A Luciani

38 papers receiving 672 citations

Peers

A Luciani
Comparison fields: 5 of 84
  • Small Animals 136
  • Equine 16
  • Parasitology 59
  • Endocrinology, Diabetes and Metabolism 126
  • Animal Science and Zoology 74
Replace Morena Di Tommaso with:
Morena Di Tommaso Italy
Dimitra Psalla Greece
Kun‐Ho Song South Korea
Michal Mazaki‐Tovi Israel
Željko Grabarević Croatia
Katsuya KIDA Japan
Susan L. Longhofer United States
Donald C. Plumb Hungary
Christelle Navarro France
Hui‐Pi Huang Taiwan
A Luciani relative to Morena Di Tommaso Italy Morena Di Tommaso's profile →
Citations per field
00.5×4.7×
Morena Di Tommaso · 1×
Citations per year

Countries citing papers authored by A Luciani

Since Specialization
Citations

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

Fields of papers citing papers by A Luciani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A Luciani. 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 A Luciani. The network helps show where A Luciani may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004105
2 200267
3 200557
4 201149
5 200549
6 200948
7 201646
8 201635
9 201530
10 201324
11 201519
12 202115
13 202014
14 202013
15 201212
16 198711
17 20169
18 20189
19
Seroprevalence of Neospora spp. in asymptomatic horses in Italy.
20098
20 20218

About A Luciani

A Luciani is a scholar working on Small Animals, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Surgery and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 695 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Cardiovascular Conditions and Treatments (4 papers), Diabetes Management and Research (3 papers), Virus-based gene therapy research (3 papers), Parasite Biology and Host Interactions (3 papers), Pancreatic function and diabetes (3 papers), Mollusks and Parasites Studies (3 papers) and Animal health and immunology (3 papers). The work is most often cited by research in Small Animals (136 citations), Equine (16 citations), Parasitology (59 citations), Endocrinology, Diabetes and Metabolism (126 citations) and Animal Science and Zoology (74 citations). A Luciani has collaborated with scholars based in Italy, Poland and United States. Frequent co-authors include Andrea Boari, Domenico Santori, Morena Di Tommaso, Carlo Guglielmini, R Zandomeneghi, Paolo Emidio Crisi, A Gnudi, R Lugari, D. Ugolotti and Alessandra Dei. Their work appears in journals such as Veterinary Research Communications, Journal of the American Veterinary Medical Association, Animals, Journal of Feline Medicine and Surgery and Frontiers in Veterinary Science.

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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