Fábio Ghilardi

656 total citations
7 papers, 98 citations indexed

About

Fábio Ghilardi is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Fábio Ghilardi has authored 7 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Epidemiology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Fábio Ghilardi's 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). Fábio Ghilardi is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Trypanosoma species research and implications (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Fábio Ghilardi collaborates with scholars based in Brazil, United Kingdom and Paraguay. Fábio Ghilardi's co-authors include Cláudio Romero Farias Marinho, Carsten Wrenger, Lívia Rosa-Fernandes, Rinaldo Focaccia Siciliano, Talia Falcão Dalçóquio, José Carlos Nicolau, Giuseppe Palmisano, Éster Cerdeira Sabino, Amy Dighe and Darlan da Silva Cândido and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS neglected tropical diseases and Journal of clinical lipidology.

In The Last Decade

Fábio Ghilardi

6 papers receiving 97 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fábio Ghilardi Brazil 4 51 23 21 17 13 7 98
Nazanin Janfaza Iran 5 82 1.6× 13 0.6× 12 0.6× 10 0.6× 6 0.5× 8 140
Emma Hannay Switzerland 6 57 1.1× 22 1.0× 21 1.0× 17 1.0× 17 1.3× 15 102
Anna Hayman Robertson Norway 10 109 2.1× 19 0.8× 30 1.4× 16 0.9× 2 0.2× 16 179
María García González United Kingdom 5 94 1.8× 29 1.3× 10 0.5× 10 0.6× 4 0.3× 9 138
Glorijoy Shi En Tan Singapore 7 45 0.9× 12 0.5× 7 0.3× 15 0.9× 9 0.7× 13 104
Mike Mannell United States 3 91 1.8× 27 1.2× 10 0.5× 5 0.3× 7 0.5× 4 122
Nicola Lorusso Spain 6 45 0.9× 10 0.4× 32 1.5× 24 1.4× 14 1.1× 19 122
Rujittika Mungmunpuntipantip India 6 51 1.0× 6 0.3× 38 1.8× 14 0.8× 4 0.3× 82 140
Lisa Pilgram Germany 6 39 0.8× 4 0.2× 14 0.7× 10 0.6× 4 0.3× 15 83
Kelvin K. H. Kwan Hong Kong 3 114 2.2× 31 1.3× 14 0.7× 5 0.3× 4 0.3× 3 139

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
1.
Mendes-Corrêa, Maria Cássia, Fábio Ghilardi, Matias Chiarastelli Salomão, et al.. (2024). SARS-CoV-2 shedding, infectivity, and evolution in an immunocompromised adult patient. Revista do Instituto de Medicina Tropical de São Paulo. 66. e28–e28.
2.
Ghilardi, Fábio, Gabriel Silva, Thallyta Maria Vieira, et al.. (2024). Machine learning for predicting Chagas disease infection in rural areas of Brazil. PLoS neglected tropical diseases. 18(4). e0012026–e0012026. 1 indexed citations
3.
Moreira, Carlos Henrique Valente, Ana Luiza Bierrenbach, César Augusto Taconeli, et al.. (2023). Parasitemia and antibody response to benznidazole treatment in a cohort of patients with chronic Chagas disease. SHILAP Revista de lepidopterología. 2. 1235925–1235925. 2 indexed citations
4.
Ribeiro, Antônio Luiz Pinho, Léa Campos de Oliveira, Éster Cerdeira Sabino, et al.. (2021). Serological screening for Chagas disease in an endemic region of Northern Minas Gerais, Brazil: the SaMi-Trop project. Revista do Instituto de Medicina Tropical de São Paulo. 63. e67–e67. 5 indexed citations
5.
Ghilardi, Fábio, Lívia Rosa-Fernandes, Diego M. Assis, et al.. (2021). Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19. Life Science Alliance. 4(8). e202000946–e202000946. 28 indexed citations
6.
Rosa-Fernandes, Lívia, Santosh D. Bhosale, Fábio Ghilardi, et al.. (2021). HDL proteome remodeling associates with COVID-19 severity. Journal of clinical lipidology. 15(6). 796–804. 32 indexed citations
7.
Prete, Carlos A., Lewis Buss, Amy Dighe, et al.. (2020). Serial interval distribution of SARS-CoV-2 infection in Brazil. Journal of Travel Medicine. 28(2). 30 indexed citations

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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