Gema Mateo

31 papers and 2.1k indexed citations i.

About

Gema Mateo is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Gema Mateo has authored 31 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 13 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Gema Mateo’s work include Multiple Myeloma Research and Treatments (27 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Lymphoma Diagnosis and Treatment (4 papers). Gema Mateo is often cited by papers focused on Multiple Myeloma Research and Treatments (27 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Lymphoma Diagnosis and Treatment (4 papers). Gema Mateo collaborates with scholars based in Spain, United States and Denmark. Gema Mateo's co-authors include Jesús F. San Miguel, Alberto Órfão, Norma C. Gutiérrez, María‐Belén Vídriales, Ramón García‐Sánz, Júlia Almeida, Atanasio Pandiella, María‐Victoria Mateos, Guillermo Martín–Núñez and Josefina Galende and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Gema Mateo i

Fields of papers citing papers by Gema Mateo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gema Mateo

Since Specialization
Citations

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

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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