Daniel Jiménez‐Carretero

1.8k total citations
36 papers, 575 citations indexed

About

Daniel Jiménez‐Carretero is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Jiménez‐Carretero has authored 36 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Jiménez‐Carretero's work include Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Image Segmentation Techniques (4 papers). Daniel Jiménez‐Carretero is often cited by papers focused on Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Image Segmentation Techniques (4 papers). Daniel Jiménez‐Carretero collaborates with scholars based in Spain, United States and Czechia. Daniel Jiménez‐Carretero's co-authors include María J. Ledesma‐Carbayo, Raúl San Jośe Estépar, David Bermejo-Peláez, Pietro Nardelli, Marı́a C. Montoya, Farbod N. Rahaghi, George R. Washko, Miguel Torres, A. Santos and Cristina Claverı́a and has published in prestigious journals such as Nature Communications, Bioinformatics and The Journal of Immunology.

In The Last Decade

Daniel Jiménez‐Carretero

35 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Jiménez‐Carretero Spain 13 155 105 100 94 75 36 575
Germán González United States 18 317 2.0× 80 0.8× 204 2.0× 181 1.9× 33 0.4× 56 913
Hidenori Machino Japan 15 263 1.7× 174 1.7× 62 0.6× 46 0.5× 17 0.2× 25 719
Peter Burger United Kingdom 15 194 1.3× 101 1.0× 60 0.6× 243 2.6× 54 0.7× 40 702
Neo Christopher Chung Poland 10 162 1.0× 389 3.7× 82 0.8× 16 0.2× 72 1.0× 17 887
Duyen Thi Taiwan 11 178 1.1× 166 1.6× 60 0.6× 32 0.3× 16 0.2× 15 513
Chengyan Wang China 18 406 2.6× 222 2.1× 62 0.6× 209 2.2× 34 0.5× 74 1.0k
Omri Bar United States 8 81 0.5× 154 1.5× 36 0.4× 62 0.7× 19 0.3× 16 653
Robert Lutz United States 15 73 0.5× 127 1.2× 104 1.0× 22 0.2× 19 0.3× 43 710
Ken Takasawa Japan 15 188 1.2× 264 2.5× 69 0.7× 25 0.3× 15 0.2× 27 652

Countries citing papers authored by Daniel Jiménez‐Carretero

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jiménez‐Carretero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Jiménez‐Carretero. 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 Daniel Jiménez‐Carretero. The network helps show where Daniel Jiménez‐Carretero may publish in the future.

