Julia González‐Rincón

413 total citations
7 papers, 106 citations indexed

About

Julia González‐Rincón is a scholar working on Pathology and Forensic Medicine, Genetics and Immunology. According to data from OpenAlex, Julia González‐Rincón has authored 7 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in Julia González‐Rincón's work include Lymphoma Diagnosis and Treatment (5 papers), T-cell and Retrovirus Studies (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Julia González‐Rincón is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), T-cell and Retrovirus Studies (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Julia González‐Rincón collaborates with scholars based in Spain and United Kingdom. Julia González‐Rincón's co-authors include Margarita Sánchez‐Beato, Mariano Provencio, David Pérez-Callejo, Antonio Sánchez, Miguel Á. Piris, Socorro Marıá Rodríguez-Pinilla, Rebeca Manso, Manuel Rodriguez‐Justo, Sagrario Gómez and Giovanna Roncador and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Julia González‐Rincón

6 papers receiving 105 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julia González‐Rincón Spain 5 73 53 32 28 19 7 106
Fushen Sha China 4 75 1.0× 68 1.3× 44 1.4× 12 0.4× 25 1.3× 6 113
Ivelise Rijo United States 5 62 0.8× 45 0.8× 38 1.2× 16 0.6× 32 1.7× 7 126
Henriette W Berenschot Netherlands 6 126 1.7× 103 1.9× 62 1.9× 21 0.8× 16 0.8× 11 164
Jesse Shustik Canada 5 114 1.6× 78 1.5× 50 1.6× 12 0.4× 26 1.4× 11 142
Esther Hian Li Chan Singapore 6 43 0.6× 66 1.2× 17 0.5× 28 1.0× 27 1.4× 17 106
Maneesh Tandon United Kingdom 8 99 1.4× 65 1.2× 77 2.4× 35 1.3× 9 0.5× 18 138
Harald Zeuner Switzerland 6 62 0.8× 99 1.9× 23 0.7× 52 1.9× 21 1.1× 11 143
Mark Yan Canada 4 60 0.8× 96 1.8× 25 0.8× 29 1.0× 34 1.8× 8 148
Carl Quinion United States 5 63 0.9× 63 1.2× 45 1.4× 45 1.6× 50 2.6× 8 156
Jennifer A. Arzt United States 4 58 0.8× 52 1.0× 65 2.0× 27 1.0× 64 3.4× 5 151

Countries citing papers authored by Julia González‐Rincón

Since Specialization
Citations

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

Fields of papers citing papers by Julia González‐Rincón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia González‐Rincón. 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 Julia González‐Rincón. The network helps show where Julia González‐Rincón may publish in the future.

Co-authorship network of co-authors of Julia González‐Rincón

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

All Works

7 of 7 papers shown
1.
González‐Rincón, Julia, Sagrario Gómez, Nerea Martı́nez, et al.. (2019). Clonal dynamics monitoring during clinical evolution in chronic lymphocytic leukaemia. Scientific Reports. 9(1). 975–975. 6 indexed citations
2.
Méndez, Míriam, María Torrente, Margarita Sánchez‐Beato, et al.. (2019). Transformed follicular lymphoma in the rituximab era: A report from the Spanish Lymphoma Oncology Group. Hematological Oncology. 37(2). 143–150. 11 indexed citations
3.
Manso, Rebeca, Julia González‐Rincón, Manuel Rodriguez‐Justo, et al.. (2018). Overlap at the molecular and immunohistochemical levels between angioimmunoblastic T-cell lymphoma and a subgroup of peripheral T-cell lymphomas without specific morphological features. Oncotarget. 9(22). 16124–16133. 29 indexed citations
4.
Mondéjar, R., Cristina Fernández, Arantza Onaindía, et al.. (2017). Molecular basis of targeted therapy in T/NK-cell lymphoma/leukemia: A comprehensive genomic and immunohistochemical analysis of a panel of 33 cell lines. PLoS ONE. 12(5). e0177524–e0177524. 3 indexed citations
5.
Franco, Fernando, Julia González‐Rincón, Javier Lavernia, et al.. (2017). Mutational profile of primary breast diffuse large B-cell lymphoma. Oncotarget. 8(61). 102888–102897. 19 indexed citations
6.
Pérez-Callejo, David, Julia González‐Rincón, Antonio Sánchez, Mariano Provencio, & Margarita Sánchez‐Beato. (2015). Action and resistance of monoclonal CD20 antibodies therapy in B-cell Non-Hodgkin Lymphomas. Cancer Treatment Reviews. 41(8). 680–689. 38 indexed citations
7.
Pérez, Cristina, Julia González‐Rincón, Carmen Almaráz, et al.. (2014). A Role of JAK/STAT Pathway in Cutaneous T-Cell Lymphomas: Exploring Its Effects for Targeted Therapy. Blood. 124(21). 4498–4498.

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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