M. Di Giancamillo

189 total papers · 1.2k total citations
82 papers, 801 citations indexed

About

M. Di Giancamillo is a scholar working on Small Animals, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, M. Di Giancamillo has authored 82 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Small Animals, 24 papers in Pulmonary and Respiratory Medicine and 20 papers in Surgery. Recurrent topics in M. Di Giancamillo's work include Veterinary Oncology Research (20 papers), Veterinary Orthopedics and Neurology (11 papers) and Veterinary Equine Medical Research (10 papers). M. Di Giancamillo is often cited by papers focused on Veterinary Oncology Research (20 papers), Veterinary Orthopedics and Neurology (11 papers) and Veterinary Equine Medical Research (10 papers). M. Di Giancamillo collaborates with scholars based in Italy, United States and United Kingdom. M. Di Giancamillo's co-authors include Chiara Giudice, O. Travetti, Davide Danilo Zani, Damiano Stefanello, Valeria Grieco, Carlo M. Mortellaro, Cristina Cattaneo, S. Modina, A. Belloli and Alessia Di Giancamillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

M. Di Giancamillo

77 papers receiving 771 citations

Author Peers

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

Author						Papers	Cites
M. Di Giancamillo	248	179	165	124	107	82	801
John P. Graham	207 0.8×	156 0.9×	352 2.1×	66 0.5×	110 1.0×	49	876
Júlia Maria Matera	169 0.7×	362 2.0×	234 1.4×	110 0.9×	53 0.5×	120	754
Giacomo Gnudi	112 0.5×	164 0.9×	250 1.5×	73 0.6×	49 0.5×	50	761
Tommaso Banzato	164 0.7×	200 1.1×	92 0.6×	65 0.5×	308 2.9×	53	841
Amalia Agut	150 0.6×	368 2.1×	468 2.8×	48 0.4×	116 1.1×	88	961
Kirsti Witter	143 0.6×	60 0.3×	167 1.0×	95 0.8×	40 0.4×	61	845
Maciej Janeczek	66 0.3×	74 0.4×	133 0.8×	83 0.7×	37 0.3×	140	743
Charles D. Newton	155 0.6×	374 2.1×	459 2.8×	87 0.7×	32 0.3×	23	808
P.H. Kass	257 1.0×	340 1.9×	169 1.0×	153 1.2×	48 0.4×	35	794
Miguel A. Rivero	102 0.4×	108 0.6×	120 0.7×	58 0.5×	44 0.4×	67	789

Countries citing papers authored by M. Di Giancamillo

Since Specialization

Citations

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

Fields of papers citing papers by M. Di Giancamillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Di Giancamillo. 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 M. Di Giancamillo. The network helps show where M. Di Giancamillo may publish in the future.

Co-authorship network of co-authors of M. Di Giancamillo

This figure shows the co-authorship network connecting the top 25 collaborators of M. Di Giancamillo. A scholar is included among the top collaborators of M. Di Giancamillo 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 M. Di Giancamillo. M. Di Giancamillo 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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