Co-authorship network of co-authors of Daniel Jiménez‐Carretero

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Jiménez‐Carretero. A scholar is included among the top collaborators of Daniel Jiménez‐Carretero 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 Daniel Jiménez‐Carretero. Daniel Jiménez‐Carretero 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.
Benito, José M., Daniel Jiménez‐Carretero, Ignacio Mahíllo, et al.. (2025). Long-Term Elite Controllers of HIV-1 Infection Exhibit a Deep Perturbation of Monocyte Homeostasis. International Journal of Molecular Sciences. 26(9). 3926–3926.
2.
Rallón, Norma, Daniel Jiménez‐Carretero, Clara Restrepo, et al.. (2024). A specific natural killer cells phenotypic signature associated to long term elite control of HIV infection. Journal of Medical Virology. 96(5). e29646–e29646. 2 indexed citations
3.
Arco, Pablo Gómez‐del, Joan Isern, Daniel Jiménez‐Carretero, et al.. (2024). The G4 resolvase Dhx36 modulates cardiomyocyte differentiation and ventricular conduction system development. Nature Communications. 15(1). 8602–8602. 1 indexed citations
4.
Maragh‐Bass, Allysha C., Francisco Sastre, Jessy G. Dévieux, et al.. (2024). Barriers to Accessing and Engaging in HIV Preventive Care and Pre-Exposure Prophylaxis Experienced by Transgender Women in Florida. International Journal of Environmental Research and Public Health. 21(3). 376–376. 4 indexed citations
5.
Guadamillas, Marta C., Dácil M. Pavón, Daniel Jiménez‐Carretero, et al.. (2024). Plasma membrane remodeling determines adipocyte expansion and mechanical adaptability. Nature Communications. 15(1). 10102–10102. 2 indexed citations
6.
Benito, José M., Daniel Jiménez‐Carretero, Clara Restrepo, et al.. (2024). T Cell Homeostasis Disturbances in a Cohort of Long-Term Elite Controllers of HIV Infection. International Journal of Molecular Sciences. 25(11). 5937–5937. 2 indexed citations
7.
Torres, Miguel, et al.. (2024). SpatialDDLS: an R package to deconvolute spatial transcriptomics data using neural networks. Bioinformatics. 40(2). 2 indexed citations
8.
Martínez‐Fleta, Pedro, Celeste Marcos, Daniel Jiménez‐Carretero, et al.. (2024). Imbalance of SARS-CoV-2-specific CCR6+ and CXCR3+ CD4+ T cells and IFN-γ + CD8+ T cells in patients with Long-COVID. Clinical Immunology. 264. 110267–110267. 1 indexed citations
9.
Jiménez‐Carretero, Daniel, V. Labrador, María José Andreu, et al.. (2022). Chromatin dynamics through mouse preimplantation development revealed by single molecule localisation microscopy. Biology Open. 11(8). 2 indexed citations
10.
Jiménez‐Carretero, Daniel, et al.. (2022). A deep learning-based tool for the automated detection and analysis of caveolae in transmission electron microscopy images. Computational and Structural Biotechnology Journal. 21. 224–237. 3 indexed citations
11.
Cyrus, Elena, et al.. (2021). Engagement in Care and Housing Instability Influence HIV Screening Among Transgender Individuals in South Florida. Transgender Health. 7(1). 52–60. 5 indexed citations
12.
Sudre, Carole H., Daniel Jiménez‐Carretero, Thomas Varsavsky, et al.. (2019). 3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. Pure Amsterdam UMC. 447–456. 1 indexed citations
13.
Jiménez‐Carretero, Daniel, et al.. (2018). A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images. Medical Image Analysis. 52. 144–159. 25 indexed citations
14.
Nardelli, Pietro, Daniel Jiménez‐Carretero, David Bermejo-Peláez, et al.. (2018). Pulmonary Artery–Vein Classification in CT Images Using Deep Learning. IEEE Transactions on Medical Imaging. 37(11). 2428–2440. 115 indexed citations
15.
Jiménez‐Carretero, Daniel, et al.. (2018). Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening. PLoS Computational Biology. 14(11). e1006238–e1006238. 51 indexed citations
16.
Nardelli, Pietro, Daniel Jiménez‐Carretero, David Bermejo-Peláez, et al.. (2017). Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images. PubMed. 2017. 384–387. 8 indexed citations
17.
González, Germán, Daniel Jiménez‐Carretero, Kanako K. Kumamaru, et al.. (2015). Automated Axial Right Ventricle to Left Ventricle Diameter Ratio Computation in Computed Tomography Pulmonary Angiography. PLoS ONE. 10(5). e0127797–e0127797. 9 indexed citations
18.
Jiménez‐Carretero, Daniel, et al.. (2013). A real time ECG preprocessing system based on ADS1298. Computing in Cardiology Conference. 947–950. 7 indexed citations
19.
Maier, Oskar, Daniel Jiménez‐Carretero, A. Santos, & María J. Ledesma‐Carbayo. (2012). Segmentation of RV in 4D cardiac MR volumes using region-merging graph cuts. UPM Digital Archive (Technical University of Madrid). 697–700. 19 indexed citations
20.
Jiménez‐Carretero, Daniel, Javier Pascau, José M. Tellado, et al.. (2011). Optimal multiresolution 3D level-set method for liver segmentation incorporating local curvature constraints. PubMed. 2011. 3419–3422. 16 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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