M. Di Rocco

33 total papers · 485 total citations
20 papers, 364 citations indexed

About

M. Di Rocco is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, M. Di Rocco has authored 20 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in M. Di Rocco's work include T-cell and B-cell Immunology (10 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). M. Di Rocco is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Cytomegalovirus and herpesvirus research (4 papers). M. Di Rocco collaborates with scholars based in Italy, United States and Morocco. M. Di Rocco's co-authors include Bijorn Omar Balzamino, Luigi Aloe, Alessandra Micera, D. Adorno, A. Canossi, Andrea Rossi, Roberta Biancheri, Paolo Tortori‐Donati, Mirella Filocamo and Valentina Bordignon and has published in prestigious journals such as Neurology, Journal of the Neurological Sciences and European Journal of Pediatrics.

In The Last Decade

M. Di Rocco

19 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
M. Di Rocco	118	73	57	56	34	20	364
Malcolm Rabie	108 0.9×	66 0.9×	75 1.3×	36 0.6×	32 0.9×	17	310
Ann Schwartz	91 0.8×	85 1.2×	22 0.4×	34 0.6×	30 0.9×	17	312
Junming Ye	140 1.2×	75 1.0×	24 0.4×	28 0.5×	43 1.3×	22	374
Romulo de Castro	149 1.3×	122 1.7×	42 0.7×	30 0.5×	24 0.7×	18	361
Run Xiao	126 1.1×	45 0.6×	68 1.2×	90 1.6×	24 0.7×	17	403
Min Chen	114 1.0×	40 0.5×	44 0.8×	40 0.7×	30 0.9×	19	380
Christian J. Hoffmann	157 1.3×	53 0.7×	41 0.7×	30 0.5×	32 0.9×	20	333
Yael Feinstein	205 1.7×	112 1.5×	30 0.5×	31 0.6×	34 1.0×	24	396
A. M. Strefling	84 0.7×	61 0.8×	36 0.6×	55 1.0×	35 1.0×	16	327
Walison N. Silva	144 1.2×	87 1.2×	43 0.8×	40 0.7×	24 0.7×	19	389

Countries citing papers authored by M. Di Rocco

Since Specialization

Citations

This map shows the geographic impact of M. Di Rocco'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 Rocco 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 Rocco more than expected).

Fields of papers citing papers by M. Di Rocco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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