M. L. Pacciarini
- Infectious Diseases top 5%
- Epidemiology
- Animal Science and Zoology top 5%
- Agronomy and Crop Science top 5%
- Parasitology top 5%
- Co-authors
- Cesare RossiPaola FusiLorenzo CapucciAntonio LavazzaSilvia TagliabueStefano MorabitoAlfredo CaprioliMaría Beatrice Boniotti
- Topics
- Tuberculosis Research and Epidemiology (11 papers)Mycobacterium research and diagnosis (11 papers)Leptospirosis research and findings (5 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
M. L. Pacciarini
24 papers receiving 596 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 417
- Epidemiology 231
- Animal Science and Zoology 127
- Agronomy and Crop Science 100
- Parasitology 94
Countries citing papers authored by M. L. Pacciarini
This map shows the geographic impact of M. L. Pacciarini'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 M. L. Pacciarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. L. Pacciarini more than expected).
Fields of papers citing papers by M. L. Pacciarini
This network shows the impact of papers produced by M. L. Pacciarini. 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 M. L. Pacciarini. The network helps show where M. L. Pacciarini may publish in the future.
Co-authorship network of co-authors of M. L. Pacciarini
This figure shows the co-authorship network connecting the top 25 collaborators of M. L. Pacciarini. A scholar is included among the top collaborators of M. L. Pacciarini 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 M. L. Pacciarini. M. L. Pacciarini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 20 | |
| 3 | 31 | |
| 4 | 21 | |
| 5 | 16 | |
| 6 | Typing of Mycobacterium avium subsp. paratuberculosis (MAP) strains isolated from different Italian regions by four variable-number tandem repeat (VNTR) methods alone or in association. | 4 |
| 7 | 31 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | Indagine sulla presenza di Leptospira in suini regolarmente macellati. | 1 |
| 12 | 73 | |
| 13 | 5 | |
| 14 | 170 | |
| 15 | 18 | |
| 16 | 26 | |
| 17 | 43 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 23 |
About M. L. Pacciarini
M. L. Pacciarini is a scholar working on Infectious Diseases, Parasitology and Small Animals, having authored 24 papers that have together received 638 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (11 papers) and Leptospirosis research and findings (5 papers). The work is most often cited by research in Infectious Diseases (417 citations), Endocrinology (75 citations) and Parasitology (94 citations). M. L. Pacciarini has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Cesare Rossi, Paola Fusi, Lorenzo Capucci, Antonio Lavazza, Silvia Tagliabue, Stefano Morabito, Alfredo Caprioli, María Beatrice Boniotti, S. Bonardi and Wolfgang M. Prodinger. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology and Emerging infectious diseases.
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.