Daniela Manunta

413 citations
11 papers · 329 · h-index 9

Impact in

Papers in

Daniela Manunta

11 papers receiving 311 citations

Peers

Daniela Manunta
Comparison fields: 5 of 33
  • Microbiology 202
  • Agronomy and Crop Science 133
  • Immunology 124
  • Infectious Diseases 96
  • Ecology, Evolution, Behavior and Systematics 97
Replace Valérie Rodrigues with:
Valérie Rodrigues France
E V Langford Canada
S. S. Stone United States
Roberto Soares de Castro Brazil
Mamadou Niang Mali
K Petzoldt Germany
Lindert Benedictus Netherlands
Sonia Alejandra Romera Argentina
Melissa Buzinhani Brazil
H. P. Chu United Kingdom
Daniela Manunta relative to Valérie Rodrigues France Valérie Rodrigues's profile →
Citations per field
00.5×3.7×
Valérie Rodrigues · 1×
Citations per year

Countries citing papers authored by Daniela Manunta

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Manunta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 199778
2 201775
3 199650
4 199638
5 201820
6 200717
7 201917
8 199916
9 200613
10 20013
11 20182

About Daniela Manunta

Daniela Manunta is a scholar working on Microbiology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Immunology and Ecology, having authored 11 papers that have together received 329 indexed citations. Recurring topics across this work include Microbial infections and disease research (7 papers), Aquaculture disease management and microbiota (4 papers), Vector-Borne Animal Diseases (4 papers), Animal Disease Management and Epidemiology (4 papers), Bacteriophages and microbial interactions (3 papers), Blood groups and transfusion (2 papers), Viral Infections and Vectors (2 papers) and Agriculture and Farm Safety (2 papers). The work is most often cited by research in Microbiology (202 citations), Agronomy and Crop Science (133 citations), Immunology (124 citations), Infectious Diseases (96 citations) and Ecology, Evolution, Behavior and Systematics (97 citations). Daniela Manunta has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Angela Maria Rocchigiani, Guido Leori, Sebastiana Tola, Grazia Galleri, Giantonella Puggioni, Annalisa Oggiano, Giovanni Savini, Ida Casciano, Armando Giovannini and Massimo Spedicato. Their work appears in journals such as Veterinary Microbiology, Infection Genetics and Evolution, Small Ruminant Research, Veterinary Record and Journal of Virology.

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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