Lorena Sacchini
Impact in
- Small Animals top 1%
- Brucella: diagnosis, epidemiology, treatment
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
- Animal Diversity and Health Studies
Papers in
- Food Science 12
- Salmonella and Campylobacter epidemiology 8
- Probiotics and Fermented Foods 3
-
- Brucella: diagnosis, epidemiology, treatment 7
- Co-authors
- Elisabetta Di Giannatale (14 shared papers)Giuliano Garofolo (9 shared papers)Katiuscia Zilli (9 shared papers)Guido Di Donato (5 shared papers)Alessandra Alessiani (7 shared papers)Francesca Marotta (5 shared papers)Fabrizio De Massis (3 shared papers)Anna Janowicz (3 shared papers)
- Journals
- PLoS ONE (3 papers)Food Control (1 paper)International Journal of Dairy Technology (1 paper)Journal of Clinical Microbiology (1 paper)BMC Microbiology (1 paper)
- Partner nations
- ItalySwedenBangladesh
In The Last Decade
Lorena Sacchini
18 papers receiving 425 citations
Peers
Comparison fields: 5 of 45
- Small Animals 251
- Food Science 288
- Endocrinology 38
- Infectious Diseases 91
- Molecular Medicine 24
Countries citing papers authored by Lorena Sacchini
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2019 | 65 | |
| 3 | 2018 | 63 | |
| 4 | 2014 | 51 | |
| 5 | 2016 | 35 | |
| 6 | 2019 | 29 | |
| 7 | 2017 | 27 | |
| 8 | 2018 | 25 | |
| 9 | 2014 | 20 | |
| 10 | 2019 | 17 | |
| 11 | 2012 | 8 | |
| 12 | 2012 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2014 | 6 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2015 | 2 | |
| 18 | 2021 | 1 |
About Lorena Sacchini
Lorena Sacchini is a scholar working on Food Science, Small Animals, Molecular Biology, Infectious Diseases and Ecology, having authored 18 papers that have together received 442 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (8 papers), Brucella: diagnosis, epidemiology, treatment (7 papers), Bacteriophages and microbial interactions (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Probiotics and Fermented Foods (3 papers), Burkholderia infections and melioidosis (3 papers), Genomics and Phylogenetic Studies (2 papers) and Healthcare and Venom Research (1 paper). The work is most often cited by research in Small Animals (251 citations), Food Science (288 citations), Endocrinology (38 citations), Infectious Diseases (91 citations) and Molecular Medicine (24 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, Francesca Marotta, Fabrizio De Massis, Anna Janowicz, Roberta Nuvoloni and Gabriella Di Serafino. Their work appears in journals such as PLoS ONE, Food Control, International Journal of Dairy Technology, Journal of Clinical Microbiology and BMC 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.