Fabrizio Tabbò

305 total papers · 4.0k total citations
51 papers, 1.2k citations indexed

About

Fabrizio Tabbò is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Fabrizio Tabbò has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pulmonary and Respiratory Medicine, 29 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Fabrizio Tabbò's work include Lung Cancer Treatments and Mutations (27 papers), Cancer Genomics and Diagnostics (14 papers) and Lung Cancer Research Studies (13 papers). Fabrizio Tabbò is often cited by papers focused on Lung Cancer Treatments and Mutations (27 papers), Cancer Genomics and Diagnostics (14 papers) and Lung Cancer Research Studies (13 papers). Fabrizio Tabbò collaborates with scholars based in Italy, United States and France. Fabrizio Tabbò's co-authors include Giorgio Inghirami, Silvia Novello, Maurilio Ponzoni, Raúl Rabadán, Peter Ouillette, Mansi Vasishtha, Govind Bhagat, Laura Pasqualucci, Amy Chadburn and Monica Messina and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Fabrizio Tabbò

50 papers receiving 1.2k citations

Hit Papers

Genetics of Follicular Ly... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Fabrizio Tabbò 554 428 417 408 260 51 1.2k
Min Zhao 552 1.0× 533 1.2× 412 1.0× 228 0.6× 204 0.8× 42 1.2k
Paul Richards 866 1.6× 438 1.0× 280 0.7× 266 0.7× 340 1.3× 42 1.4k
Hyun Jung Jun 615 1.1× 314 0.7× 306 0.7× 309 0.8× 200 0.8× 39 1.2k
Sara Cresta 595 1.1× 233 0.5× 423 1.0× 461 1.1× 193 0.7× 55 1.3k
Roujun Peng 778 1.4× 387 0.9× 371 0.9× 216 0.5× 477 1.8× 48 1.4k
Keiichiro Honma 466 0.8× 365 0.9× 281 0.7× 174 0.4× 285 1.1× 82 1.0k
Pamela Drullinsky 610 1.1× 178 0.4× 523 1.3× 479 1.2× 219 0.8× 57 1.3k
Blanca González‐Farré 499 0.9× 447 1.0× 272 0.7× 171 0.4× 185 0.7× 56 922
Susan J. Hsiao 443 0.8× 216 0.5× 611 1.5× 207 0.5× 206 0.8× 48 1.3k
Amir Behdad 537 1.0× 301 0.7× 309 0.7× 290 0.7× 447 1.7× 93 1.3k

Countries citing papers authored by Fabrizio Tabbò

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Tabbò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Tabbò

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