P. Richiardi

80 total papers · 1.2k total citations
47 papers, 1.0k citations indexed

About

P. Richiardi is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, P. Richiardi has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 15 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Molecular Biology. Recurrent topics in P. Richiardi's work include T-cell and B-cell Immunology (18 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Immune Cell Function and Interaction (11 papers). P. Richiardi is often cited by papers focused on T-cell and B-cell Immunology (18 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Immune Cell Function and Interaction (11 papers). P. Richiardi collaborates with scholars based in Italy, United States and Switzerland. P. Richiardi's co-authors include Sandra D’Alfonso, Silvana Compasso, Roberto Scorza, Flemming Pociot, Mara Giordano, Carlotta Castagnoli, G. Magliacani, E.S. Curtoni, Soldano Ferrone and Maurizio Stella and has published in prestigious journals such as Transplantation, Journal of Medical Genetics and Human Genetics.

In The Last Decade

P. Richiardi

46 papers receiving 978 citations

Author Peers

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

Author						Papers	Cites
P. Richiardi	490	161	128	127	123	47	1.0k
G Tonietti	530 1.1×	126 0.8×	133 1.0×	233 1.8×	94 0.8×	53	1.0k
M. Scudeletti	652 1.3×	121 0.8×	116 0.9×	120 0.9×	70 0.6×	63	1.1k
Jacques Clot	719 1.5×	113 0.7×	155 1.2×	128 1.0×	51 0.4×	44	1.2k
J Clot	560 1.1×	100 0.6×	121 0.9×	270 2.1×	129 1.0×	89	1.2k
T. Sasazuki	572 1.2×	268 1.7×	138 1.1×	150 1.2×	148 1.2×	36	1.2k
Makoto Katagiri	564 1.2×	216 1.3×	81 0.6×	134 1.1×	90 0.7×	84	1.1k
A Svejgaard	412 0.8×	83 0.5×	71 0.6×	112 0.9×	85 0.7×	41	833
J.P. Revillard	478 1.0×	239 1.5×	124 1.0×	180 1.4×	133 1.1×	30	1.1k
E J Yunis	431 0.9×	145 0.9×	77 0.6×	54 0.4×	81 0.7×	43	898
Elisabet Cantó	490 1.0×	148 0.9×	162 1.3×	90 0.7×	123 1.0×	49	1.1k

Countries citing papers authored by P. Richiardi

Since Specialization

Citations

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

Fields of papers citing papers by P. Richiardi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Richiardi

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