Daniela Cavalleri

443 citations
17 papers · 350 · h-index 13

Impact in

    • Vector-borne infectious diseases
    • Parasitic Infections and Diagnostics
    • Dermatological diseases and infestations
    • Viral Infections and Vectors

Papers in

    • Vector-borne infectious diseases 7
    • Parasites and Host Interactions 2
    • Parasitic Infections and Diagnostics 1
    • Helminth infection and control 2

Daniela Cavalleri

17 papers receiving 339 citations

Peers

Daniela Cavalleri
Comparison fields: 5 of 30
  • Parasitology 150
  • Infectious Diseases 81
  • Small Animals 33
  • Insect Science 47
  • Dermatology 9
Replace Steve Nanchen with:
Steve Nanchen United States
Hasan Yılmaz Türkiye
Zeynep Taş Cengiz Türkiye
Ian David Woolsey Norway
Maggie Fisher United Kingdom
Sherri L. Porcelain United States
Marcela Figuerêdo Duarte Moraes Brazil
François Drabo Burkina Faso
Alfredo Seijo Argentina
G. Sanna Italy
Daniela Cavalleri relative to Steve Nanchen United States Steve Nanchen's profile →
Citations per field
00.5×1.5×
Steve Nanchen · 1×
Citations per year

Countries citing papers authored by Daniela Cavalleri

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cavalleri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniela Cavalleri, 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 Daniela Cavalleri Line = papers co-authored together Daniela Cavalleri links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201835
2 201732
3 201731
4 201731
5 201729
6 201726
7 201725
8 201723
9 201720
10 201818
11 201813
12 201813
13 201712
14 201812
15 200412
16 201811
17 20047

About Daniela Cavalleri

Daniela Cavalleri is a scholar working on Parasitology, Small Animals, Infectious Diseases, Organic Chemistry and Surgery, having authored 17 papers that have together received 350 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (7 papers), Parasites and Host Interactions (2 papers), Helminth infection and control (2 papers), Parasitic Diseases Research and Treatment (1 paper) and Parasitic Infections and Diagnostics (1 paper). The work is most often cited by research in Parasitology (150 citations), Infectious Diseases (81 citations), Small Animals (33 citations), Insect Science (47 citations) and Dermatology (9 citations). Daniela Cavalleri has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Steve Nanchen, Martin Murphy, Wolfgang Seewald, Jason Drake, Daniela Karadzovska, Scott Wiseman, G. Büscher, Roberto Garcia, Robert Cody and C. Genchi. Their work appears in journals such as Parasites & Vectors, Veterinary Record and Veterinary Parasitology.

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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