Rocío López‐Vacas

610 total citations
23 papers, 316 citations indexed

About

Rocío López‐Vacas is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rocío López‐Vacas has authored 23 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rocío López‐Vacas's work include Advanced Proteomics Techniques and Applications (5 papers), Bioinformatics and Genomic Networks (4 papers) and Ferroptosis and cancer prognosis (4 papers). Rocío López‐Vacas is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Bioinformatics and Genomic Networks (4 papers) and Ferroptosis and cancer prognosis (4 papers). Rocío López‐Vacas collaborates with scholars based in Spain, Switzerland and United States. Rocío López‐Vacas's co-authors include Angelo Gámez‐Pozo, Juan Ángel Fresno Vara, Enrique Espinosa, Mariana Díaz‐Almirón, Lucía Trilla‐Fuertes, Eva Ciruelos, Hilario Navarro, Jorge M. Arevalillo, Paloma Maı́n and Paolo Nanni and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Rocío López‐Vacas

23 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rocío López‐Vacas Spain 10 159 96 78 74 67 23 316
Zhefeng Xiao China 8 208 1.3× 62 0.6× 71 0.9× 74 1.0× 44 0.7× 14 293
Mykola Chekan Poland 15 290 1.8× 113 1.2× 67 0.9× 107 1.4× 36 0.5× 20 484
Katharina Lohrig Germany 8 172 1.1× 52 0.5× 54 0.7× 52 0.7× 68 1.0× 8 319
Evangelia K. Papachristou United Kingdom 11 279 1.8× 94 1.0× 76 1.0× 35 0.5× 52 0.8× 18 411
Berta Martín Spain 9 218 1.4× 92 1.0× 96 1.2× 24 0.3× 49 0.7× 14 328
Ulrich Vogel Germany 8 234 1.5× 106 1.1× 91 1.2× 39 0.5× 51 0.8× 17 379
Tommaso De Marchi Netherlands 13 299 1.9× 133 1.4× 109 1.4× 129 1.7× 58 0.9× 23 447
Christopher J. Sevinsky United States 10 253 1.6× 110 1.1× 116 1.5× 43 0.6× 29 0.4× 13 405
Anuli C. Uzozie Canada 8 230 1.4× 81 0.8× 74 0.9× 94 1.3× 21 0.3× 15 344
Julia Benzel Germany 9 115 0.7× 71 0.7× 92 1.2× 32 0.4× 22 0.3× 18 263

Countries citing papers authored by Rocío López‐Vacas

Since Specialization
Citations

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

Fields of papers citing papers by Rocío López‐Vacas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rocío López‐Vacas. 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 Rocío López‐Vacas. The network helps show where Rocío López‐Vacas may publish in the future.

