Manuel Escobar

873 total citations
30 papers, 496 citations indexed

About

Manuel Escobar is a scholar working on Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Manuel Escobar has authored 30 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Organic Chemistry and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Manuel Escobar's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Computational Drug Discovery Methods (5 papers) and Cardiac Valve Diseases and Treatments (4 papers). Manuel Escobar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Computational Drug Discovery Methods (5 papers) and Cardiac Valve Diseases and Treatments (4 papers). Manuel Escobar collaborates with scholars based in Spain, Chile and Germany. Manuel Escobar's co-authors include Francisco Prado-Prado, Humberto González‐Díaz, Xerardo García‐Mera, Matilde Yáñez, Kinga Bernatowicz, Marta Ligero, Raquel Pérez-López, Richard Mast, Arturo Navarro-Martín and Cristina Suárez and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Catalysis and Journal of Theoretical Biology.

In The Last Decade

Manuel Escobar

30 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manuel Escobar Spain	12	153	101	96	88	72	30	496
Victor Sokolov Russia	16	50 0.3×	40 0.4×	114 1.2×	196 2.2×	79 1.1×	65	601
Clara Hartmanshenn United States	8	48 0.3×	35 0.3×	199 2.1×	41 0.5×	20 0.3×	13	603
Marc Landsman United States	9	50 0.3×	16 0.2×	69 0.7×	36 0.4×	21 0.3×	20	261
Francesco Bartoli Italy	11	49 0.3×	13 0.1×	82 0.9×	40 0.5×	31 0.4×	43	317
Xu Zhu China	16	34 0.2×	20 0.2×	123 1.3×	51 0.6×	73 1.0×	42	704
David G. Jones United Kingdom	19	178 1.2×	19 0.2×	330 3.4×	52 0.6×	49 0.7×	49	1.4k
Yanlin Zhu China	12	38 0.2×	12 0.1×	123 1.3×	92 1.0×	87 1.2×	38	559
Markus Fischer Germany	13	96 0.6×	10 0.1×	180 1.9×	92 1.0×	34 0.5×	39	726
Danial Shamshirian Iran	10	34 0.2×	38 0.4×	88 0.9×	22 0.3×	23 0.3×	23	350

Countries citing papers authored by Manuel Escobar

Since Specialization

Citations

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

Fields of papers citing papers by Manuel Escobar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Escobar

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Escobar. A scholar is included among the top collaborators of Manuel Escobar 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 Manuel Escobar. Manuel Escobar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bernatowicz, Kinga, Ramon Amat, Joan Frigola, et al.. (2025). Radiomics signature for dynamic monitoring of tumor inflamed microenvironment and immunotherapy response prediction. Journal for ImmunoTherapy of Cancer. 13(1). e009140–e009140. 9 indexed citations

Rosón, Núria, et al.. (2025). Validation of a tele-robotic ultrasound system for abdomen and thyroid gland explorations: a comparison with standard ultrasound. The Ultrasound Journal. 17(1). 2–2. 1 indexed citations

Bernatowicz, Kinga, S. Simonetti, Garazi Serna, et al.. (2025). SpinFlowSim: A blood flow simulation framework for histology-informed diffusion MRI microvasculature mapping in cancer. Medical Image Analysis. 102. 103531–103531. 1 indexed citations

Navarro, Vı́ctor, Marta Ligero, Alonso García-Ruiz, et al.. (2024). Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer. Radiology Artificial Intelligence. 6(2). e230118–e230118. 15 indexed citations

Rosón, Núria, Richard Mast, Javier Pizones, et al.. (2024). The Role of Radiomics in the Prediction of Clinically Significant Prostate Cancer in the PI-RADS v2 and v2.1 Era: A Systematic Review. Cancers. 16(17). 2951–2951. 5 indexed citations

Pericàs, Juan M., Andreea Ciudin, Manuel Escobar, et al.. (2024). Metabolic-associated fatty liver voxel-based quantification on CT images using a contrast adapted automatic tool. Medical Image Analysis. 95. 103185–103185. 1 indexed citations

