Antonella Monno

54 total papers · 2.7k total citations
42 papers, 2.2k citations indexed

About

Antonella Monno is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Antonella Monno has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 16 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Antonella Monno's work include Neuroscience and Neuropharmacology Research (7 papers), Inflammatory Myopathies and Dermatomyositis (6 papers) and Endometriosis Research and Treatment (6 papers). Antonella Monno is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Inflammatory Myopathies and Dermatomyositis (6 papers) and Endometriosis Research and Treatment (6 papers). Antonella Monno collaborates with scholars based in Italy, United States and Japan. Antonella Monno's co-authors include Angelo A. Manfredi, Annalisa Capobianco, Patrizia Rovere‐Querini, Lucia Cottone, Patrizia Rovere-Querini, Paola Panina‐Bordignon, Annamaria Vezzani, Francesca Puppo, Barbara Camisa and Massimo Rizzi and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Brain Research.

In The Last Decade

Antonella Monno

40 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Antonella Monno 981 638 615 475 227 42 2.2k
Jin Huang 505 0.5× 371 0.6× 508 0.8× 228 0.5× 138 0.6× 69 2.2k
Dong Hee Choi 447 0.5× 881 1.4× 650 1.1× 321 0.7× 183 0.8× 72 2.3k
Kristy Red-Horse 1.1k 1.1× 244 0.4× 1.2k 1.9× 1.1k 2.3× 94 0.4× 24 2.9k
Stanimir Kyurkchiev 564 0.6× 303 0.5× 427 0.7× 206 0.4× 36 0.2× 71 1.7k
Maria Hoeltzenbein 713 0.7× 89 0.1× 900 1.5× 251 0.5× 173 0.8× 54 2.8k
Sharron Gargosky 258 0.3× 176 0.3× 914 1.5× 319 0.7× 33 0.1× 67 2.9k
Loredana Melchiorri 2.0k 2.1× 728 1.1× 471 0.8× 336 0.7× 57 0.3× 57 3.2k
Lai Ling Tsang 422 0.4× 413 0.6× 709 1.2× 118 0.2× 71 0.3× 56 2.0k
Astrid Blaschitz 1.2k 1.3× 320 0.5× 498 0.8× 953 2.0× 18 0.1× 57 2.5k
Lijiang Ma 311 0.3× 185 0.3× 1.2k 2.0× 126 0.3× 36 0.2× 33 2.3k

Countries citing papers authored by Antonella Monno

Since Specialization
Citations

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

Fields of papers citing papers by Antonella Monno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonella Monno

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