Giovanni Fadda

9.2k citations
137 papers · 7.1k indexed · 1 hit paper · h-index 47

Giovanni Fadda

135 papers receiving 6.9k citations

Hit Papers

Elevated Levels of C-Reactive Protein at Discharge in Pat...4501999202620082017100200300400

Peers

Giovanni Fadda
Comparison fields: 5 of 138
  • Applied Microbiology and Biotechnology 513
  • Molecular Medicine 1.3k
  • Infectious Diseases 3.6k
  • Clinical Biochemistry 831
  • Epidemiology 3.9k
Replace G. Petrikkos with:
G. Petrikkos Greece
Brunella Posteraro Italy
Katsunori Yanagihara Japan
Ronen Ben‐Ami Israel
Satoshi Ichiyama Japan
Jong Hee Shin South Korea
George A. Pankey United States
Kwen‐Tay Luh Taiwan
James S. Lewis United States
Jean‐Luc Mainardi France
Giovanni Fadda relative to G. Petrikkos Greece G. Petrikkos's profile →
Citations per field
00.5×2.8×
G. Petrikkos · 1×
Citations per year

Countries citing papers authored by Giovanni Fadda

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Fadda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2012165
2 201230
3 201173
4 201166
5 201110
6 2009114
7 200951
8 2009123
9 200818
10 200847
11 2007356
12 200720
13 200666
14 200659
15
Persistent subcutaneous Scedosporium apiospermum infection.
20048
16 200452
17 200423
18 200138
19 200021
20
Molecular characterization of Streptococcus equi subspecies equi isolated from an Ethiopian camel by ribotyping and PCR-ribotyping.
19991

About Giovanni Fadda

Giovanni Fadda is a scholar working on Infectious Diseases, Molecular Medicine and Applied Microbiology and Biotechnology, having authored 137 papers that have together received 7.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (35 papers), Mycobacterium research and diagnosis (29 papers), Antifungal resistance and susceptibility (24 papers), Antibiotic Resistance in Bacteria (16 papers), Fungal Infections and Studies (16 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Bacterial Identification and Susceptibility Testing (13 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (513 citations), Molecular Medicine (1.3k citations) and Infectious Diseases (3.6k citations). Giovanni Fadda has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Maurizio Sanguinetti, Brunella Posteraro, Teresa Spanu, Roberto Cauda, Mario Tumbarello, Barbara Fiori, Stefania Zanetti, Giovanni Delogu, Enrico Maria Trecarichi and Riccardo Torelli. Their work appears in journals such as Circulation, PLoS ONE and Applied and Environmental Microbiology.

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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