Alessio Bruscaggin

118 total papers · 4.8k total citations
24 papers, 584 citations indexed

About

Alessio Bruscaggin is a scholar working on Pathology and Forensic Medicine, Genetics and Cancer Research. According to data from OpenAlex, Alessio Bruscaggin has authored 24 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pathology and Forensic Medicine, 13 papers in Genetics and 13 papers in Cancer Research. Recurrent topics in Alessio Bruscaggin's work include Lymphoma Diagnosis and Treatment (15 papers), Cancer Genomics and Diagnostics (13 papers) and Chronic Lymphocytic Leukemia Research (13 papers). Alessio Bruscaggin is often cited by papers focused on Lymphoma Diagnosis and Treatment (15 papers), Cancer Genomics and Diagnostics (13 papers) and Chronic Lymphocytic Leukemia Research (13 papers). Alessio Bruscaggin collaborates with scholars based in Italy, Switzerland and United States. Alessio Bruscaggin's co-authors include Davide Rossi, Valeria Spina, Gianluca Gaïdano, Silvia Rasi, Robin Foà, Sara Monti, Clara Deambrogi, Valter Gattei, Lorenzo De Paoli and Raúl Rabadán and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Haematology.

In The Last Decade

Alessio Bruscaggin

24 papers receiving 579 citations

Author Peers

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

Author Last Decade Papers Cites
Alessio Bruscaggin 462 312 220 183 118 24 584
A Kunlin 396 0.9× 255 0.8× 117 0.5× 268 1.5× 93 0.8× 18 623
Pierre‐Julien Viailly 440 1.0× 200 0.6× 284 1.3× 237 1.3× 68 0.6× 38 696
Christian Winther Eskelund 426 0.9× 272 0.9× 74 0.3× 337 1.8× 67 0.6× 29 554
Julia Steinhilber 384 0.8× 233 0.7× 89 0.4× 255 1.4× 131 1.1× 28 641
Marie Cornic 300 0.6× 101 0.3× 210 1.0× 255 1.4× 86 0.7× 24 546
Darius Juškevičius 422 0.9× 168 0.5× 95 0.4× 272 1.5× 96 0.8× 32 552
Isabel Marugán 176 0.4× 152 0.5× 145 0.7× 271 1.5× 76 0.6× 28 590
Chingiz Underbayev 333 0.7× 391 1.3× 165 0.8× 161 0.9× 228 1.9× 18 666
Takashi Akasaka 321 0.7× 228 0.7× 107 0.5× 193 1.1× 119 1.0× 45 658
J Dumont 208 0.5× 145 0.5× 82 0.4× 224 1.2× 95 0.8× 35 595

Countries citing papers authored by Alessio Bruscaggin

Since Specialization
Citations

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

Fields of papers citing papers by Alessio Bruscaggin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessio Bruscaggin

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