Fara Gm

70 papers receiving 964 citations

Peers

Fara Gm
Comparison fields: 5 of 152
  • Health, Toxicology and Mutagenesis 210
  • Health 101
  • Infectious Diseases 189
  • Modeling and Simulation 43
  • Endocrinology 45
Replace Antonio Azara with:
Antonio Azara Italy
Juan J. Abellán Spain
Fabián Méndez Colombia
Jyotsna S. Jagai United States
John Painter United States
Diana Gómez‐Barroso Spain
Amy Sullivan United States
Neeraj Dhingra India
Alex Leventhal Israel
S B Thacker United States
Fara Gm relative to Antonio Azara Italy Antonio Azara's profile →
Citations per field
00.5×10.7×
Antonio Azara · 1×
Citations per year

Countries citing papers authored by Fara Gm

Since Specialization
Citations

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

Fields of papers citing papers by Fara Gm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020132
2 2020102
3 197975
4 198159
5 199442
6 199342
7 201339
8 201633
9 199431
10
Green areas and public health: improving wellbeing and physical activity in the urban context.
201730
11 198527
12 199426
13 199723
14
Guidelines for prevention of infection and cross infection in the domestic environment
200221
15
Pregnancy outcome in the Seveso area after TCDD contamination.
198517
16 202117
17 202017
18
Experiences from the accident of Seveso.
198016
19 201516
20 198315

About Fara Gm

Fara Gm is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases, Microbiology and Cardiology and Cardiovascular Medicine, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (6 papers), Diphtheria, Corynebacterium, and Tetanus (6 papers), Bacterial Infections and Vaccines (6 papers), Vaccine Coverage and Hesitancy (5 papers), Healthcare Facilities Design and Sustainability (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Hepatitis B Virus Studies (4 papers) and Pneumonia and Respiratory Infections (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (210 citations), Health (101 citations), Infectious Diseases (189 citations), Modeling and Simulation (43 citations) and Endocrinology (45 citations). Fara Gm has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include D D’Alessandro, Stefano Capolongo, Andrea Rebecchi, Letizia Appolloni, Carlo Signorelli, Maddalena Buffoli, A M Patti, Gaetano Settimo, Marco Dettori and Marco Gola. Their work appears in journals such as European Journal of Epidemiology, Vaccine, International Journal of Epidemiology, The Pediatric Infectious Disease Journal and Human Vaccines & Immunotherapeutics.

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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