Ana Remírez

598 total citations
9 papers, 151 citations indexed

About

Ana Remírez is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ana Remírez has authored 9 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ana Remírez's work include Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Immune Cell Function and Interaction (3 papers). Ana Remírez is often cited by papers focused on Lung Cancer Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Immune Cell Function and Interaction (3 papers). Ana Remírez collaborates with scholars based in Spain, United States and Australia. Ana Remírez's co-authors include Rubén Pı́o, Luis M. Montuenga, Cristina Sainz, Jackeline Agorreta, Cristina Bértolo, María J. Pajares, Irati Garmendia, María D. Lozano, Miriam Redrado and Alfonso Calvo and has published in prestigious journals such as Thorax, Cancer Epidemiology Biomarkers & Prevention and Laboratory Investigation.

In The Last Decade

Ana Remírez

8 papers receiving 151 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ana Remírez Spain	7	76	48	48	37	33	9	151
Yuman He China	8	92 1.2×	63 1.3×	58 1.2×	41 1.1×	29 0.9×	12	178
Yongjie Xie China	7	72 0.9×	39 0.8×	49 1.0×	72 1.9×	34 1.0×	31	174
Minfang Song China	6	101 1.3×	44 0.9×	62 1.3×	49 1.3×	43 1.3×	12	180
Chenjun Huang China	8	133 1.8×	59 1.2×	98 2.0×	47 1.3×	21 0.6×	20	223
Jessica Yang United States	8	114 1.5×	24 0.5×	83 1.7×	61 1.6×	37 1.1×	20	199
Koen M. Marien Belgium	6	62 0.8×	37 0.8×	48 1.0×	60 1.6×	21 0.6×	11	164
Yuanhao Liu China	8	79 1.0×	43 0.9×	52 1.1×	52 1.4×	22 0.7×	20	186
Pedro Oliveira United Kingdom	6	72 0.9×	114 2.4×	28 0.6×	34 0.9×	13 0.4×	14	155
Johanna Burge United Kingdom	3	103 1.4×	39 0.8×	61 1.3×	35 0.9×	35 1.1×	3	159
Elke Pfaff Germany	4	48 0.6×	30 0.6×	56 1.2×	26 0.7×	13 0.4×	10	131

Countries citing papers authored by Ana Remírez

Since Specialization

Citations

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

Fields of papers citing papers by Ana Remírez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Remírez

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Remírez. A scholar is included among the top collaborators of Ana Remírez 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 Ana Remírez. Ana Remírez 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

Senent, Yaiza, Ana Remírez, Diana Llópiz, et al.. (2024). The C5a/C5aR1 Axis Promotes Migration of Tolerogenic Dendritic Cells to Lymph Nodes, Impairing the Anticancer Immune Response. Cancer Immunology Research. 13(3). 384–399. 6 indexed citations

Senent, Yaiza, Ana Remírez, Beatriz Tavira, & Daniel Ajona. (2024). A mouse model to assess immunotherapy-related colitis. Methods in cell biology. 192. 33–38.

Ajona, Daniel, Ana Remírez, Cristina Sainz, et al.. (2021). A model based on the quantification of complement C4c, CYFRA 21-1 and CRP exhibits high specificity for the early diagnosis of lung cancer. Translational research. 233. 77–91. 19 indexed citations

Redín, Esther, Irati Garmendia, Teresa Lozano, et al.. (2021). SRC family kinase (SFK) inhibitor dasatinib improves the antitumor activity of anti-PD-1 in NSCLC models by inhibiting Treg cell conversion and proliferation. Journal for ImmunoTherapy of Cancer. 9(3). e001496–e001496. 51 indexed citations

Villalba, María, Francisco Expósito, María J. Pajares, et al.. (2019). TMPRSS4: A Novel Tumor Prognostic Indicator for the Stratification of Stage IA Tumors and a Liquid Biopsy Biomarker for NSCLC Patients. Journal of Clinical Medicine. 8(12). 2134–2134. 18 indexed citations

Martínez‐Terroba, Elena, Teresa Ezponda, Cristina Bértolo, et al.. (2018). The oncogenic RNA-binding protein SRSF1 regulates LIG1 in non-small cell lung cancer. Laboratory Investigation. 98(12). 1562–1574. 31 indexed citations

Martínez‐Terroba, Elena, Carmen Behrens, Jackeline Agorreta, et al.. (2018). 5 protein-based signature for resectable lung squamous cell carcinoma improves the prognostic performance of the TNM staging. Thorax. 74(4). 371–379. 9 indexed citations

Pajares, María J., Isabel Zudaire, María D. Lozano, et al.. (2006). Molecular Profiling of Computed Tomography Screen-Detected Lung Nodules Shows Multiple Malignant Features. Cancer Epidemiology Biomarkers & Prevention. 15(2). 373–380. 13 indexed citations

Pina, M.A., et al.. (1998). Verapamil and acute dystonia.. PubMed. 23(1). 79–80. 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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