Gabriele Casadei
- Molecular Biology
- Molecular Medicine top 2%
- Pharmacology top 10%
- Food Science top 5%
- Infectious Diseases top 10%
- Co-authors
- Kim LewisTerence I. MoyAnthony R. BallFrederick M. AusubelJohn B. BremnerJonah Larkins‐FordSiritron SamosornMarco Tamba
- Topics
- Salmonella and Campylobacter epidemiology (6 papers)Antibiotic Resistance in Bacteria (4 papers)Listeria monocytogenes in Food Safety (4 papers)
- Cited by
- AgingMolecular MedicineEndocrinology
- Journals
- Proceedings of the National Academy of SciencesApplied and Environmental MicrobiologyScientific Reports
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Gabriele Casadei
25 papers receiving 934 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 389
- Molecular Medicine 193
- Pharmacology 171
- Food Science 158
- Infectious Diseases 145
Countries citing papers authored by Gabriele Casadei
This map shows the geographic impact of Gabriele Casadei'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 Gabriele Casadei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Casadei more than expected).
Fields of papers citing papers by Gabriele Casadei
This network shows the impact of papers produced by Gabriele Casadei. 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 Gabriele Casadei. The network helps show where Gabriele Casadei may publish in the future.
Co-authorship network of co-authors of Gabriele Casadei
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Casadei. A scholar is included among the top collaborators of Gabriele Casadei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriele Casadei. Gabriele Casadei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 66 | |
| 6 | 12 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 37 | |
| 10 | 21 | |
| 11 | 13 | |
| 12 | 23 | |
| 13 | 29 | |
| 14 | 86 | |
| 15 | 166 | |
| 16 | 70 | |
| 17 | 230 | |
| 18 | 60 | |
| 19 | Influence of diet on microbial community structure and activity in the intestinal tract of weanling pigs | 2 |
| 20 | 15 |
About Gabriele Casadei
Gabriele Casadei is a scholar working on Aging, Molecular Medicine and Endocrinology, having authored 25 papers that have together received 957 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Antibiotic Resistance in Bacteria (4 papers) and Listeria monocytogenes in Food Safety (4 papers). The work is most often cited by research in Aging (129 citations), Molecular Medicine (193 citations) and Endocrinology (76 citations). Gabriele Casadei has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Kim Lewis, Terence I. Moy, Anthony R. Ball, Frederick M. Ausubel, John B. Bremner, Jonah Larkins‐Ford, Siritron Samosorn, Marco Tamba, Annie L. Conery and Ralph Mazitschek. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Scientific Reports.
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.