Iolanda Mangone

1.1k citations
36 papers · 556 · h-index 14

Impact in

Papers in

Iolanda Mangone

34 papers receiving 547 citations

Peers

Iolanda Mangone
Comparison fields: 5 of 57
  • Infectious Diseases 285
  • Agronomy and Crop Science 151
  • Immunology and Allergy 64
  • Ecology, Evolution, Behavior and Systematics 152
  • Animal Science and Zoology 69
Replace Silvia Faccini with:
Silvia Faccini Italy
Simon R. Clegg United Kingdom
W. D. Vink New Zealand
Pedro Fernández‐Soto Spain
Guido Rocchigiani Italy
Yasser S. Mahmmod Egypt
Peter McWaters Australia
Duncan M. Mwangi Kenya
David Knudsen United States
Seong‐Su Yuk South Korea
Iolanda Mangone relative to Silvia Faccini Italy Silvia Faccini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Iolanda Mangone

Since Specialization
Citations

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

Fields of papers citing papers by Iolanda Mangone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201270
2 201851
3 201842
4 201641
5 201432
6 201629
7 202125
8 201925
9 202124
10 201919
11 201418
12 202117
13 201416
14 202013
15 202212
16 201812
17 201110
18 202110
19 20228
20 20228

About Iolanda Mangone

Iolanda Mangone is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 36 papers that have together received 556 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (11 papers), Animal Disease Management and Epidemiology (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Viral Infections and Vectors (7 papers), Virology and Viral Diseases (6 papers), Vector-Borne Animal Diseases (6 papers), Viral gastroenteritis research and epidemiology (6 papers) and Salmonella and Campylobacter epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (285 citations), Agronomy and Crop Science (151 citations), Immunology and Allergy (64 citations), Ecology, Evolution, Behavior and Systematics (152 citations) and Animal Science and Zoology (69 citations). Iolanda Mangone has collaborated with scholars based in Italy, Australia and Tunisia. Frequent co-authors include Alessio Lorusso, Maurilia Marcacci, Cesare Cammà, Giovanni Savini, Liana Teodori, Guendalina Zaccaria, Alessandra Leone, Ottavio Portanti, Massimo Ancora and Manuela Helmer‐Citterich. Their work appears in journals such as Infection Genetics and Evolution, Nucleic Acids Research, BMC Genomics, Viruses and Transboundary and Emerging Diseases.

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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