Francesco Gianfagna

25.6k citations
87 papers · 2.4k indexed · 1 hit paper · h-index 26

Francesco Gianfagna

85 papers receiving 2.3k citations

Hit Papers

Saliva is a reliable tool to detect SARS-CoV-24362020202620222024100200300400

Peers

Francesco Gianfagna
Comparison fields: 5 of 135
  • General Dentistry 151
  • Infectious Diseases 532
  • Internal Medicine 68
  • Cardiology and Cardiovascular Medicine 288
  • Behavioral Neuroscience 37
Replace Ivan Soldatović with:
Ivan Soldatović Serbia
Satish Kumar United States
Liang Zhu United States
Howard W. Wiener United States
Κassem Sharif Israel
Juha Sinisalo Finland
Attila Nagy Hungary
Coziana Ciurtin United Kingdom
Khaled Alkattan Saudi Arabia
Eva Čermáková Czechia
Francesco Gianfagna relative to Ivan Soldatović Serbia Ivan Soldatović's profile →
Citations per field
00.5×10.8×
Ivan Soldatović · 1×
Citations per year

Countries citing papers authored by Francesco Gianfagna

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Gianfagna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20244
4 20245
5 20242
6 202315
7 202323
8 202210
9 202220
10 2021142
11 202011
12
Saliva is a reliable tool to detect SARS-CoV-2breakdown →
2020436
13 201630
14 20137
15 20128
16 201120
17 201139
18 20091
19 200637
20 199816

About Francesco Gianfagna

Francesco Gianfagna is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Public Health, Environmental and Occupational Health, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (8 papers), Obesity, Physical Activity, Diet (7 papers), Glutathione Transferases and Polymorphisms (6 papers), Regulation of Appetite and Obesity (6 papers), Genetic Associations and Epidemiology (6 papers), COVID-19 and Mental Health (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Healthcare professionals’ stress and burnout (5 papers). The work is most often cited by research in General Dentistry (151 citations), Infectious Diseases (532 citations) and Internal Medicine (68 citations). Francesco Gianfagna has collaborated with scholars based in Italy, Belgium and Spain. Frequent co-authors include Stefania Boccia, Walter Ricciardi, Licia Iacoviello, Giovanni de Gaetano, Chiara Cerletti, Giuseppe La Torre, Daniela Dalla Gasperina, Angelo Tagliabue, Andreina Baj and Lorenzo Azzi.

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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