Fabio D’Amico

57 total papers · 981 total citations
40 papers, 760 citations indexed

About

Fabio D’Amico is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Fabio D’Amico has authored 40 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Immunology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Fabio D’Amico's work include S100 Proteins and Annexins (9 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Immune Response and Inflammation (5 papers). Fabio D’Amico is often cited by papers focused on S100 Proteins and Annexins (9 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Immune Response and Inflammation (5 papers). Fabio D’Amico collaborates with scholars based in Italy, United States and Russia. Fabio D’Amico's co-authors include Evangelia Skarmoutsou, María Clorinda Mazzarino, Franca Stivala, Grazia Malaponte, Chiara Maria Trovato, Massimo Libra, Valentina Bevelacqua, James A. McCubrey, Michelino Di Rosa and Lucia Malaguarnera and has published in prestigious journals such as Blood, The American Journal of Cardiology and Cellular and Molecular Life Sciences.

In The Last Decade

Fabio D’Amico

38 papers receiving 741 citations

Author Peers

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

Author						Papers	Cites
Fabio D’Amico	254	244	132	80	61	40	760
A. Ciccarelli	276 1.1×	239 1.0×	121 0.9×	44 0.6×	33 0.5×	40	823
Ann L. Moore	418 1.6×	346 1.4×	137 1.0×	75 0.9×	36 0.6×	31	875
Kun Shi	284 1.1×	174 0.7×	81 0.6×	42 0.5×	43 0.7×	35	696
Takehiko Koji	353 1.4×	128 0.5×	90 0.7×	49 0.6×	45 0.7×	42	820
Fumio Ishikawa	188 0.7×	358 1.5×	134 1.0×	69 0.9×	65 1.1×	30	786
Vera Samoilova	252 1.0×	190 0.8×	97 0.7×	55 0.7×	74 1.2×	33	794
Miguel Fribourg	309 1.2×	413 1.7×	115 0.9×	163 2.0×	22 0.4×	42	906
Xuyan Yang	270 1.1×	354 1.5×	65 0.5×	65 0.8×	45 0.7×	28	699
Huilan Wang	292 1.1×	110 0.5×	94 0.7×	83 1.0×	26 0.4×	60	714
R W Barton	259 1.0×	269 1.1×	73 0.6×	56 0.7×	33 0.5×	21	843

Countries citing papers authored by Fabio D’Amico

Since Specialization

Citations

This map shows the geographic impact of Fabio 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 Fabio 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 Fabio D’Amico more than expected).

Fields of papers citing papers by Fabio D’Amico

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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