Caterina Peraldo‐Neia

77 total papers · 950 total citations
32 papers, 663 citations indexed

About

Caterina Peraldo‐Neia is a scholar working on Surgery, Oncology and Cancer Research. According to data from OpenAlex, Caterina Peraldo‐Neia has authored 32 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 19 papers in Oncology and 9 papers in Cancer Research. Recurrent topics in Caterina Peraldo‐Neia's work include Cholangiocarcinoma and Gallbladder Cancer Studies (19 papers), Cancer Mechanisms and Therapy (8 papers) and MicroRNA in disease regulation (7 papers). Caterina Peraldo‐Neia is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (19 papers), Cancer Mechanisms and Therapy (8 papers) and MicroRNA in disease regulation (7 papers). Caterina Peraldo‐Neia collaborates with scholars based in Italy, Switzerland and United States. Caterina Peraldo‐Neia's co-authors include Massimo Aglietta, Giuliana Cavalloni, Giovanna Chiorino, Francesco Leone, Giorgia Migliardi, Ymera Pignochino, Ivana Sarotto, Chiara Varamo, Laura Casorzo and Filippo Montemurro and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Caterina Peraldo‐Neia

32 papers receiving 658 citations

Author Peers

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

Author Last Decade Papers Cites
Caterina Peraldo‐Neia 347 322 208 187 166 32 663
R. Broll 451 1.3× 276 0.9× 244 1.2× 134 0.7× 147 0.9× 50 783
Yanina Sova 264 0.8× 221 0.7× 204 1.0× 105 0.6× 160 1.0× 21 711
Kwang Wook Suh 465 1.3× 351 1.1× 126 0.6× 106 0.6× 136 0.8× 47 780
Xuelian Chen 460 1.3× 149 0.5× 215 1.0× 162 0.9× 208 1.3× 36 775
Annika Ålgars 392 1.1× 121 0.4× 147 0.7× 110 0.6× 161 1.0× 34 654
Manojkumar Bupathi 442 1.3× 379 1.2× 159 0.8× 82 0.4× 167 1.0× 42 771
Maria Vassilakopoulou 381 1.1× 158 0.5× 266 1.3× 183 1.0× 143 0.9× 29 784
G Nishimura 287 0.8× 196 0.6× 204 1.0× 90 0.5× 185 1.1× 43 627
Soo Hee Kim 330 1.0× 115 0.4× 207 1.0× 158 0.8× 285 1.7× 37 651
Yuichi Hisamatsu 275 0.8× 153 0.5× 211 1.0× 128 0.7× 194 1.2× 33 628

Countries citing papers authored by Caterina Peraldo‐Neia

Since Specialization
Citations

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

Fields of papers citing papers by Caterina Peraldo‐Neia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caterina Peraldo‐Neia. 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 Caterina Peraldo‐Neia. The network helps show where Caterina Peraldo‐Neia may publish in the future.

Co-authorship network of co-authors of Caterina Peraldo‐Neia

This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Peraldo‐Neia. A scholar is included among the top collaborators of Caterina Peraldo‐Neia 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 Caterina Peraldo‐Neia. Caterina Peraldo‐Neia 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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2026