× 37 373
Utkarsh Agrawal 131 0.7× 66 0.7× 23 0.3× 78 1.1× 26 0.4× 37 419
Aquiles R. Henríquez-Trujillo 125 0.7× 31 0.3× 34 0.5× 47 0.7× 76 1.3× 37 412

Countries citing papers authored by Giovanni Migliore

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Migliore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Migliore

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