Laura Escudero

845 total citations
9 papers, 256 citations indexed

About

Laura Escudero is a scholar working on Cancer Research, Genetics and Molecular Biology. According to data from OpenAlex, Laura Escudero has authored 9 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Laura Escudero's work include Cancer Genomics and Diagnostics (5 papers), Glioma Diagnosis and Treatment (4 papers) and Single-cell and spatial transcriptomics (2 papers). Laura Escudero is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Glioma Diagnosis and Treatment (4 papers) and Single-cell and spatial transcriptomics (2 papers). Laura Escudero collaborates with scholars based in Spain, Palestinian Territory and United Kingdom. Laura Escudero's co-authors include Joan Seoane, Francisco Martínez‐Ricarte, Regina Mayor, Carlota Rubio-Pérez, Soledad Gallego, Juan Sahuquillo, Bárbara Tazón‐Vega, Xosé S. Puente, Elena Martínez‐Sáez and Cecilia Carpio and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and Clinical Cancer Research.

In The Last Decade

Laura Escudero

9 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura Escudero Spain	7	133	106	91	68	66	9	256
Florent Marguet France	7	115 0.9×	134 1.3×	75 0.8×	43 0.6×	68 1.0×	16	266
Jessica Lam United States	7	129 1.0×	40 0.4×	203 2.2×	42 0.6×	91 1.4×	7	379
Aurélie Bruno France	2	57 0.4×	184 1.7×	84 0.9×	27 0.4×	103 1.6×	3	259
WK Alfred Yung United States	7	81 0.6×	204 1.9×	206 2.3×	84 1.2×	47 0.7×	17	384
Jan Konrad Siwicki Poland	10	84 0.6×	34 0.3×	142 1.6×	23 0.3×	76 1.2×	25	260
Hajnalka Rajnai Hungary	9	51 0.4×	72 0.7×	86 0.9×	27 0.4×	61 0.9×	25	225
Pernille Mathiesen Tørring Denmark	12	44 0.3×	197 1.9×	90 1.0×	168 2.5×	41 0.6×	39	372
Felicia Hernandez United States	6	48 0.4×	47 0.4×	162 1.8×	49 0.7×	72 1.1×	10	308
Ane Yde Schmidt Denmark	10	124 0.9×	53 0.5×	87 1.0×	45 0.7×	41 0.6×	13	221
Joseph W. Po Australia	12	140 1.1×	72 0.7×	112 1.2×	60 0.9×	15 0.2×	15	320

Countries citing papers authored by Laura Escudero

Since Specialization

Citations

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

Fields of papers citing papers by Laura Escudero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Escudero

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

All Works

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9 of 9 papers shown

Kieliszek, Agata, Deepak Upreti, Darin Bloemberg, et al.. (2023). Intratumoral Delivery of Chimeric Antigen Receptor T Cells Targeting CD133 Effectively Treats Brain Metastases. Clinical Cancer Research. 30(3). 554–563. 15 indexed citations

Escudero, Laura, et al.. (2022). Hypophysitis secondary to pembrolizumab: a case report and review of the literature.. PubMed. 33(1). 94–99. 3 indexed citations

Escudero, Laura, Francisco Martínez‐Ricarte, & Joan Seoane. (2021). ctDNA-Based Liquid Biopsy of Cerebrospinal Fluid in Brain Cancer. Cancers. 13(9). 1989–1989. 36 indexed citations

Seoane, Joan & Laura Escudero. (2021). Cerebrospinal fluid liquid biopsies for medulloblastoma. Nature Reviews Clinical Oncology. 19(2). 73–74. 6 indexed citations

Escudero, Laura, Anna Llort, Ander Díaz‐Navarro, et al.. (2020). Circulating tumour DNA from the cerebrospinal fluid allows the characterisation and monitoring of medulloblastoma. Nature Communications. 11(1). 5376–5376. 77 indexed citations

Bobillo, Sabela, Marta Crespo, Laura Escudero, et al.. (2020). Cell free circulating tumor DNA in cerebrospinal fluid detects and monitors central nervous system involvement of B-cell lymphomas. Haematologica. 106(2). 513–521. 86 indexed citations

Escudero, Laura, Francisco Martínez‐Ricarte, & Joan Seoane. (2020). Cerebrospinal fluid circulating tumour DNA as a liquid biopsy for central nervous system malignancies. Current Opinion in Neurology. 33(6). 736–741. 7 indexed citations

Escudero, Laura, et al.. (2018). The C-Terminal Extension Unique to the Long Isoform of the Shelterin Component TIN2 Enhances Its Interaction with TRF2 in a Phosphorylation- and Dyskeratosis Congenita Cluster-Dependent Fashion. Molecular and Cellular Biology. 38(12). 22 indexed citations

Escudero, Laura, et al.. (2016). Variation in Inflammatory Response during Pneumococcal Infection Is Influenced by Host-Pathogen Interactions but Associated with Animal Survival. Infection and Immunity. 84(4). 894–905. 4 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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