Leticia De Mattos‐Arruda

6.2k total citations · 2 hit papers
54 papers, 2.7k citations indexed

About

Leticia De Mattos‐Arruda is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Leticia De Mattos‐Arruda has authored 54 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 28 papers in Cancer Research and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Leticia De Mattos‐Arruda's work include Cancer Genomics and Diagnostics (23 papers), Cancer Cells and Metastasis (11 papers) and HER2/EGFR in Cancer Research (8 papers). Leticia De Mattos‐Arruda is often cited by papers focused on Cancer Genomics and Diagnostics (23 papers), Cancer Cells and Metastasis (11 papers) and HER2/EGFR in Cancer Research (8 papers). Leticia De Mattos‐Arruda collaborates with scholars based in Spain, United States and United Kingdom. Leticia De Mattos‐Arruda's co-authors include Joan Seoane, Javier Cortés, Jorge S. Reis‐Filho, Josep Tabernero, Carlos Caldas, Santiago Ramón y Cajal, Javier Hernández‐Losa, Claudia Capdevila, Trond Aasen and Josep Castellví and has published in prestigious journals such as Journal of Clinical Oncology, Nature Immunology and Cancer Research.

In The Last Decade

Leticia De Mattos‐Arruda

53 papers receiving 2.6k citations

Hit Papers

ESMO recommendations on the use of circulating tumour DNA... 2020 2026 2022 2024 2022 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ESMO recommendations on the use of circulating tumour DNA assays for patients with cancer: a report from the ESMO Precision Medicine Working Group
    2022 355 citations François‐Clément Bidard, Giuseppe Curigliano et al. Annals of Oncology profile →
  2. Clinical implications of intratumor heterogeneity: challenges and opportunities
    2020 313 citations Santiago Ramón y Cajal, Marta Sesé et al. Journal of Molecular Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leticia De Mattos‐Arruda Spain 26 1.4k 1.3k 947 735 425 54 2.7k
Marco Gerlinger United Kingdom 22 1.2k 0.8× 955 0.7× 1.1k 1.1× 647 0.9× 290 0.7× 62 2.4k
Elin Borgen Norway 31 1.8k 1.3× 2.3k 1.7× 950 1.0× 756 1.0× 326 0.8× 88 3.3k
Maria Schwaederlé United States 28 1.7k 1.2× 1.5k 1.1× 1.0k 1.1× 1.1k 1.5× 611 1.4× 43 3.2k
Ricardo H. Álvarez United States 28 1.1k 0.7× 1.7k 1.3× 824 0.9× 558 0.8× 226 0.5× 75 2.7k
G. Viale Italy 14 1.4k 1.0× 1.7k 1.3× 807 0.9× 563 0.8× 511 1.2× 47 3.0k
Vicente Peg Spain 28 1.3k 0.9× 998 0.8× 1.1k 1.1× 451 0.6× 555 1.3× 79 2.4k
Evelyne Lopez‐Crapez France 26 989 0.7× 1.3k 1.0× 927 1.0× 501 0.7× 524 1.2× 68 2.4k
Matthias Christgen Germany 28 1.2k 0.9× 1.3k 1.0× 1.1k 1.2× 352 0.5× 323 0.8× 113 2.5k
Henning Stehr United States 21 1.2k 0.8× 854 0.7× 1.2k 1.2× 780 1.1× 537 1.3× 71 2.5k
Anna Piskorz United Kingdom 17 1.6k 1.1× 1.0k 0.8× 1.1k 1.1× 749 1.0× 502 1.2× 34 2.7k

Countries citing papers authored by Leticia De Mattos‐Arruda

Since Specialization
Citations

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

Fields of papers citing papers by Leticia De Mattos‐Arruda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leticia De Mattos‐Arruda. 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 Leticia De Mattos‐Arruda. The network helps show where Leticia De Mattos‐Arruda may publish in the future.

