S J Cavalieri

864 citations
21 papers · 723 indexed · h-index 13

Impact in

Papers in

S J Cavalieri

20 papers receiving 629 citations

Peers

S J Cavalieri
Comparison fields: 5 of 86
  • Endocrinology 289
  • Microbiology 17
  • Molecular Medicine 110
  • Microbiology 79
  • Infectious Diseases 179
Replace Sara Hull with:
Sara Hull United States
R F D'Amato United States
Marcelo de Carvalho Ramos Brazil
F O Sottnek United States
Silvia Campana Italy
H. W. B. Engel Netherlands
I S Snyder United States
Meiping Ye China
P A Totten United States
Marie B. Coyle United States
S J Cavalieri relative to Sara Hull United States Sara Hull's profile →
Citations per field
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Citations per year

Countries citing papers authored by S J Cavalieri

Since Specialization
Citations

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

Fields of papers citing papers by S J Cavalieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S J Cavalieri. 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 S J Cavalieri. The network helps show where S J Cavalieri may publish in the future.

Co-authors

The 22 scholars most cited alongside S J Cavalieri, 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 S J Cavalieri Line = papers co-authored together S J Cavalieri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199726
2 199525
3 199545
4 199310
5 199214
6 19915
7 19907
8 198913
9
Listeria monocytogenes peritonitis in a patient on continuous ambulatory peritoneal dialysis.
198910
10 198812
11 19882
12
Cellular immunity against Salmonella typhi after live oral vaccine.
198539
13 19852
14 198425
15 198410
16 1984224
17 198258
18 198289
19 198284
20
[A case of neonatal purulent meningitis caused by Citrobacter].
19702

About S J Cavalieri

S J Cavalieri is a scholar working on Microbiology, Endocrinology, Molecular Medicine, Clinical Biochemistry and Infectious Diseases, having authored 21 papers that have together received 723 indexed citations. Recurring topics across this work include Escherichia coli research studies (5 papers), Vibrio bacteria research studies (4 papers), Antibiotic Resistance in Bacteria (4 papers), Mycobacterium research and diagnosis (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Tuberculosis Research and Epidemiology (3 papers), Bacteriophages and microbial interactions (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Endocrinology (289 citations), Microbiology (17 citations), Molecular Medicine (110 citations), Microbiology (79 citations) and Infectious Diseases (179 citations). S J Cavalieri has collaborated with scholars based in United States. Frequent co-authors include I S Snyder, Gregory A. Bohach, William E. Sanders, James T. Rudrik, L Villa, Michael A. Saubolle, G Cazzola, Diana Boraschi, L Nencioni and Aldo Tagliabue. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Infection and Immunity, The American Journal of Medicine and Journal of Medical 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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