Nuria Ribelles

4.8k total citations
89 papers, 1.9k citations indexed

About

Nuria Ribelles is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nuria Ribelles has authored 89 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Oncology, 38 papers in Cancer Research and 25 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nuria Ribelles's work include Breast Cancer Treatment Studies (30 papers), Cancer Treatment and Pharmacology (29 papers) and HER2/EGFR in Cancer Research (23 papers). Nuria Ribelles is often cited by papers focused on Breast Cancer Treatment Studies (30 papers), Cancer Treatment and Pharmacology (29 papers) and HER2/EGFR in Cancer Research (23 papers). Nuria Ribelles collaborates with scholars based in Spain, United Kingdom and United States. Nuria Ribelles's co-authors include Emilio Alba, José M. Jerez, Miguel Martín, Leonardo Franco, Pedro J. García-Laencina, Ignacio Molina, Alfonso Sánchez‐Muñoz, Bella Pajares, Begoña Jiménez and Antonia Márquez and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Nuria Ribelles

80 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nuria Ribelles Spain 23 927 628 455 309 269 89 1.9k
Mia Levy United States 22 630 0.7× 416 0.7× 630 1.4× 317 1.0× 345 1.3× 102 2.1k
Lorenzo Trippa United States 28 875 0.9× 680 1.1× 829 1.8× 351 1.1× 164 0.6× 120 2.8k
Xiaorong Zhong China 20 475 0.5× 452 0.7× 546 1.2× 183 0.6× 98 0.4× 99 1.3k
Tingbo Liang China 24 696 0.8× 454 0.7× 915 2.0× 402 1.3× 150 0.6× 86 2.2k
Sean Khozin United States 27 1.6k 1.8× 589 0.9× 959 2.1× 1.2k 3.7× 160 0.6× 69 3.6k
Subha Madhavan United States 30 1.1k 1.2× 1.2k 1.9× 1.5k 3.2× 511 1.7× 160 0.6× 113 3.2k
Yuan Wu United States 22 308 0.3× 310 0.5× 571 1.3× 461 1.5× 219 0.8× 112 1.7k
Jihoon Kim United States 20 409 0.4× 311 0.5× 671 1.5× 129 0.4× 315 1.2× 50 1.9k
Azzam Taktak United Kingdom 22 661 0.7× 173 0.3× 490 1.1× 183 0.6× 216 0.8× 53 1.7k
Daniele Soria United Kingdom 21 297 0.3× 359 0.6× 615 1.4× 130 0.4× 215 0.8× 49 1.4k

Countries citing papers authored by Nuria Ribelles

Since Specialization
Citations

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

Fields of papers citing papers by Nuria Ribelles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuria Ribelles

This figure shows the co-authorship network connecting the top 25 collaborators of Nuria Ribelles. A scholar is included among the top collaborators of Nuria Ribelles 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 Nuria Ribelles. Nuria Ribelles 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.
Moreno-Barea, Francisco J., et al.. (2024). Named entity recognition for de-identifying Spanish electronic health records. Computers in Biology and Medicine. 185. 109576–109576. 1 indexed citations
2.
Roldán‐Jiménez, Cristina, Bella Pajares, Manuel Trinidad‐Fernández, et al.. (2021). Design and implementation of a standard care programme of therapeutic exercise and education for breast cancer survivors. Supportive Care in Cancer. 30(2). 1243–1251. 4 indexed citations
3.
Jiménez, Begoña, Ana Godoy-Ortíz, Esperanza Torres, et al.. (2021). Significant Decrease in Annual Cancer Diagnoses in Spain during the COVID-19 Pandemic: A Real-Data Study. Cancers. 13(13). 3215–3215. 28 indexed citations
4.
Jerez, José M., et al.. (2021). Transformers for Clinical Coding in Spanish. IEEE Access. 9. 72387–72397. 19 indexed citations
5.
6.
Sánchez‐Muñoz, Alfonso, et al.. (2019). Targeted treatment approaches in refractory germ cell tumors. Critical Reviews in Oncology/Hematology. 143. 130–138. 19 indexed citations
7.
Ocaña, Alberto, Marta Gil-Martín, Silvia Antolín, et al.. (2019). Efficacy and safety of dasatinib with trastuzumab and paclitaxel in first line HER2-positive metastatic breast cancer: results from the phase II GEICAM/2010-04 study. Breast Cancer Research and Treatment. 174(3). 693–701. 36 indexed citations
8.
Borrego, Manuel Ruíz, Marta Gil-Martín, Silvia Antolín, et al.. (2017). A phase II trial of dasatinib (D) in combination with trastuzumab (T) and paclitaxel (P) in the first line treatment of HER2 positive metastatic breast cancer (MBC) patients (pts): GEICAM/2010-04. Annals of Oncology. 28. v75–v75. 1 indexed citations
9.
Ribelles, Nuria, et al.. (2016). Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science. PLoS ONE. 11(8). e0161135–e0161135. 2 indexed citations
10.
Santonja, Ángela, Joan Albanell, Alfonso Sánchez‐Muñoz, et al.. (2016). Luminal androgen receptor role and pathological complete response rate to neoadjuvant chemotherapy in triple negative breast cancer. Annals of Oncology. 27. vi55–vi55.
11.
Santonja, Ángela, Bella Pajares, Nuria Ribelles, et al.. (2016). Germline genetic background contribution to metastatic dissemination in breast cancer extreme phenotype patients. Annals of Oncology. 27. vi546–vi546. 1 indexed citations
12.
Prat, Aleix, Patricia Galván, Begoña Jiménez, et al.. (2015). Prediction of Response to Neoadjuvant Chemotherapy Using Core Needle Biopsy Samples with the Prosigna Assay. Clinical Cancer Research. 22(3). 560–566. 64 indexed citations
13.
Pajares, Bella, Esperanza Torres, José Trigo, et al.. (2012). Tyrosine kinase inhibitors and drug interactions: a review with practical recommendations. Clinical & Translational Oncology. 14(2). 94–101. 29 indexed citations
14.
Sánchez‐Muñoz, Alfonso, Eva Carrasco, Ana Laura Ortega Granados, et al.. (2010). Is it Possible to Increase pCR in the Neoadjuvant Treatment With a Dose-Dense/Sequential Combination?. American Journal of Clinical Oncology. 33(5). 432–437. 12 indexed citations
15.
Pajares, Bella, et al.. (2010). Insidious mastalgia hiding a desmoid tumour of the breast. Clinical & Translational Oncology. 12(1). 63–65. 1 indexed citations
16.
Sánchez‐Muñoz, Alfonso, Elísabeth Pérez-Ruiz, Nuria Ribelles, et al.. (2010). Outcome of Small Invasive Breast Cancer with No Axillary Lymph Node Involvement. The Breast Journal. 17(1). 32–38. 8 indexed citations
17.
Sánchez‐Muñoz, Alfonso, Elena Gallego, Vanessa de Luque, et al.. (2010). Lack of evidence for KRAS oncogenic mutations in triple-negative breast cancer. BMC Cancer. 10(1). 136–136. 53 indexed citations
18.
Rueda, Antonio, Isabel Sevilla, Josep Gumà, et al.. (2001). Secondary Prophylactic G-CSF (Filgrastim) Administration in Chemotherapy of Stage I and II Hodgkin's Lymphoma with ABVD. Leukemia & lymphoma. 41(3-4). 353–358. 14 indexed citations
19.
Abad, Albert, et al.. (1991). 5-fluorouracil, ifosfamide and mitomycin (FIM) combination for pancreatic-biliary tumors. Annals of Oncology. 2(2). 153–153. 1 indexed citations
20.

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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