Co-authorship network of co-authors of Leticia De Mattos‐Arruda

This figure shows the co-authorship network connecting the top 25 collaborators of Leticia De Mattos‐Arruda. A scholar is included among the top collaborators of Leticia De Mattos‐Arruda 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 Leticia De Mattos‐Arruda. Leticia De Mattos‐Arruda 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.
Sammut, Stephen‐John, Jacob D. Galson, Ralph Minter, et al.. (2024). Predictability of B cell clonal persistence and immunosurveillance in breast cancer. Nature Immunology. 25(5). 916–924. 10 indexed citations
2.
Mattos‐Arruda, Leticia De, Javier Cortés, Daniel Guimarães Tiezzi, et al.. (2021). The temporal mutational and immune tumour microenvironment remodelling of HER2-negative primary breast cancers. npj Breast Cancer. 7(1). 73–73. 7 indexed citations
3.
Quintana, Ángela, Vicente Peg, Aleix Prat, et al.. (2021). Immune analysis of lymph nodes in relation to the presence or absence of tumor infiltrating lymphocytes in triple-negative breast cancer. European Journal of Cancer. 148. 134–145. 12 indexed citations
4.
Cajal, Santiago Ramón y, Marta Sesé, Claudia Capdevila, et al.. (2020). Clinical implications of intratumor heterogeneity: challenges and opportunities. Journal of Molecular Medicine. 98(2). 161–177. 313 indexed citations breakdown →
5.
Mattos‐Arruda, Leticia De, Miguél Vázquez, Francesca Finotello, et al.. (2020). Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group. Annals of Oncology. 31(8). 978–990. 99 indexed citations
6.
Invernizzi, Marco, Gianluca Lopez, A. Michelotti, et al.. (2020). Integrating Biological Advances Into the Clinical Management of Breast Cancer Related Lymphedema. Frontiers in Oncology. 10. 422–422. 19 indexed citations
7.
Mattos‐Arruda, Leticia De, Carmen Criscitiello, Matteo Lambertini, & Guillem Argilés. (2018). ESMO Leaders Generation Programme: an alumni insight. ESMO Open. 3(1). e000312–e000312. 1 indexed citations
8.
Seoane, Joan, Leticia De Mattos‐Arruda, Émilie Le Rhun, Alberto Bardelli, & Michael Weller. (2018). Cerebrospinal fluid cell-free tumour DNA as a liquid biopsy for primary brain tumours and central nervous system metastases. Annals of Oncology. 30(2). 211–218. 94 indexed citations
9.
Mattos‐Arruda, Leticia De, Ronglai Shen, Jorge S. Reis‐Filho, & Javier Cortés. (2016). Translating neoadjuvant therapy into survival benefits: one size does not fit all. Nature Reviews Clinical Oncology. 13(9). 566–579. 40 indexed citations
10.
Piscuoglio, Salvatore, Zsolt Hodi, Nora Katabi, et al.. (2015). Are acinic cell carcinomas of the breast and salivary glands distinct diseases?. Histopathology. 67(4). 529–537. 41 indexed citations
11.
Mattos‐Arruda, Leticia De & Carlos Caldas. (2015). Cell‐free circulating tumour DNA as a liquid biopsy in breast cancer. Molecular Oncology. 10(3). 464–474. 92 indexed citations
12.
Banerjee, Susana, Raffaele Califano, Evandro de Azambuja, et al.. (2014). Professional Burnout in European Young Oncologists: a European Survey Conducted By the European Society for Medical Oncology (Esmo) Young Oncologists Committee. Annals of Oncology. 25. v1–v1. 6 indexed citations
13.
Mattos‐Arruda, Leticia De, Britta Weigelt, Javier Cortés, et al.. (2014). Capturing intra-tumor genetic heterogeneity by de novo mutation profiling of circulating cell-free tumor DNA: a proof-of-principle. Annals of Oncology. 25(9). 1729–1735. 284 indexed citations
14.
Cajal, Santiago Ramón y, Leticia De Mattos‐Arruda, Nahum Sonenberg, Javier Cortés, & Vicente Peg. (2014). The intra-tumor heterogeneity of cell signaling factors in breast cancer: p4E-BP1 and peIF4E are diffusely expressed and are real potential targets. Clinical & Translational Oncology. 16(11). 937–941. 19 indexed citations
15.
Seoane, Joan & Leticia De Mattos‐Arruda. (2014). Brain metastasis: New opportunities to tackle therapeutic resistance. Molecular Oncology. 8(6). 1120–1131. 30 indexed citations
16.
Serra, Violeta, Ana Vivancos, Xosé S. Puente, et al.. (2013). Clinical Response to a Lapatinib-Based Therapy for a Li-Fraumeni Syndrome Patient with a Novel HER2 V659E Mutation. Cancer Discovery. 3(11). 1238–1244. 33 indexed citations
17.
Mattos‐Arruda, Leticia De & Javier Cortés. (2013). Use of Pertuzumab for the Treatment of HER2-Positive Metastatic Breast Cancer. Advances in Therapy. 30(7). 645–658. 18 indexed citations
18.
Mattos‐Arruda, Leticia De & Javier Cortés. (2012). Advances in First-Line Treatment for Patients with HER-2+ Metastatic Breast Cancer. The Oncologist. 17(5). 631–644. 26 indexed citations
19.
Mattos‐Arruda, Leticia De & Javier Cortés. (2012). Breast cancer and HSP90 inhibitors: Is there a role beyond the HER2-positive subtype?. The Breast. 21(4). 604–607. 20 indexed citations
20.
Oliveira, Mafalda, Javier Cortés, Meritxell Bellet, et al.. (2012). Management of the axilla in early breast cancer patients in the genomic era. Annals of Oncology. 24(5). 1163–1170. 10 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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