Luca Candeloro

1.0k citations
39 papers · 724 · h-index 17

Impact in

  • Virology top 5%
    • Rabies epidemiology and control
    • Animal Behavior and Welfare Studies

Papers in

Luca Candeloro

36 papers receiving 711 citations

Peers

Luca Candeloro
Comparison fields: 5 of 102
  • Virology 124
  • Small Animals 167
  • Modeling and Simulation 53
  • Genetics 276
  • Geography, Planning and Development 53
Replace John Berezowski with:
John Berezowski Switzerland
Gina Polo Brazil
FC BALDOCK Australia
M.G. Garner Australia
Flavie Vial United Kingdom
Eleni Michalopoulou United Kingdom
Wenwu Yin China
Michael Buhnerkempe United States
I Made Damriyasa Indonesia
Didier Calavas France
Luca Candeloro relative to John Berezowski Switzerland John Berezowski's profile →
Citations per field
00.5×2×4×6.6×
John Berezowski · 1×
Citations per year

Countries citing papers authored by Luca Candeloro

Since Specialization
Citations

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

Fields of papers citing papers by Luca Candeloro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200885
2 200780
3 201554
4 201546
5 201640
6 201932
7 201432
8 201031
9 201829
10 200728
11 201625
12 202019
13 201719
14 201818
15 201917
16 201317
17 201916
18 202016
19 201815
20 201514

About Luca Candeloro

Luca Candeloro is a scholar working on Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Infectious Diseases, Small Animals and Genetics, having authored 39 papers that have together received 724 indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Animal Disease Management and Epidemiology (10 papers), Zoonotic diseases and public health (8 papers), Mosquito-borne diseases and control (8 papers), Human-Animal Interaction Studies (7 papers), COVID-19 epidemiological studies (5 papers), Vector-Borne Animal Diseases (5 papers) and Malaria Research and Control (5 papers). The work is most often cited by research in Virology (124 citations), Small Animals (167 citations), Modeling and Simulation (53 citations), Genetics (276 citations) and Geography, Planning and Development (53 citations). Luca Candeloro has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Paolo Dalla Villa, Annamaria Conte, Antonio Di Nardo, Lara Savini, Margaret R. Slater, Paolo Calistri, Armando Giovannini, Fabrizio De Massis, Shanis Barnard and Carla Ippoliti. Their work appears in journals such as Preventive Veterinary Medicine, PLoS ONE, Frontiers in Veterinary Science, Transboundary and Emerging Diseases and International Journal of Food 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.

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