Marina Díaz‐Beyá

158 total papers · 2.1k total citations
37 papers, 816 citations indexed

About

Marina Díaz‐Beyá is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Marina Díaz‐Beyá has authored 37 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 16 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Marina Díaz‐Beyá's work include Acute Myeloid Leukemia Research (23 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Histone Deacetylase Inhibitors Research (6 papers). Marina Díaz‐Beyá is often cited by papers focused on Acute Myeloid Leukemia Research (23 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Histone Deacetylase Inhibitors Research (6 papers). Marina Díaz‐Beyá collaborates with scholars based in Spain, Switzerland and Saudi Arabia. Marina Díaz‐Beyá's co-authors include Jordi Esteve, Carmen Martı́nez, Enric Carreras, Laura Rosiñol, Anna Gayà, Montserrat Rovira, Francesc Fernández‐Avilés, Marta Pratcorona, Xavier Calvo and Alejandra Martínez‐Trillos and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Marina Díaz‐Beyá

34 papers receiving 803 citations

Hit Papers

CAR-T cell therapy for ca... 2025 2026 2025 5 10 15

Author Peers

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

Author Last Decade Papers Cites
Marina Díaz‐Beyá 509 353 236 138 117 37 816
Esperanza Such 606 1.2× 506 1.4× 273 1.2× 111 0.8× 94 0.8× 60 982
Su‐Peng Yeh 494 1.0× 402 1.1× 175 0.7× 111 0.8× 176 1.5× 64 933
Vu H. Duong 445 0.9× 479 1.4× 181 0.8× 59 0.4× 310 2.6× 66 954
Hirotoshi Sakaguchi 442 0.9× 312 0.9× 204 0.9× 52 0.4× 65 0.6× 51 751
Muhammad Shurafa 420 0.8× 271 0.8× 262 1.1× 37 0.3× 319 2.7× 29 911
Arno Enno 502 1.0× 281 0.8× 225 1.0× 22 0.2× 297 2.5× 24 966
Chien‐Ting Lin 351 0.7× 297 0.8× 194 0.8× 76 0.6× 97 0.8× 33 735
Golam Mohi 348 0.7× 300 0.8× 378 1.6× 36 0.3× 85 0.7× 33 778
Julie Schanz 773 1.5× 235 0.7× 337 1.4× 51 0.4× 85 0.7× 45 911
Maria Cristina Sauerland 683 1.3× 330 0.9× 164 0.7× 72 0.5× 121 1.0× 36 879

Countries citing papers authored by Marina Díaz‐Beyá

Since Specialization
Citations

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

Fields of papers citing papers by Marina Díaz‐Beyá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marina Díaz‐Beyá. 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 Marina Díaz‐Beyá. The network helps show where Marina Díaz‐Beyá may publish in the future.

Co-authorship network of co-authors of Marina Díaz‐Beyá

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Díaz‐Beyá. A scholar is included among the top collaborators of Marina Díaz‐Beyá 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 Marina Díaz‐Beyá. Marina Díaz‐Beyá 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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