Carmen Vicente

3.0k total citations
36 papers, 1.7k citations indexed

About

Carmen Vicente is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Carmen Vicente has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Hematology and 7 papers in Genetics. Recurrent topics in Carmen Vicente's work include Acute Myeloid Leukemia Research (16 papers), Acute Lymphoblastic Leukemia research (6 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Carmen Vicente is often cited by papers focused on Acute Myeloid Leukemia Research (16 papers), Acute Lymphoblastic Leukemia research (6 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Carmen Vicente collaborates with scholars based in Spain, Belgium and United States. Carmen Vicente's co-authors include Jan Cools, María D. Odero, Tiziana Girardi, Kim De Keersmaecker, Francisco Tirado, A. Pascual-Montano, Miguél Vázquez, Pedro Carmona‐Sáez, Xiaoyuan Yang and Rubén Nogales‐Cadenas and has published in prestigious journals such as Nucleic Acids Research, Blood and PLoS ONE.

In The Last Decade

Carmen Vicente

35 papers receiving 1.7k citations

Peers

Carmen Vicente
Meaghan Wall Australia
Jasper de Boer United Kingdom
Christine Huard United States
Hong Sai United States
Mack Mabry United States
Camille Lobry United States
Carmen Vicente
Citations per year, relative to Carmen Vicente Carmen Vicente (= 1×) peers António Torres

Countries citing papers authored by Carmen Vicente

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Vicente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Vicente

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

All Works

20 of 20 papers shown
1.
Cros‐Perrial, Emeline, et al.. (2025). SLX4 and XPF are involved in cell migration and EMT in a cell-specific manner. Biochemical Pharmacology. 236. 116885–116885.
2.
Marcotegui, Nerea, et al.. (2023). Set Protein Is Involved in FLT3 Membrane Trafficking. Cancers. 15(8). 2233–2233. 5 indexed citations
3.
Vicente, Carmen, et al.. (2023). Regulation and role of the PP2A-B56 holoenzyme family in cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1878(5). 188953–188953. 16 indexed citations
4.
Yanes, María I. Luis, Díaz Curiel M, Pilar Peris, et al.. (2022). Health-related quality of life of X-linked hypophosphatemia in Spain. Orphanet Journal of Rare Diseases. 17(1). 298–298. 22 indexed citations
5.
Arriazu, Elena, Carmen Vicente, Raffaella Pippa, et al.. (2020). A new regulatory mechanism of protein phosphatase 2A activity via SET in acute myeloid leukemia. Blood Cancer Journal. 10(1). 3–3. 28 indexed citations
6.
Broux, Michaël, Cristina Prieto, Sofie Demeyer, et al.. (2019). Suz12 inactivation cooperates with JAK3 mutant signaling in the development of T-cell acute lymphoblastic leukemia. Blood. 134(16). 1323–1336. 33 indexed citations
7.
Vicente, Carmen, Elena Arriazu, Nerea Marcotegui, et al.. (2019). A novel FTY720 analogue targets SET-PP2A interaction and inhibits growth of acute myeloid leukemia cells without inducing cardiac toxicity. Cancer Letters. 468. 1–13. 33 indexed citations
8.
Bock, Charles E. de, Sofie Demeyer, Sandrine Degryse, et al.. (2018). HOXA9 Cooperates with Activated JAK/STAT Signaling to Drive Leukemia Development. Cancer Discovery. 8(5). 616–631. 70 indexed citations
9.
Vicente, Carmen, Sofie Demeyer, Charles E. de Bock, et al.. (2018). The CCR4-NOT complex is a tumor suppressor in Drosophila melanogaster eye cancer models. Journal of Hematology & Oncology. 11(1). 108–108. 13 indexed citations
10.
Girardi, Tiziana, Stijn Vereecke, Sergey O. Sulima, et al.. (2017). The T-cell leukemia-associated ribosomal RPL10 R98S mutation enhances JAK-STAT signaling. Leukemia. 32(3). 809–819. 59 indexed citations
11.
Dagklis, Antonis, Sofie Demeyer, Jolien De Bie, et al.. (2016). Hedgehog pathway activation in T-cell acute lymphoblastic leukemia predicts response to SMO and GLI1 inhibitors. Blood. 128(23). 2642–2654. 40 indexed citations
12.
Bie, Jolien De, Antonis Dagklis, Sofie Demeyer, et al.. (2016). HEDGEHOG PATHWAY ACTIVATION IN T-CELL ACUTE LYMPHOBLASTIC LEUKEMIA PREDICTS RESPONSE TO SMO AND GLI1 INHIBITORS. Haematologica. 101. 26–26. 1 indexed citations
13.
Starza, Roberta La, Gianluca Barba, Sofie Demeyer, et al.. (2016). Deletions of the long arm of chromosome 5 define subgroups of T-cell acute lymphoblastic leukemia. Haematologica. 101(8). 951–958. 14 indexed citations
14.
Vicente, Carmen, Claire Schwab, Michaël Broux, et al.. (2015). Targeted sequencing identifies associations between IL7R-JAK mutations and epigenetic modulators in T-cell acute lymphoblastic leukemia. Haematologica. 100(10). 1301–1310. 113 indexed citations
15.
Rouhi, Leila, José Luis Ferreiro, Thomas Tousseyn, et al.. (2014). Non-IG Aberrations of FOXP1 in B-Cell Malignancies Lead to an Aberrant Expression of N-Truncated Isoforms of FOXP1. PLoS ONE. 9(1). e85851–e85851. 15 indexed citations
16.
Vicente, Carmen, Ana Conchillo, Asunción Garcı́a-Sánchez, & María D. Odero. (2011). The role of the GATA2 transcription factor in normal and malignant hematopoiesis. Critical Reviews in Oncology/Hematology. 82(1). 1–17. 126 indexed citations
17.
Gómez‐Benito, María José, Ana Conchillo, Miguel A. Garcı́a, et al.. (2010). EVI1 controls proliferation in acute myeloid leukaemia through modulation of miR-1-2. British Journal of Cancer. 103(8). 1292–1296. 31 indexed citations
18.
Nogales‐Cadenas, Rubén, Pedro Carmona‐Sáez, Miguél Vázquez, et al.. (2009). GeneCodis: interpreting gene lists through enrichment analysis and integration of diverse biological information. Nucleic Acids Research. 37(Web Server). W317–W322. 365 indexed citations
19.
Carmona‐Sáez, Pedro, Carmen Vicente, Miguél Vázquez, et al.. (2008). bioNMF: a web-based tool for nonnegative matrix factorization in biology. Nucleic Acids Research. 36(Web Server). W523–W528. 21 indexed citations
20.
Flores, Carlos A., Víctor Manuel García Nieto, Encarna Guillén‐Navarro, et al.. (2007). A missense mutation in the chloride/proton ClC-5 antiporter gene results in increased expression of an alternative mRNA form that lacks exons 10 and 11. Identification of seven new CLCN5 mutations in patients with Dent’s disease. Journal of Human Genetics. 52(3). 255–261. 11 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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