Lidia Avalle

64 total papers · 1.5k total citations
23 papers, 1.1k citations indexed

About

Lidia Avalle is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Lidia Avalle has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 13 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Lidia Avalle's work include Cytokine Signaling Pathways and Interactions (10 papers), Cancer-related molecular mechanisms research (3 papers) and Protein Tyrosine Phosphatases (3 papers). Lidia Avalle is often cited by papers focused on Cytokine Signaling Pathways and Interactions (10 papers), Cancer-related molecular mechanisms research (3 papers) and Protein Tyrosine Phosphatases (3 papers). Lidia Avalle collaborates with scholars based in Italy, United Kingdom and United States. Lidia Avalle's co-authors include Valeria Poli, Enzo Calautti, Sara Pensa, Gabriella Regis, Francesco Novelli, Annalisa Camporeale, Andrea Camperi, Laura Seclì, Mara Brancaccio and Federica Fusella and has published in prestigious journals such as Nature Communications, Cancer Research and Oncogene.

In The Last Decade

Lidia Avalle

23 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Lidia Avalle 509 482 409 214 109 23 1.1k
Alexander Schütz 505 1.0× 496 1.0× 208 0.5× 174 0.8× 138 1.3× 25 1.1k
Annalisa Camporeale 612 1.2× 387 0.8× 466 1.1× 182 0.9× 175 1.6× 28 1.4k
Inès Chevolet 342 0.7× 514 1.1× 318 0.8× 211 1.0× 48 0.4× 21 972
Gill Webster 573 1.1× 424 0.9× 356 0.9× 324 1.5× 81 0.7× 24 1.1k
Yasuyo Sano 580 1.1× 217 0.5× 259 0.6× 150 0.7× 136 1.2× 19 1.2k
Leila N. Varghese 400 0.8× 510 1.1× 413 1.0× 83 0.4× 88 0.8× 14 1.1k
Suhu Liu 944 1.9× 476 1.0× 287 0.7× 334 1.6× 76 0.7× 34 1.4k
Jennifer Yeh 759 1.5× 367 0.8× 219 0.5× 211 1.0× 94 0.9× 34 1.3k
Yan-Gao Man 524 1.0× 422 0.9× 159 0.4× 277 1.3× 99 0.9× 22 1.1k
Katherine Drews‐Elger 513 1.0× 359 0.7× 159 0.4× 233 1.1× 78 0.7× 20 1.0k

Countries citing papers authored by Lidia Avalle

Since Specialization
Citations

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

Fields of papers citing papers by Lidia Avalle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lidia Avalle

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