P. Dall’Ara

1.1k citations
70 papers · 643 · h-index 14

Impact in

Papers in

    • Virus-based gene therapy research 9
    • Human-Animal Interaction Studies 4
    • Herpesvirus Infections and Treatments 7

P. Dall’Ara

64 papers receiving 605 citations

Peers

P. Dall’Ara
Comparison fields: 5 of 98
  • Small Animals 86
  • Parasitology 75
  • Equine 18
  • Agronomy and Crop Science 94
  • Animal Science and Zoology 82
Replace Carlos Magno Chaves Oliveira with:
Carlos Magno Chaves Oliveira Brazil
Paola Pregel Italy
Ki‐Jeong Na South Korea
Douglas L. Armstrong United States
Gunilla Blomqvist Sweden
Christine Ellis United States
Eduardo Juan Gimeno Argentina
U. Orgad Israel
Jason W. Brooks United States
E. Redondo Spain
P. Dall’Ara relative to Carlos Magno Chaves Oliveira Brazil Carlos Magno Chaves Oliveira's profile →
Citations per field
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Carlos Magno Chaves Oliveira · 1×
Citations per year

Countries citing papers authored by P. Dall’Ara

Since Specialization
Citations

This map shows the geographic impact of P. Dall’Ara'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 P. Dall’Ara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Dall’Ara more than expected).

Fields of papers citing papers by P. Dall’Ara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Dall’Ara. 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 P. Dall’Ara. The network helps show where P. Dall’Ara may publish in the future.

Co-authors

The 25 scholars most cited alongside P. Dall’Ara, 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 P. Dall’Ara Line = papers co-authored together P. Dall’Ara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002106
2 199945
3 200538
4 200130
5 201030
6 201929
7 201923
8 201420
9 201418
10 199415
11
Pseudotuberculosis in marmosets, tamarins, and Goeldi's monkeys (Callithrichidae/Callimiconidae) housed at a European zoo.
199915
12 202114
13 201314
14 202113
15 202413
16 201811
17 202311
18 201311
19
Microbiologia e immunologia veterinaria
200511
20 201210

About P. Dall’Ara

P. Dall’Ara is a scholar working on Genetics, Epidemiology, Animal Science and Zoology, Immunology and Infectious Diseases, having authored 70 papers that have together received 643 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Herpesvirus Infections and Treatments (7 papers), Animal Virus Infections Studies (7 papers), Animal health and immunology (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Microbial infections and disease research (5 papers), Prion Diseases and Protein Misfolding (5 papers) and Human-Animal Interaction Studies (4 papers). The work is most often cited by research in Small Animals (86 citations), Parasitology (75 citations), Equine (18 citations), Agronomy and Crop Science (94 citations) and Animal Science and Zoology (82 citations). P. Dall’Ara has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Anders Pape Møller, Nicola Saino, Roberta Martinelli, Stefania Lauzi, Piera Anna Martino, Joel Filipe, Lauretta Turin, M. Morgante, Mariano Pauselli and Marinella Capuccella. Their work appears in journals such as Veterinary Sciences, Frontiers in Veterinary Science, Antibiotics, Animals and Life.

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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