C. Palestrini

113 total papers · 1.4k total citations
51 papers, 953 citations indexed

About

C. Palestrini is a scholar working on Genetics, Small Animals and Social Psychology. According to data from OpenAlex, C. Palestrini has authored 51 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Genetics, 29 papers in Small Animals and 11 papers in Social Psychology. Recurrent topics in C. Palestrini's work include Human-Animal Interaction Studies (40 papers), Animal Behavior and Welfare Studies (24 papers) and Neuroendocrine regulation and behavior (10 papers). C. Palestrini is often cited by papers focused on Human-Animal Interaction Studies (40 papers), Animal Behavior and Welfare Studies (24 papers) and Neuroendocrine regulation and behavior (10 papers). C. Palestrini collaborates with scholars based in Italy, Canada and United Kingdom. C. Palestrini's co-authors include Simona Cannas, Diane Frank, Michela Minero, Emanuela Prato Previde, Guy Beauchamp, Marina Verga, Caterina Spiezio, Emanuela Rossi, Valeria Calcaterra and Glória Pelizzo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Applied Animal Behaviour Science.

In The Last Decade

C. Palestrini

46 papers receiving 901 citations

Author Peers

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

Author						Papers	Cites
C. Palestrini	738	447	186	160	153	51	953
Diane Frank	637 0.9×	523 1.2×	162 0.9×	154 1.0×	107 0.7×	44	963
Sarah Heath	670 0.9×	582 1.3×	175 0.9×	206 1.3×	66 0.4×	55	1.1k
Claudio Sighieri	847 1.1×	539 1.2×	288 1.5×	195 1.2×	125 0.8×	75	1.2k
Emily Blackwell	966 1.3×	590 1.3×	193 1.0×	182 1.1×	103 0.7×	44	1.2k
Katriina Tiira	758 1.0×	309 0.7×	242 1.3×	66 0.4×	123 0.8×	44	1.1k
Shanis Barnard	788 1.1×	483 1.1×	284 1.5×	104 0.7×	90 0.6×	46	947
Stefanie Riemer	633 0.9×	428 1.0×	256 1.4×	117 0.7×	48 0.3×	49	808
Aubrey H. Fine	861 1.2×	296 0.7×	212 1.1×	230 1.4×	121 0.8×	34	1.1k
Helen Zulch	596 0.8×	463 1.0×	138 0.7×	116 0.7×	50 0.3×	39	921
Marta Borgi	570 0.8×	168 0.4×	305 1.6×	86 0.5×	102 0.7×	41	1.2k

Countries citing papers authored by C. Palestrini

Since Specialization

Citations

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

Fields of papers citing papers by C. Palestrini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Palestrini

This figure shows the co-authorship network connecting the top 25 collaborators of C. Palestrini. A scholar is included among the top collaborators of C. Palestrini 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 C. Palestrini. C. Palestrini 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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