Massimo Fabiani

5.0k citations
107 papers · 2.5k · h-index 30

Impact in

  • Health top 1%
    • Vaccine Coverage and Hesitancy
    • HIV/AIDS Research and Interventions
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral Infections and Outbreaks Research

Papers in

    • SARS-CoV-2 and COVID-19 Research 16
    • HIV/AIDS Research and Interventions 15
    • COVID-19 Clinical Research Studies 10
    • Influenza Virus Research Studies 13

Massimo Fabiani

102 papers receiving 2.5k citations

Peers

Massimo Fabiani
Comparison fields: 5 of 140
  • Health 493
  • Infectious Diseases 1.1k
  • Modeling and Simulation 255
  • Virology 237
  • Emergency Medical Services 165
Replace Hung Fu Tseng with:
Hung Fu Tseng United States
Susan Robertson Switzerland
Faris G. Bakri Jordan
Annemarie Wasley United States
Emily L. Webb United Kingdom
Domenico Martinelli Italy
Michael Hawkes Canada
Robert B. Couch United States
Ida Maria Lisse Denmark
Brian Custer United States
Massimo Fabiani relative to Hung Fu Tseng United States Hung Fu Tseng's profile →
Citations per field
00.5×7.9×
Hung Fu Tseng · 1×
Citations per year

Countries citing papers authored by Massimo Fabiani

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Fabiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Fabiani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Fabiani Line = papers co-authored together Massimo Fabiani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002235
2 2018193
3 2003139
4 2020125
5 2000101
6 199988
7 199675
8 202169
9 199866
10 200157
11 202157
12 201456
13 202055
14 200450
15 202146
16 200443
17 202040
18 200338
19 201438
20 200138

About Massimo Fabiani

Massimo Fabiani is a scholar working on Infectious Diseases, Epidemiology, Health, Modeling and Simulation and Oncology, having authored 107 papers that have together received 2.5k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (23 papers), COVID-19 epidemiological studies (22 papers), SARS-CoV-2 and COVID-19 Research (16 papers), HIV/AIDS Research and Interventions (15 papers), Influenza Virus Research Studies (13 papers), Migration, Health and Trauma (10 papers), Adolescent Sexual and Reproductive Health (10 papers) and COVID-19 Clinical Research Studies (10 papers). The work is most often cited by research in Health (493 citations), Infectious Diseases (1.1k citations), Modeling and Simulation (255 citations), Virology (237 citations) and Emergency Medical Services (165 citations). Massimo Fabiani has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Silvia Declich, Patrizio Pezzotti, Flavia Riccardo, Silvia Moretti, Adelina Spallanzani, Antonino Bella, Matthew Lukwiya, Alberto Mateo‐Urdiales, Martina Del Manso and Barbara Nattabi. Their work appears in journals such as Vaccine, AIDS, Eurosurveillance, Frontiers in Public Health and European Journal of Public Health.

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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