Melissa Baggieri

900 citations
40 papers · 566 · h-index 14

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research

Papers in

Melissa Baggieri

39 papers receiving 544 citations

Peers

Melissa Baggieri
Comparison fields: 5 of 82
  • Health 130
  • Infectious Diseases 166
  • Epidemiology 288
  • Modeling and Simulation 42
  • Virology 25
Replace Sam Ghebrehewet with:
Sam Ghebrehewet United Kingdom
Maochen Li China
Laura Nic Lochlainn Switzerland
Henrik Bang Denmark
Evangelia Georgia Kostaki Greece
Pratik Ghosh India
Wajihul Hasan Khan India
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Citations per field
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Citations per year

Countries citing papers authored by Melissa Baggieri

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Baggieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Melissa Baggieri, 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 Melissa Baggieri Line = papers co-authored together Melissa Baggieri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201266
3 201342
4 201730
5 201629
6 202029
7 202127
8 201718
9 202317
10 201916
11 202216
12 202115
13 201815
14 201413
15 201612
16 202012
17 202211
18 201510
19 202110
20 20198

About Melissa Baggieri

Melissa Baggieri is a scholar working on Epidemiology, Infectious Diseases, Immunology, Health and Virology, having authored 40 papers that have together received 566 indexed citations. Recurring topics across this work include Virology and Viral Diseases (26 papers), Vaccine Coverage and Hesitancy (7 papers), Rabies epidemiology and control (6 papers), Immune responses and vaccinations (6 papers), Syphilis Diagnosis and Treatment (6 papers), Respiratory viral infections research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Immunodeficiency and Autoimmune Disorders (5 papers). The work is most often cited by research in Health (130 citations), Infectious Diseases (166 citations), Epidemiology (288 citations), Modeling and Simulation (42 citations) and Virology (25 citations). Melissa Baggieri has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Fabio Magurano, Antonietta Filia, Loredana Nicoletti, Antonino Bella, Antonella Marchi, Paola Bucci, Martina Del Manso, Maria Cristina Rota, A. Amendola and Silvia Bianchi. Their work appears in journals such as Eurosurveillance, European Journal of Public Health, Vector-Borne and Zoonotic Diseases, Virus Research and Clinical Microbiology and Infection.

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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