Diego Salas‐Benito

136 total papers · 1.2k total citations
28 papers, 741 citations indexed

About

Diego Salas‐Benito is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Diego Salas‐Benito has authored 28 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Genetics. Recurrent topics in Diego Salas‐Benito's work include CAR-T cell therapy research (9 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Diego Salas‐Benito is often cited by papers focused on CAR-T cell therapy research (9 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Lung Cancer Treatments and Mutations (5 papers). Diego Salas‐Benito collaborates with scholars based in Spain, United States and Chile. Diego Salas‐Benito's co-authors include José M. López-Picazo, María E. Rodríguez-Ruiz, José Luis Perez‐Gracia, Mariano Ponz‐Sarvisé, Eduardo Castañón, Ignacio Melero, Iván Martínez‐Forero, Miguel F. Sanmamed, José Soto and Jean P. Lhorente and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Diego Salas‐Benito

26 papers receiving 732 citations

Hit Papers

Paradigms on Immunotherap... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Diego Salas‐Benito 429 230 164 149 146 28 741
Pamela M.J. McLaughlin 347 0.8× 212 0.9× 61 0.4× 453 3.0× 86 0.6× 22 889
Yiyi Yan 490 1.1× 449 2.0× 85 0.5× 247 1.7× 22 0.2× 38 872
Yanwen Yang 167 0.4× 161 0.7× 88 0.5× 423 2.8× 24 0.2× 38 706
Il‐Kyu Kim 378 0.9× 569 2.5× 52 0.3× 208 1.4× 36 0.2× 25 834
Ryoji Fujii 85 0.2× 253 1.1× 76 0.5× 242 1.6× 32 0.2× 39 750
Lucy F. Stead 171 0.4× 85 0.4× 121 0.7× 399 2.7× 48 0.3× 34 690
N Lagarde 251 0.6× 32 0.1× 144 0.9× 139 0.9× 32 0.2× 28 668
Payel Bhanja 201 0.5× 95 0.4× 144 0.9× 338 2.3× 53 0.4× 25 776
Weifeng Liu 348 0.8× 469 2.0× 71 0.4× 175 1.2× 21 0.1× 17 734
Yayoi Takahashi 399 0.9× 172 0.7× 108 0.7× 254 1.7× 44 0.3× 33 785

Countries citing papers authored by Diego Salas‐Benito

Since Specialization
Citations

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

Fields of papers citing papers by Diego Salas‐Benito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Salas‐Benito. 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 Diego Salas‐Benito. The network helps show where Diego Salas‐Benito may publish in the future.

Co-authorship network of co-authors of Diego Salas‐Benito

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Salas‐Benito. A scholar is included among the top collaborators of Diego Salas‐Benito 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 Diego Salas‐Benito. Diego Salas‐Benito 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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