Fábio Ghilardi

656 citations
7 papers · 98 indexed · h-index 4
Topics
COVID-19 Clinical Research Studies (3 papers)Trypanosoma species research and implications (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS neglected tropical diseasesJournal of clinical lipidology

In The Last Decade

Fábio Ghilardi

6 papers receiving 97 citations

Peers

Fábio Ghilardi
Comparison fields: 5 of 41
  • Infectious Diseases 51
  • Modeling and Simulation 23
  • Epidemiology 21
  • Public Health, Environmental and Occupational Health 17
  • Biomedical Engineering 13
Replace Emma Hannay with:
Emma Hannay Switzerland
Caroline Targino Alves da Silva Brazil
Alberto Battaglini Italy
Phil Lowenthal United States
Nicholas Link United States
Kelvin K. H. Kwan Hong Kong
Gina Cuomo-Dannenburg United Kingdom
Ashley E. Kim United States
Nares Smitasin Singapore
Enrico Richter Germany
Fábio Ghilardi relative to Emma Hannay Switzerland Emma Hannay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fábio Ghilardi

Since Specialization
Citations

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

Fields of papers citing papers by Fábio Ghilardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fábio Ghilardi

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Ghilardi. A scholar is included among the top collaborators of Fábio Ghilardi 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 Fábio Ghilardi. Fábio Ghilardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 5
5 28
6 32
7 30

About Fábio Ghilardi

Fábio Ghilardi is a scholar working on Parasitology, Modeling and Simulation and Infectious Diseases, having authored 7 papers that have together received 98 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Trypanosoma species research and implications (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (23 citations), Infectious Diseases (51 citations) and Health Information Management (6 citations). Fábio Ghilardi has collaborated with scholars based in Brazil, United Kingdom and Paraguay. Frequent co-authors include Talia Falcão Dalçóquio, Lívia Rosa-Fernandes, José Carlos Nicolau, Rinaldo Focaccia Siciliano, Carsten Wrenger, Cláudio Romero Farias Marinho, Giuseppe Palmisano, Éster Cerdeira Sabino, Carlos A. Prete and Graziella E. Ronsein. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS neglected tropical diseases and Journal of clinical lipidology.

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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