Gianluca D’Amico

90 total papers · 1.7k total citations
66 papers, 1.3k citations indexed

About

Gianluca D’Amico is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Gianluca D’Amico has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Parasitology, 46 papers in Infectious Diseases and 20 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Gianluca D’Amico's work include Vector-borne infectious diseases (41 papers), Viral Infections and Vectors (31 papers) and Vector-Borne Animal Diseases (19 papers). Gianluca D’Amico is often cited by papers focused on Vector-borne infectious diseases (41 papers), Viral Infections and Vectors (31 papers) and Vector-Borne Animal Diseases (19 papers). Gianluca D’Amico collaborates with scholars based in Romania, Czechia and India. Gianluca D’Amico's co-authors include Andrei Daniel Mihalca, Angela Monica Ionică, Ioana Adriana Matei, Călin Mircea Gherman, Attila D. Sándor, Mirabela Oana Dumitrache, David Modrý, Zsuzsa Kalmár, Vasile Cozma and Adriana Györke and has published in prestigious journals such as PLoS ONE, International Journal for Parasitology and Veterinary Parasitology.

In The Last Decade

Gianluca D’Amico

62 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
Gianluca D’Amico 950 935 400 252 214 66 1.3k
Adnan Hodžić 1.0k 1.1× 869 0.9× 377 0.9× 240 1.0× 192 0.9× 79 1.6k
Angela Monica Ionică 928 1.0× 980 1.0× 305 0.8× 401 1.6× 266 1.2× 114 1.4k
Andrea Springer 850 0.9× 723 0.8× 373 0.9× 147 0.6× 238 1.1× 83 1.2k
Mirabela Oana Dumitrache 750 0.8× 724 0.8× 352 0.9× 127 0.5× 178 0.8× 53 1.1k
Călin Mircea Gherman 1.0k 1.1× 1.0k 1.1× 400 1.0× 510 2.0× 196 0.9× 99 1.6k
Jairo Alfonso Mendoza‐Roldan 657 0.7× 719 0.8× 230 0.6× 301 1.2× 597 2.8× 106 1.4k
Algimantas Paulauskas 934 1.0× 820 0.9× 526 1.3× 225 0.9× 151 0.7× 167 1.5k
Nathan C. Nieto 946 1.0× 845 0.9× 320 0.8× 100 0.4× 273 1.3× 60 1.4k
Mario Pietrobelli 1.1k 1.1× 773 0.8× 319 0.8× 209 0.8× 645 3.0× 62 1.8k
Paola Scaramozzino 399 0.4× 603 0.6× 328 0.8× 145 0.6× 230 1.1× 55 1.1k

Countries citing papers authored by Gianluca D’Amico

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca D’Amico

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianluca D’Amico. 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 Gianluca D’Amico. The network helps show where Gianluca D’Amico may publish in the future.

Co-authorship network of co-authors of Gianluca D’Amico

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca D’Amico. A scholar is included among the top collaborators of Gianluca D’Amico 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 Gianluca D’Amico. Gianluca D’Amico 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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