Noelia Purroy

660 total citations
18 papers, 334 citations indexed

About

Noelia Purroy is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Noelia Purroy has authored 18 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 9 papers in Pathology and Forensic Medicine and 7 papers in Immunology. Recurrent topics in Noelia Purroy's work include Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (9 papers) and CNS Lymphoma Diagnosis and Treatment (3 papers). Noelia Purroy is often cited by papers focused on Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (9 papers) and CNS Lymphoma Diagnosis and Treatment (3 papers). Noelia Purroy collaborates with scholars based in Spain, United States and Palestinian Territory. Noelia Purroy's co-authors include Francesc Bosch, Pau Abrisqueta, Marta Crespo, Cecilia Carpio, Carlos Palacio, Catherine J. Wu, Josep Castellví, Maria João Baptista, Carles Codony and Michael D. Leipold and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Noelia Purroy

17 papers receiving 332 citations

Peers

Noelia Purroy
Noelia Purroy
Citations per year, relative to Noelia Purroy Noelia Purroy (= 1×) peers Patricia Johansson

Countries citing papers authored by Noelia Purroy

Since Specialization
Citations

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

Fields of papers citing papers by Noelia Purroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noelia Purroy

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

All Works

18 of 18 papers shown
1.
Pedersen, Christina B., Mike Bogetofte Barnkob, Michael D. Leipold, et al.. (2022). cyCombine allows for robust integration of single-cell cytometry datasets within and across technologies. Nature Communications. 13(1). 1698–1698. 57 indexed citations
2.
Bobillo, Sabela, Carlos Palacio, Pau Abrisqueta, et al.. (2020). Repolarization of tumor infiltrating macrophages and increased survival in mouse primary CNS lymphomas after XPO1 and BTK inhibition. Journal of Neuro-Oncology. 149(1). 13–25. 22 indexed citations
3.
Purroy, Noelia, Jean Fan, Shuqiang Li, et al.. (2018). Single Cell Transcriptomic Characterization of the Immune Microenvironment in Naturally Progressing Chronic Lymphocytic Leukemia (CLL). Blood. 132(Supplement 1). 3112–3112. 1 indexed citations
4.
Purroy, Noelia & Catherine J. Wu. (2017). Coevolution of Leukemia and Host Immune Cells in Chronic Lymphocytic Leukemia. Cold Spring Harbor Perspectives in Medicine. 7(4). a026740–a026740. 23 indexed citations
5.
Carpio, Cecilia, Pau Abrisqueta, Noelia Purroy, et al.. (2017). Microenvironment regulates the expression of miR-21 and tumor suppressor genes PTEN, PIAS3 and PDCD4 through ZAP-70 in chronic lymphocytic leukemia. Scientific Reports. 7(1). 12262–12262. 29 indexed citations
7.
Purroy, Noelia, Pau Abrisqueta, Leire Egia‐Mendikute, et al.. (2016). Inhibition of BCR signaling using the Syk inhibitor TAK-659 prevents stroma-mediated signaling in chronic lymphocytic leukemia cells. Oncotarget. 8(1). 742–756. 19 indexed citations
8.
9.
Purroy, Noelia, Pau Abrisqueta, Cecilia Carpio, et al.. (2014). Targeting the proliferative and chemoresistant compartment in chronic lymphocytic leukemia by inhibiting survivin protein. Leukemia. 28(10). 1993–2004. 21 indexed citations
12.
Purroy, Noelia, Pau Abrisqueta, Cecilia Carpio, et al.. (2014). Effect of syk inhibition by TAK659 on proliferative, survival, and migratory signals from the microenvironment in chronic lymphocytic leukemia.. Journal of Clinical Oncology. 32(15_suppl). 7058–7058. 1 indexed citations
13.
Purroy, Noelia, Cecilia Carpio, Pau Abrisqueta, et al.. (2013). ZAP-70 Promotes the Infiltration of Malignant B-Lymphocytes into the Bone Marrow by Enhancing Signaling and Migration after CXCR4 Stimulation. PLoS ONE. 8(12). e81221–e81221. 13 indexed citations
14.
Purroy, Noelia, Pau Abrisqueta, Cecilia Carpio, et al.. (2012). YM155, a Small-Molecule Survivin Suppressant, Mainly Targets Primary CLL Cells Actively Proliferating and Overcomes Microenvironment-Mediated CLL Cell Protection. Blood. 120(21). 3868–3868. 1 indexed citations
15.
Codony, Carles, Maria João Baptista, Pau Abrisqueta, et al.. (2011). ZAP-70 enhances migration of malignant B lymphocytes toward CCL21 by inducing CCR7 expression via IgM-ERK1/2 activation. Blood. 118(16). 4401–4410. 52 indexed citations
17.
Gironella, Mercedes, et al.. (2010). Rituximab Plus Gemcitabine and Oxaliplatin as Salvage Therapy In Patients with Relapsed/Refractory Mantle-Cell Lymphoma.. Blood. 116(21). 2825–2825. 3 indexed citations

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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