G Satta

138 papers receiving 2.5k citations

Peers

G Satta
Comparison fields: 5 of 125
  • Molecular Medicine 726
  • Endocrinology 315
  • Clinical Biochemistry 327
  • Infectious Diseases 793
  • Applied Microbiology and Biotechnology 66
Replace Walter H. Traub with:
Walter H. Traub Germany
Abigail A. Salyers United States
Stefania Zanetti Italy
Susumu Mitsuhashi Japan
Stephan Fuchs Germany
Michael N. Alekshun United States
Laura M. McMurry United States
Michael A. Lobritz United States
Isabel Garcı́a Spain
Jugsharan Singh Virdi India
G Satta relative to Walter H. Traub Germany Walter H. Traub's profile →
Citations per field
00.5×3.4×
Walter H. Traub · 1×
Citations per year

Countries citing papers authored by G Satta

Since Specialization
Citations

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

Fields of papers citing papers by G Satta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20231
4 20227
5 20213
6
Identification of ticks collected in two areas of Sardinia
20062
7 19985
8 199611
9 19964
10 199541
11
PBP binding and periplasmic concentration as determinants of the antibacterial activities of three new oral cephalosporins in Escherichia coli.
19941
12 199428
13 199411
14 199327
15 199213
16 199118
17 199022
18 198919
19 19884
20
Analysis of the penicillin binding proteins in the membranes of staphylococci of different lyogroups (or species)
19816

About G Satta

G Satta is a scholar working on Molecular Medicine, Endocrinology, Pharmacology, Infectious Diseases and Clinical Biochemistry, having authored 141 papers that have together received 2.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (37 papers), Antimicrobial Resistance in Staphylococcus (25 papers), Bacterial Genetics and Biotechnology (22 papers), Bacteriophages and microbial interactions (21 papers), Antibiotics Pharmacokinetics and Efficacy (20 papers), Bacterial biofilms and quorum sensing (11 papers), Bacterial Identification and Susceptibility Testing (11 papers) and Streptococcal Infections and Treatments (9 papers). The work is most often cited by research in Molecular Medicine (726 citations), Endocrinology (315 citations), Clinical Biochemistry (327 citations), Infectious Diseases (793 citations) and Applied Microbiology and Biotechnology (66 citations). G Satta has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include Roberta Fontana, Pietro Canepari, Pietro E. Varaldo, Gian María Rossolini, Maria M. Lleò, Orietta Massidda, Giuseppe Cornaglia, Renato Fontana, Marzia Boaretti and Roberto Fontana. Their work appears in journals such as Journal of Bacteriology, Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Infection and Immunity and The Journal of Antibiotics.

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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2026