Lidia La Barbera

42 total papers · 509 total citations
25 papers, 325 citations indexed

About

Lidia La Barbera is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, Lidia La Barbera has authored 25 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 9 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Lidia La Barbera's work include Inflammatory Myopathies and Dermatomyositis (4 papers), Salivary Gland Disorders and Functions (4 papers) and Eosinophilic Esophagitis (3 papers). Lidia La Barbera is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (4 papers), Salivary Gland Disorders and Functions (4 papers) and Eosinophilic Esophagitis (3 papers). Lidia La Barbera collaborates with scholars based in Italy, United Kingdom and Germany. Lidia La Barbera's co-authors include Giuliana Guggino, Chiara Rizzo, Francesco Ciccia, Giulia Grasso, Serena Fasano, Claudia Schinocca, Marianna Lo Pizzo, Guido Sireci, Francesco Dieli and Nadia Caccamo and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Annals of the Rheumatic Diseases.

In The Last Decade

Lidia La Barbera

21 papers receiving 320 citations

Hit Papers

Role of the IL-23/IL-17 P... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Lidia La Barbera 147 109 89 45 37 25 325
Dayer Jm 154 1.0× 105 1.0× 94 1.1× 47 1.0× 50 1.4× 21 352
Dominik Majewski 95 0.6× 117 1.1× 88 1.0× 29 0.6× 37 1.0× 31 322
Verónica Mijares 103 0.7× 104 1.0× 120 1.3× 22 0.5× 31 0.8× 25 285
Katarzyna Gębura 145 1.0× 89 0.8× 86 1.0× 73 1.6× 66 1.8× 22 345
Rebecca Hasseli 47 0.3× 135 1.2× 65 0.7× 58 1.3× 67 1.8× 26 338
Katja Perdan Pirkmajer 80 0.5× 131 1.2× 91 1.0× 83 1.8× 12 0.3× 25 335
Pui‐Ying Leong 97 0.7× 145 1.3× 55 0.6× 23 0.5× 21 0.6× 37 296
Gershwin Me 82 0.6× 121 1.1× 42 0.5× 46 1.0× 17 0.5× 32 342
Mahdi Vojdanian 113 0.8× 142 1.3× 101 1.1× 59 1.3× 52 1.4× 31 347
Qin Xiang 84 0.6× 67 0.6× 138 1.6× 17 0.4× 32 0.9× 25 352

Countries citing papers authored by Lidia La Barbera

Since Specialization
Citations

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

Fields of papers citing papers by Lidia La Barbera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lidia La Barbera. 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 Lidia La Barbera. The network helps show where Lidia La Barbera may publish in the future.

Co-authorship network of co-authors of Lidia La Barbera

This figure shows the co-authorship network connecting the top 25 collaborators of Lidia La Barbera. A scholar is included among the top collaborators of Lidia La Barbera 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 Lidia La Barbera. Lidia La Barbera 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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