Co-authorship network of co-authors of Rocío López‐Vacas

This figure shows the co-authorship network connecting the top 25 collaborators of Rocío López‐Vacas. A scholar is included among the top collaborators of Rocío López‐Vacas 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 Rocío López‐Vacas. Rocío López‐Vacas 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.
García‐Fernández, Esther, Pablo Gajate, Antje Dittmann, et al.. (2024). 2005P Prediction of response and identification of mechanisms of resistance to neoadjuvant chemotherapy according to molecular subtypes in muscle-invasive bladder carcinoma. Annals of Oncology. 35. S1158–S1158. 1 indexed citations
2.
Gámez‐Pozo, Angelo, Ismael Ghanem, Rocío López‐Vacas, et al.. (2024). Layer Analysis Based on RNA-Seq Reveals Molecular Complexity of Gastric Cancer. International Journal of Molecular Sciences. 25(21). 11371–11371. 1 indexed citations
3.
Miranda, Jesús, Lucía Trilla‐Fuertes, Rocío López‐Vacas, et al.. (2023). Proteomics Characterization of Clear Cell Renal Cell Carcinoma. Journal of Clinical Medicine. 12(1). 384–384. 4 indexed citations
4.
López‐Camacho, Elena, Rocío López‐Vacas, Mariana Díaz‐Almirón, et al.. (2023). A Novel Molecular Analysis Approach in Colorectal Cancer Suggests New Treatment Opportunities. Cancers. 15(4). 1104–1104. 2 indexed citations
5.
Miranda, Jesús, Lucía Trilla‐Fuertes, Elena López‐Camacho, et al.. (2022). MiRNAs in renal cell carcinoma. Clinical & Translational Oncology. 24(11). 2055–2063. 7 indexed citations
6.
Vasudev, Naveen, Rocío López‐Vacas, Michelle Wilson, et al.. (2022). 1473P A prognostic microRNA-based signature for relapse risk prediction and definition of therapeutic targets in patients with high-risk localized clear cell renal cell carcinoma. Annals of Oncology. 33. S1220–S1220. 1 indexed citations
7.
Trilla‐Fuertes, Lucía, Angelo Gámez‐Pozo, Joan Maurel, et al.. (2021). Description of the genetic variants identified in a cohort of patients diagnosed with localized anal squamous cell carcinoma and treated with panitumumab. Scientific Reports. 11(1). 7402–7402. 1 indexed citations
8.
Trilla‐Fuertes, Lucía, Angelo Gámez‐Pozo, Cristina Chiva, et al.. (2021). Molecular characterization of triple negative breast cancer formaldehyde‐fixed paraffin‐embedded samples by data‐independent acquisition proteomics. PROTEOMICS. 22(3). e2100110–e2100110. 5 indexed citations
9.
Trilla‐Fuertes, Lucía, Angelo Gámez‐Pozo, Elena López‐Camacho, et al.. (2020). Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer. BMC Cancer. 20(1). 307–307. 14 indexed citations
10.
Trilla‐Fuertes, Lucía, Daniel Castellano, Rocío López‐Vacas, et al.. (2020). miRNA profiling in renal carcinoma suggest the existence of a group of pro-angionenic tumors in localized clear cell renal carcinoma. PLoS ONE. 15(2). e0229075–e0229075. 7 indexed citations
11.
Trilla‐Fuertes, Lucía, Angelo Gámez‐Pozo, Jorge M. Arevalillo, et al.. (2020). Bayesian networks established functional differences between breast cancer subtypes. PLoS ONE. 15(6). e0234752–e0234752. 5 indexed citations
12.
Trilla‐Fuertes, Lucía, Angelo Gámez‐Pozo, Mariana Díaz‐Almirón, et al.. (2019). Computational Metabolism Modeling Predicts Risk of Distant Relapse-Free Survival in Breast Cancer Patients. Future Oncology. 15(30). 3483–3490. 3 indexed citations
13.
Trilla‐Fuertes, Lucía, Angelo Gámez‐Pozo, Cristina Chiva, et al.. (2019). Proteomics characterisation of central nervous system metastasis biomarkers in triple negative breast cancer. ecancermedicalscience. 13. 891–891. 10 indexed citations
14.
Gámez‐Pozo, Angelo, Lucía Trilla‐Fuertes, Jorge M. Arevalillo, et al.. (2019). A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses. Scientific Reports. 9(1). 1538–1538. 50 indexed citations
15.
Trilla‐Fuertes, Lucía, Angelo Gámez‐Pozo, Mariana Díaz‐Almirón, et al.. (2019). Melanoma proteomics suggests functional differences related to mutational status. Scientific Reports. 9(1). 7217–7217. 9 indexed citations
16.
Velasco, Guillermo de, Lucía Trilla‐Fuertes, Angelo Gámez‐Pozo, et al.. (2017). Urothelial cancer proteomics provides both prognostic and functional information. Scientific Reports. 7(1). 15819–15819. 16 indexed citations
17.
Gámez‐Pozo, Angelo, Lucía Trilla‐Fuertes, Cristina Chiva, et al.. (2017). Prediction of adjuvant chemotherapy response in triple negative breast cancer with discovery and targeted proteomics. PLoS ONE. 12(6). e0178296–e0178296. 22 indexed citations
18.
Gámez‐Pozo, Angelo, Juan Manuel Sepúlveda-Sánchez, Luís Manso, et al.. (2016). Characterisation of the triple negative breast cancer phenotype associated with the development of central nervous system metastases. ecancermedicalscience. 10. 632–632. 10 indexed citations
19.
Gámez‐Pozo, Angelo, Jorge M. Arevalillo, Paolo Nanni, et al.. (2015). Combined Label-Free Quantitative Proteomics and microRNA Expression Analysis of Breast Cancer Unravel Molecular Differences with Clinical Implications. Cancer Research. 75(11). 2243–2253. 39 indexed citations
20.
Gámez‐Pozo, Angelo, Iker Sánchez‐Navarro, Enrique Calvo, et al.. (2012). PTRF/Cavin-1 and MIF Proteins Are Identified as Non-Small Cell Lung Cancer Biomarkers by Label-Free Proteomics. PLoS ONE. 7(3). e33752–e33752. 65 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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