Monica Pendolino

53 total papers · 1.1k total citations
28 papers, 695 citations indexed

About

Monica Pendolino is a scholar working on Rheumatology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Monica Pendolino has authored 28 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Rheumatology, 10 papers in Immunology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Monica Pendolino's work include Systemic Lupus Erythematosus Research (9 papers), Rheumatoid Arthritis Research and Therapies (8 papers) and Systemic Sclerosis and Related Diseases (7 papers). Monica Pendolino is often cited by papers focused on Systemic Lupus Erythematosus Research (9 papers), Rheumatoid Arthritis Research and Therapies (8 papers) and Systemic Sclerosis and Related Diseases (7 papers). Monica Pendolino collaborates with scholars based in Italy, United States and Belgium. Monica Pendolino's co-authors include Guido Valesini, Cristiano Alessandri, Yehuda Shoenfeld, Fabrizio Conti, Viviana Antonella Pacucci, Maria Chiara Gerardi, Cristina Iannuccelli, Riccardo Mancini, Carlo Perricone and Tania Colasanti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Arthritis Research & Therapy.

In The Last Decade

Monica Pendolino

27 papers receiving 684 citations

Author Peers

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

Author						Papers	Cites
Monica Pendolino	360	205	155	133	121	28	695
Yufeng Yin	357 1.0×	274 1.3×	148 1.0×	86 0.6×	182 1.5×	36	792
R Fleischmann	378 1.1×	215 1.0×	90 0.6×	74 0.6×	189 1.6×	30	678
Vincent Poindron	367 1.0×	286 1.4×	69 0.4×	79 0.6×	110 0.9×	40	726
J Masuyama	258 0.7×	237 1.2×	94 0.6×	92 0.7×	71 0.6×	24	717
Norifumi Sawamukai	357 1.0×	264 1.3×	103 0.7×	65 0.5×	134 1.1×	25	669
Yair Molad	366 1.0×	229 1.1×	84 0.5×	64 0.5×	102 0.8×	29	692
Ricardo Pineda-Tamayo	333 0.9×	215 1.0×	87 0.6×	74 0.6×	42 0.3×	25	610
Sandrine Jousse	385 1.1×	314 1.5×	78 0.5×	139 1.0×	44 0.4×	22	765
Yukiko Komano	268 0.7×	196 1.0×	138 0.9×	59 0.4×	76 0.6×	23	615
Rawle M. McIntosh	152 0.4×	168 0.8×	97 0.6×	78 0.6×	127 1.0×	30	711

Countries citing papers authored by Monica Pendolino

Since Specialization

Citations

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

Fields of papers citing papers by Monica Pendolino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Pendolino

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