Alessandra Lo Sciuto

471 citations
16 papers · 368 · h-index 11

Impact in

Papers in

Alessandra Lo Sciuto

16 papers receiving 362 citations

Peers

Alessandra Lo Sciuto
Comparison fields: 5 of 58
  • Molecular Medicine 174
  • Endocrinology 50
  • Genetics 129
  • Microbiology 28
  • Molecular Biology 196
Replace Brittany L. Nairn with:
Brittany L. Nairn United States
Ui Okada Japan
Yuehua Ke China
Katherine Volzing United States
David C. Marciano United States
Alejandro José Moyano Argentina
Georgia L. Isom United Kingdom
S. M. Hossein Khademi Denmark
Victoriia Murina Estonia
Elizabeth A. Mueller United States
Alessandra Lo Sciuto relative to Brittany L. Nairn United States Brittany L. Nairn's profile →
Citations per field
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Brittany L. Nairn · 1×
Citations per year

Countries citing papers authored by Alessandra Lo Sciuto

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Lo Sciuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandra Lo Sciuto. 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 Alessandra Lo Sciuto. The network helps show where Alessandra Lo Sciuto may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201769
2 201455
3 201840
4 201535
5 201729
6 201925
7 202124
8 202022
9 202017
10 202213
11 202312
12 202210
13 20207
14 20224
15 20244
16 20252

About Alessandra Lo Sciuto

Alessandra Lo Sciuto is a scholar working on Molecular Medicine, Genetics, Endocrinology, Molecular Biology and Pollution, having authored 16 papers that have together received 368 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Antibiotic Resistance in Bacteria (12 papers), Bacterial biofilms and quorum sensing (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Drug Transport and Resistance Mechanisms (2 papers), DNA Repair Mechanisms (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (174 citations), Endocrinology (50 citations), Genetics (129 citations), Microbiology (28 citations) and Molecular Biology (196 citations). Alessandra Lo Sciuto has collaborated with scholars based in Italy, Israel and France. Frequent co-authors include Francesco Imperi, Carmine Mancone, Martina Pasqua, Paolo Visca, Daniela Visaggio, Ehud Banin, Fabiana Superti, Lucia Bertuccini, Francesca Iosi and Alessandra M. Martorana. Their work appears in journals such as Antibiotics, Scientific Reports, Pathogens, Frontiers in Microbiology and Journal of Antimicrobial Chemotherapy.

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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