M. L. Pacciarini

927 citations
24 papers · 638 indexed · h-index 14

M. L. Pacciarini

24 papers receiving 596 citations

Peers

M. L. Pacciarini
Comparison fields: 5 of 53
  • Infectious Diseases 417
  • Endocrinology 75
  • Parasitology 94
  • Animal Science and Zoology 127
  • Small Animals 74
Replace D. Hüssy with:
D. Hüssy Switzerland
P. L. Runnels United States
Krzysztof Anusz Poland
Esterina De Carlo Italy
Boris Habrun Croatia
Christian Beuret Switzerland
Tetsu Yamashiro Japan
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Nagendra Nath Barman India
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Citations per field
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Citations per year

Countries citing papers authored by M. L. Pacciarini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20217
2 201820
3 201731
4 201421
5 201216
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.
20094
7 200831
8 20061
9 20058
10 20038
11
Indagine sulla presenza di Leptospira in suini regolarmente macellati.
20001
12 199973
13 19985
14 1996170
15 199518
16 199426
17 199443
18 19934
19 19887
20 198623

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), Leptospirosis research and findings (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Veterinary medicine and infectious diseases (3 papers), Viral Infections and Immunology Research (2 papers), Infectious Diseases and Tuberculosis (2 papers) and Infectious Diseases and Mycology (2 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 Clinical Microbiology, Veterinary Microbiology, Virus Research, Veterinary Record and Journal of Wildlife 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.

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