Raquel de Paz

127 total papers · 3.0k total citations
49 papers, 966 citations indexed

About

Raquel de Paz is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Raquel de Paz has authored 49 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Hematology, 26 papers in Genetics and 12 papers in Oncology. Recurrent topics in Raquel de Paz's work include Acute Myeloid Leukemia Research (12 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Chronic Myeloid Leukemia Treatments (11 papers). Raquel de Paz is often cited by papers focused on Acute Myeloid Leukemia Research (12 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Chronic Myeloid Leukemia Treatments (11 papers). Raquel de Paz collaborates with scholars based in Spain, United States and Germany. Raquel de Paz's co-authors include Miguel Canales, Fernando Hernández, F. Hernández‐Navarro, Mónica Martín‐Salces, A. Mesejo, Joaquín Martínez‐López, Juan José Lahuerta, Albert Oriol, Felipe de Arriba and María‐Victoria Mateos and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Annals of Internal Medicine.

In The Last Decade

Raquel de Paz

48 papers receiving 943 citations

Author Peers

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

Author Last Decade Papers Cites
Raquel de Paz 693 328 266 264 132 49 966
H. Bartels 351 0.5× 252 0.8× 201 0.8× 143 0.5× 90 0.7× 42 923
Y Beguin 695 1.0× 463 1.4× 111 0.4× 117 0.4× 239 1.8× 39 1.1k
Jean‐Baptiste Micol 723 1.0× 304 0.9× 138 0.5× 449 1.7× 76 0.6× 59 1.1k
Romain Guièze 317 0.5× 384 1.2× 137 0.5× 208 0.8× 194 1.5× 61 860
Michael J. Dugan 497 0.7× 215 0.7× 241 0.9× 176 0.7× 134 1.0× 41 862
J. Gregory Mears 461 0.7× 646 2.0× 141 0.5× 304 1.2× 42 0.3× 35 1.2k
Raymond W. Monto 469 0.7× 210 0.6× 414 1.6× 323 1.2× 71 0.5× 42 1.2k
Maurizio Caniglia 388 0.6× 99 0.3× 161 0.6× 172 0.7× 293 2.2× 58 878
V. Gabutti 690 1.0× 697 2.1× 94 0.4× 257 1.0× 102 0.8× 40 1.2k
Donald Macdonald 531 0.8× 495 1.5× 139 0.5× 278 1.1× 232 1.8× 51 1.2k

Countries citing papers authored by Raquel de Paz

Since Specialization
Citations

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

Fields of papers citing papers by Raquel de Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raquel de Paz. 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 Raquel de Paz. The network helps show where Raquel de Paz may publish in the future.

Co-authorship network of co-authors of Raquel de Paz

This figure shows the co-authorship network connecting the top 25 collaborators of Raquel de Paz. A scholar is included among the top collaborators of Raquel de Paz 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 Raquel de Paz. Raquel de Paz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026