Rosón, Núria, et al.. (2022). Experience and results after the implementation of a radiology day unit in a reference hospital. Insights into Imaging. 13(1). 109–109. 1 indexed citations

Moróte, Juan, Ángel Borque‐Fernando, A. Celma, et al.. (2022). The Barcelona Predictive Model of Clinically Significant Prostate Cancer. Cancers. 14(6). 1589–1589. 22 indexed citations

Roque, Albert, M.N. Pizzi, Núria Fernández-Hidalgo, et al.. (2021). The valve uptake index: improving assessment of prosthetic valve endocarditis and updating [18F]FDG PET/CT(A) imaging criteria. European Heart Journal - Cardiovascular Imaging. 23(9). 1260–1271. 10 indexed citations

10.

Serres, Xavier, Joan Vidal-Jové, Timothy J. Ziemlewicz, et al.. (2021). Contrast-Enhanced Ultrasound: A Useful Tool to Study and Monitor Hepatic Tumors Treated With Histotripsy. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(9). 2853–2860. 9 indexed citations

11.

Cuellar, H, Albert Roque, José F. Rodríguez‐Palomares, et al.. (2021). Differences in the Area of Proximal and Distal Entry Tears at CT Angiography Predict Long-term Clinical Outcomes in Aortic Dissection. Radiology Cardiothoracic Imaging. 3(6). e210029–e210029. 12 indexed citations

12.

Roque, Albert, M.N. Pizzi, Núria Fernández-Hidalgo, et al.. (2020). Mosaic Bioprostheses May Mimic Infective Endocarditis by PET/CTA. JACC. Cardiovascular imaging. 13(10). 2239–2244. 11 indexed citations

13.

Ligero, Marta, Kinga Bernatowicz, Alonso García-Ruiz, et al.. (2020). Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis. European Radiology. 31(3). 1460–1470. 113 indexed citations

14.

Roque, Albert, M.N. Pizzi, Núria Fernández-Hidalgo, et al.. (2019). Morpho-metabolic post-surgical patterns of non-infected prosthetic heart valves by [18F]FDG PET/CTA: “normality” is a possible diagnosis. European Heart Journal - Cardiovascular Imaging. 21(1). 24–33. 51 indexed citations

15.

Rivas, R., et al.. (2015). Archivo y memoria. La experiencia del archivo oral de Villa Grimaldi. SHILAP Revista de lepidopterología. 2 indexed citations

16.

Escobar, Manuel, Mauricio Valderrama, Constantin G. Daniliuc, & René S. Rojas. (2015). Synthesis and Characterization of New Diazenecarboxamide Ligands Using a Selective Adduct Formation with B(C₆F₅)₃. Journal of the Brazilian Chemical Society. 1 indexed citations

17.

Escobar, Manuel, Danilo H. Jara, Ricardo A. Tapia, et al.. (2013). Copper(I) complexes bases on a new indazol-4,7-dione ligand. Polyhedron. 62. 66–74. 6 indexed citations

18.

Prado-Prado, Francisco, Manuel Escobar, Cristian R. Munteanu, et al.. (2012). From QSAR models of Drugs to Complex Networks: State-of-Art Review and Introduction of New Markov-Spectral Moments Indices. Current Topics in Medicinal Chemistry. 12(8). 927–960. 28 indexed citations

19.

Munteanu, Cristian R., Manuel Escobar, Francisco Prado-Prado, et al.. (2011). New Markov–Shannon Entropy models to assess connectivity quality in complex networks: From molecular to cellular pathway, Parasite–Host, Neural, Industry, and Legal–Social networks. Journal of Theoretical Biology. 293. 174–188. 36 indexed citations

20.

Prado-Prado, Francisco, Xerardo García‐Mera, Manuel Escobar, et al.. (2011). 2D MI-DRAGON: A new predictor for protein–ligands interactions and theoretic-experimental studies of US FDA drug-target network, oxoisoaporphine inhibitors for MAO-A and human parasite proteins. European Journal of Medicinal Chemistry. 46(12). 5838–5851. 40 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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