Fabrizio Lemma

915 citations
16 papers · 652 · h-index 12

Impact in

    • Antibiotic Resistance in Bacteria
    • Escherichia coli research studies
    • Enterobacteriaceae and Cronobacter Research
    • Vibrio bacteria research studies

Papers in

Fabrizio Lemma

16 papers receiving 646 citations

Peers

Fabrizio Lemma
Comparison fields: 5 of 52
  • Molecular Medicine 481
  • Endocrinology 171
  • Pollution 265
  • Applied Microbiology and Biotechnology 19
  • Clinical Biochemistry 63
Replace Jean-Yves Madec with:
Jean-Yves Madec France
Ivana Jamborová Czechia
Joanne L. Mollinger Australia
Alexandra Irrgang Germany
Supathep Tansirichaiya United Kingdom
Quézia Moura Brazil
Véronique Métayer France
Gongzheng Hu China
Pierre Châtre France
Claudia Feudi Italy
Fabrizio Lemma relative to Jean-Yves Madec France Jean-Yves Madec's profile →
Citations per field
00.5×1.5×2.2×
Jean-Yves Madec · 1×
Citations per year

Countries citing papers authored by Fabrizio Lemma

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Lemma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2017233
2 201686
3 201567
4 201842
5 201438
6 202029
7 201327
8 201927
9 201825
10 200917
11 202017
12 202216
13 201611
14 20177
15 20136
16 20164

About Fabrizio Lemma

Fabrizio Lemma is a scholar working on Molecular Medicine, Pollution, Molecular Biology, Infectious Diseases and Pharmacology, having authored 16 papers that have together received 652 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Biosensors and Analytical Detection (2 papers), Bacteriophages and microbial interactions (2 papers), Identification and Quantification in Food (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Molecular Medicine (481 citations), Endocrinology (171 citations), Pollution (265 citations), Applied Microbiology and Biotechnology (19 citations) and Clinical Biochemistry (63 citations). Fabrizio Lemma has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Luke Randall, Muna F. Anjum, Christopher Teale, Miranda Kirchner, Manal AbuOun, Javier Nuñéz-García, Derrick W. Crook, Richard P. Smith, Emma Stubberfield and Jon Rogers. Their work appears in journals such as Journal of Applied Microbiology, Journal of Antimicrobial Chemotherapy, Veterinary Record, Research in Veterinary Science 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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