Virginia Arrazubi

108 total papers · 1.3k total citations
48 papers, 629 citations indexed

About

Virginia Arrazubi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Virginia Arrazubi has authored 48 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 23 papers in Pulmonary and Respiratory Medicine and 14 papers in Surgery. Recurrent topics in Virginia Arrazubi's work include Cancer Immunotherapy and Biomarkers (10 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Gastric Cancer Management and Outcomes (8 papers). Virginia Arrazubi is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Gastric Cancer Management and Outcomes (8 papers). Virginia Arrazubi collaborates with scholars based in Spain, United States and France. Virginia Arrazubi's co-authors include María Alsina, Josep Tabernero, Marc Díez, Javier Suárez, Lucía Teijeira, Ruth Vera, Ruth Vera, Gemma Asín, Juan Ignacio Arrarás and Fernando Arias de la Vega and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Virginia Arrazubi

44 papers receiving 621 citations

Hit Papers

Current developments in g... 2022 2026 2023 2024 2022 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
Virginia Arrazubi 365 230 153 133 106 48 629
Kenji Mitsugi 430 1.2× 190 0.8× 112 0.7× 164 1.2× 44 0.4× 59 661
Hamid Raziee 178 0.5× 290 1.3× 150 1.0× 195 1.5× 68 0.6× 40 644
E. Joosens 258 0.7× 173 0.8× 102 0.7× 133 1.0× 73 0.7× 26 587
Işıl Somali 467 1.3× 215 0.9× 91 0.6× 90 0.7× 157 1.5× 51 712
Fadi Farhat 196 0.5× 233 1.0× 135 0.9× 187 1.4× 82 0.8× 55 683
Shafei Wu 438 1.2× 337 1.5× 161 1.1× 172 1.3× 164 1.5× 59 717
Seizo Masutani 367 1.0× 210 0.9× 214 1.4× 107 0.8× 139 1.3× 37 712
Lütfiye Demir 492 1.3× 214 0.9× 104 0.7× 78 0.6× 147 1.4× 54 666
Woo‐Kyun Bae 192 0.5× 188 0.8× 183 1.2× 180 1.4× 72 0.7× 38 621
Yulong Zheng 285 0.8× 269 1.2× 131 0.9× 134 1.0× 82 0.8× 56 571

Countries citing papers authored by Virginia Arrazubi

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Arrazubi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Arrazubi

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