Chiara Palmieri

222 total papers · 1.9k total citations
116 papers, 1.3k citations indexed

About

Chiara Palmieri is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Small Animals. According to data from OpenAlex, Chiara Palmieri has authored 116 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pulmonary and Respiratory Medicine, 28 papers in Molecular Biology and 20 papers in Small Animals. Recurrent topics in Chiara Palmieri's work include Veterinary Oncology Research (32 papers), Microbial infections and disease research (10 papers) and Reproductive Physiology in Livestock (10 papers). Chiara Palmieri is often cited by papers focused on Veterinary Oncology Research (32 papers), Microbial infections and disease research (10 papers) and Reproductive Physiology in Livestock (10 papers). Chiara Palmieri collaborates with scholars based in Australia, Italy and United States. Chiara Palmieri's co-authors include Leonardo Della Salda, Pasqualino Loi, Grazyna Ptak, Valeria Grieco, H. L. Shivaprasad, Renée Laufer Amorim, Carlos Eduardo Fonseca‐Alves, Josef Fulka, J. Fulka and Sugako Ogushi and has published in prestigious journals such as Science, Nature Communications and Journal of Virology.

In The Last Decade

Chiara Palmieri

105 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chiara Palmieri 449 313 276 185 151 116 1.3k
Leonardo Della Salda 455 1.0× 303 1.0× 134 0.5× 232 1.3× 154 1.0× 116 1.3k
Charles W. Leathers 436 1.0× 164 0.5× 108 0.4× 249 1.3× 142 0.9× 55 1.6k
W. Drommer 233 0.5× 161 0.5× 305 1.1× 116 0.6× 130 0.9× 123 1.7k
Robert J. Bischof 238 0.5× 438 1.4× 168 0.6× 88 0.5× 102 0.7× 64 1.8k
Fabio Gentilini 184 0.4× 227 0.7× 90 0.3× 99 0.5× 298 2.0× 70 1.2k
Anne E. Peaston 991 2.2× 307 1.0× 140 0.5× 354 1.9× 134 0.9× 46 1.6k
Béla Dénes 293 0.7× 325 1.0× 78 0.3× 214 1.2× 78 0.5× 83 1.6k
Howard Μ. Hayes 261 0.6× 524 1.7× 90 0.3× 338 1.8× 382 2.5× 49 1.6k
Sudarshan Kumar 599 1.3× 80 0.3× 329 1.2× 317 1.7× 60 0.4× 124 1.8k
Μ. D. McGavin 281 0.6× 239 0.8× 72 0.3× 149 0.8× 295 2.0× 48 1.5k

Countries citing papers authored by Chiara Palmieri

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Palmieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Palmieri

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Palmieri. A scholar is included among the top collaborators of Chiara Palmieri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chiara Palmieri. Chiara Palmieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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