Lorena Sacchini

654 citations
20 papers · 517 · h-index 12

Impact in

    • Brucella: diagnosis, epidemiology, treatment
    • Salmonella and Campylobacter epidemiology

Papers in

    • Brucella: diagnosis, epidemiology, treatment 8
    • Salmonella and Campylobacter epidemiology 8
    • Probiotics and Fermented Foods 2

Lorena Sacchini

20 papers receiving 499 citations

Peers

Lorena Sacchini
Comparison fields: 5 of 34
  • Small Animals 267
  • Food Science 165
  • Clinical Biochemistry 14
  • Molecular Medicine 17
  • Applied Microbiology and Biotechnology 5
Replace Miryan Margot Sánchez‐Jiménez with:
Miryan Margot Sánchez‐Jiménez Colombia
Rebecca Franklin‐Guild United States
Amanda Jo Kreuder United States
Guido Di Donato Italy
T. La Australia
Matthew M. Erdman United States
Awatef Béjaoui Tunisia
Alessandra Alessiani Italy
Vilas M. Vaidya India
Kevin F. Reilly United States
Lorena Sacchini relative to Miryan Margot Sánchez‐Jiménez Colombia Miryan Margot Sánchez‐Jiménez's profile →
Citations per field
00.5×2×4×6.5×
Miryan Margot Sánchez‐Jiménez · 1×
Citations per year

Countries citing papers authored by Lorena Sacchini

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Sacchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201975
2 201867
3 201967
4 201452
5 201637
6 201934
7 201930
8 201728
9 201827
10 201624
11 201420
12 201917
13 20128
14 20127
15 20147
16 20187
17 20214
18 20214
19 20151
20 20211

About Lorena Sacchini

Lorena Sacchini is a scholar working on Small Animals, Food Science, Clinical Biochemistry, Infectious Diseases and Genetics, having authored 20 papers that have together received 517 indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (8 papers), Salmonella and Campylobacter epidemiology (8 papers), Probiotics and Fermented Foods (2 papers), Yersinia bacterium, plague, ectoparasites research (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Small Animals (267 citations), Food Science (165 citations), Clinical Biochemistry (14 citations), Molecular Medicine (17 citations) and Applied Microbiology and Biotechnology (5 citations). Lorena Sacchini has collaborated with scholars based in Italy, Sweden and Bangladesh. Frequent co-authors include Elisabetta Di Giannatale, Giuliano Garofolo, Katiuscia Zilli, Guido Di Donato, Alessandra Alessiani, Fabrizio De Massis, Francesca Marotta, Anna Janowicz, Roberta Nuvoloni and Gabriella Di Serafino. Their work appears in journals such as PLoS ONE, Applied Sciences, Journal of Clinical Microbiology, BMC Microbiology and Eurosurveillance.

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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