Michele Equestre
- Infectious Diseases top 2%
- Hepatology top 1%
- Epidemiology top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Anna Rita CiccaglioneRoberto BruniCinzia MarcantonioAngela CostantinoGiuseppina La RosaM. IaconelliStefania TaffonS. Della Libera
- Topics
- Viral gastroenteritis research and epidemiology (25 papers)Hepatitis Viruses Studies and Epidemiology (24 papers)Hepatitis C virus research (22 papers)
- Partner nations
- ItalyUnited StatesBulgaria
In The Last Decade
Michele Equestre
68 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Infectious Diseases 646
- Hepatology 587
- Epidemiology 362
- Molecular Biology 347
- Cardiology and Cardiovascular Medicine 227
Countries citing papers authored by Michele Equestre
This map shows the geographic impact of Michele Equestre'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 Michele Equestre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Equestre more than expected).
Fields of papers citing papers by Michele Equestre
This network shows the impact of papers produced by Michele Equestre. 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 Michele Equestre. The network helps show where Michele Equestre may publish in the future.
Co-authorship network of co-authors of Michele Equestre
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Equestre. A scholar is included among the top collaborators of Michele Equestre 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 Michele Equestre. Michele Equestre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 28 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 53 | |
| 8 | 30 | |
| 9 | 21 | |
| 10 | 18 | |
| 11 | A family cluster of hepatitis A virus due to an uncommon IA strain circulating in Campania (southern Italy), not associated with raw shellfish or berries: a wake-up call to implement vaccination against hepatitis A? | 6 |
| 12 | 13 | |
| 13 | 30 | |
| 14 | 69 | |
| 15 | 31 | |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 24 | |
| 19 | 22 | |
| 20 | 3 |
About Michele Equestre
Michele Equestre is a scholar working on Hepatology, Infectious Diseases and Virology, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (25 papers), Hepatitis Viruses Studies and Epidemiology (24 papers) and Hepatitis C virus research (22 papers). The work is most often cited by research in Hepatology (587 citations), Infectious Diseases (646 citations) and Neurology (89 citations). Michele Equestre has collaborated with scholars based in Italy, United States and Bulgaria. Frequent co-authors include Anna Rita Ciccaglione, Roberto Bruni, Cinzia Marcantonio, Angela Costantino, Giuseppina La Rosa, M. Iaconelli, Stefania Taffon, S. Della Libera, Michele Muscillo and Elena Tritarelli. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Applied and Environmental 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.