G. Arcieri

1.1k citations
17 papers · 943 indexed · h-index 11

Impact in

    • Antibiotic Resistance in Bacteria
    • Antibiotics Pharmacokinetics and Efficacy
    • Drug-Induced Adverse Reactions

Papers in

G. Arcieri

16 papers receiving 803 citations

Peers

G. Arcieri
Comparison fields: 5 of 99
  • Molecular Medicine 212
  • Pharmacology 603
  • Clinical Biochemistry 87
  • Applied Microbiology and Biotechnology 23
  • Microbiology 52
Replace William K. Lau with:
William K. Lau United States
Denis Beauchamp Canada
Richard B. Prior United States
Louise J. Riff United States
Martine Muffat‐Joly France
Pilar Coronel Spain
Roberto Bandettini Italy
F. P. V. Maesen Netherlands
A. P. Ball United Kingdom
Herbert M. Sommers United States
G. Arcieri relative to William K. Lau United States William K. Lau's profile →
Citations per field
00.5×2.7×
William K. Lau · 1×
Citations per year

Countries citing papers authored by G. Arcieri

Since Specialization
Citations

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

Fields of papers citing papers by G. Arcieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside G. Arcieri, 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. Arcieri Line = papers co-authored together G. Arcieri links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1991118
2 198945
3 198972
4 198873
5 198819
6
Ciprofloxacin: an update on clinical experience.
1987109
7 198655
8 19833
9 19825
10 19793
11 19781
12 197693
13 19762
14 1971204
15 197023
16 1969118
17
[Diagnosis and treatment of depressive states].
19650

About G. Arcieri

G. Arcieri is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Pharmacology, Clinical Biochemistry and Ophthalmology, having authored 17 papers that have together received 943 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (13 papers), Antibiotic Resistance in Bacteria (5 papers), Antibiotic Use and Resistance (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Ocular Infections and Treatments (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Pharmaceutical studies and practices (2 papers) and Historical Medical Research and Treatments (1 paper). The work is most often cited by research in Molecular Medicine (212 citations), Pharmacology (603 citations), Clinical Biochemistry (87 citations), Applied Microbiology and Biotechnology (23 citations) and Microbiology (52 citations). G. Arcieri has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include P. Schacht, R Hullmann, Hobart M. Smith, Barbara O’Brien, Allen Heyd, Nancy Becker, Eric C. Griffith, George H. Miller, J. Allan Waitz and Marvin Weinstein. Their work appears in journals such as Infection, The Journal of Infectious Diseases, The American Journal of Medicine, Journal of Antimicrobial Chemotherapy and Annals of Internal Medicine.

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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