Patricia Maiso

167 total papers · 4.7k total citations
64 papers, 3.1k citations indexed

About

Patricia Maiso is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Patricia Maiso has authored 64 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Hematology, 29 papers in Molecular Biology and 19 papers in Genetics. Recurrent topics in Patricia Maiso's work include Multiple Myeloma Research and Treatments (35 papers), Chronic Lymphocytic Leukemia Research (19 papers) and Chemokine receptors and signaling (9 papers). Patricia Maiso is often cited by papers focused on Multiple Myeloma Research and Treatments (35 papers), Chronic Lymphocytic Leukemia Research (19 papers) and Chemokine receptors and signaling (9 papers). Patricia Maiso collaborates with scholars based in United States, Spain and Italy. Patricia Maiso's co-authors include Irene M. Ghobrial, Aldo M. Roccaro, Antonio Sacco, Jesús F. San Miguel, Feda Azab, Abdel Kareem Azab, Enrique M. Ocio, Atanasio Pandiella, Ludmila M. Flores and Phong Quang and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Patricia Maiso

62 papers receiving 3.0k citations

Hit Papers

BM mesenchymal stromal ce... 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Patricia Maiso 2.0k 1.3k 807 761 598 64 3.1k
Ruben D. Carrasco 2.4k 1.2× 1.2k 0.9× 1.3k 1.6× 566 0.7× 881 1.5× 63 3.8k
Feda Azab 2.5k 1.2× 981 0.8× 1.0k 1.3× 1.6k 2.1× 659 1.1× 77 4.3k
Simona Colla 2.0k 1.0× 2.2k 1.7× 1.4k 1.7× 444 0.6× 457 0.8× 78 3.5k
Cristina E. Tognon 2.0k 1.0× 684 0.5× 974 1.2× 702 0.9× 243 0.4× 80 3.6k
Norihiko Kawamata 2.2k 1.1× 745 0.6× 1.4k 1.7× 588 0.8× 468 0.8× 96 4.0k
Antonio Sacco 2.6k 1.3× 1.6k 1.3× 1000 1.2× 1.2k 1.6× 781 1.3× 111 4.3k
Renate Burger 1.6k 0.8× 991 0.8× 1.1k 1.4× 569 0.7× 627 1.0× 66 2.9k
Max Chaffanet 2.4k 1.2× 952 0.8× 1.5k 1.8× 1.0k 1.4× 376 0.6× 105 4.4k
Claudia Scholl 2.6k 1.3× 2.0k 1.6× 685 0.8× 674 0.9× 288 0.5× 72 4.1k
Mathijs Baens 1.5k 0.8× 740 0.6× 961 1.2× 988 1.3× 1.2k 2.0× 51 3.6k

Countries citing papers authored by Patricia Maiso

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Maiso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Maiso

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