Isaac Daimiel Naranjo

869 total citations
20 papers, 548 citations indexed

About

Isaac Daimiel Naranjo is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Surgery. According to data from OpenAlex, Isaac Daimiel Naranjo has authored 20 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 4 papers in Surgery. Recurrent topics in Isaac Daimiel Naranjo's work include MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and AI in cancer detection (6 papers). Isaac Daimiel Naranjo is often cited by papers focused on MRI in cancer diagnosis (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and AI in cancer detection (6 papers). Isaac Daimiel Naranjo collaborates with scholars based in United States, Austria and Spain. Isaac Daimiel Naranjo's co-authors include Katja Pinker, Roberto Lo Gullo, Elizabeth A. Morris, Carolina Rossi Saccarelli, Sunitha B. Thakur, Almir Galvão Vieira Bitencourt, Maxine S. Jochelson, Peter Gibbs, Michael J. Fox and Monica Morrow and has published in prestigious journals such as European Journal of Cancer, Breast Cancer Research and Treatment and Journal of Magnetic Resonance Imaging.

In The Last Decade

Isaac Daimiel Naranjo

20 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Isaac Daimiel Naranjo United States	12	415	165	111	67	62	20	548
Yixin Hu China	8	400 1.0×	239 1.4×	83 0.7×	75 1.1×	79 1.3×	14	522
Rushuang Mao China	7	415 1.0×	237 1.4×	85 0.8×	93 1.4×	82 1.3×	12	521
Yini Huang China	10	493 1.2×	266 1.6×	107 1.0×	131 2.0×	97 1.6×	23	665
Domiziana Santucci Italy	14	254 0.6×	90 0.5×	106 1.0×	71 1.1×	47 0.8×	56	458
Ramón Correa United States	11	372 0.9×	93 0.6×	110 1.0×	85 1.3×	46 0.7×	30	526
Xueyi Zheng China	9	418 1.0×	228 1.4×	110 1.0×	101 1.5×	98 1.6×	15	605
Charlie Alexander Hamm Germany	11	421 1.0×	183 1.1×	156 1.4×	93 1.4×	47 0.8×	24	671
Xinhua Ye China	13	269 0.6×	117 0.7×	67 0.6×	50 0.7×	47 0.8×	37	536
Ray C. Mayo United States	10	210 0.5×	146 0.9×	167 1.5×	46 0.7×	44 0.7×	16	422
Mireia Crispin‐Ortuzar United Kingdom	10	337 0.8×	121 0.7×	109 1.0×	92 1.4×	50 0.8×	27	471

Countries citing papers authored by Isaac Daimiel Naranjo

Since Specialization

Citations

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

Fields of papers citing papers by Isaac Daimiel Naranjo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isaac Daimiel Naranjo. 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 Isaac Daimiel Naranjo. The network helps show where Isaac Daimiel Naranjo may publish in the future.

Co-authorship network of co-authors of Isaac Daimiel Naranjo

This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Daimiel Naranjo. A scholar is included among the top collaborators of Isaac Daimiel Naranjo 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 Isaac Daimiel Naranjo. Isaac Daimiel Naranjo 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

Naranjo, Isaac Daimiel, Arka Bhowmik, Roberto Lo Gullo, et al.. (2024). Assessment of Hypoxia in Breast Cancer: Emerging Functional MR Imaging and Spectroscopy Techniques and Clinical Applications. Journal of Magnetic Resonance Imaging. 61(1). 83–96. 1 indexed citations

Naranjo, Isaac Daimiel, Peter Gibbs, Roberto Lo Gullo, et al.. (2022). Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance. Cancers. 14(7). 1743–1743. 23 indexed citations

Naranjo, Isaac Daimiel, Peter Gibbs, Roberto Lo Gullo, et al.. (2021). Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis. Diagnostics. 11(6). 919–919. 41 indexed citations

Bitencourt, Almir Galvão Vieira, Isaac Daimiel Naranjo, Roberto Lo Gullo, Carolina Rossi Saccarelli, & Katja Pinker. (2021). AI-enhanced breast imaging: Where are we and where are we heading?. European Journal of Radiology. 142. 109882–109882. 49 indexed citations

Gullo, Roberto Lo, Carolina Rossi Saccarelli, Peter Gibbs, et al.. (2021). Diagnostic value of radiomics and machine learning with dynamic contrast-enhanced magnetic resonance imaging for patients with atypical ductal hyperplasia in predicting malignant upgrade. Breast Cancer Research and Treatment. 187(2). 535–545. 11 indexed citations

Naranjo, Isaac Daimiel, Alexis Reymbaut, Patrik Brynolfsson, et al.. (2021). Multidimensional Diffusion Magnetic Resonance Imaging for Characterization of Tissue Microstructure in Breast Cancer Patients: A Prospective Pilot Study. Cancers. 13(7). 1606–1606. 19 indexed citations

Bitencourt, Almir Galvão Vieira, Peter Gibbs, Carolina Rossi Saccarelli, et al.. (2020). MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer. EBioMedicine. 61. 103042–103042. 112 indexed citations

Gullo, Roberto Lo, Isaac Daimiel Naranjo, Elizabeth A. Morris, & Katja Pinker. (2020). Combining molecular and imaging metrics in cancer: radiogenomics. Insights into Imaging. 11(1). 1–1. 123 indexed citations

Naranjo, Isaac Daimiel, Roberto Lo Gullo, Elizabeth A. Morris, et al.. (2020). High-Spatial-Resolution Multishot Multiplexed Sensitivity-encoding Diffusion-weighted Imaging for Improved Quality of Breast Images and Differentiation of Breast Lesions: A Feasibility Study. Radiology Imaging Cancer. 2(3). e190076–e190076. 20 indexed citations

10.

Gullo, Roberto Lo, Isaac Daimiel Naranjo, Carolina Rossi Saccarelli, et al.. (2020). Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers. European Radiology. 30(12). 6721–6731. 28 indexed citations

11.

Naranjo, Isaac Daimiel, et al.. (2020). Radiomics and Machine Learning with DWI for breast cancer diagnosis: Comparison with dynamic contrast enhanced and multiparametric MRI. European Journal of Cancer. 138. S13–S14. 1 indexed citations

12.

Gullo, Roberto Lo, Isaac Daimiel Naranjo, Carolina Rossi Saccarelli, et al.. (2020). MRI background parenchymal enhancement, fibroglandular tissue, and mammographic breast density in patients with invasive lobular breast cancer on adjuvant endocrine hormonal treatment: associations with survival. Breast Cancer Research. 22(1). 93–93. 6 indexed citations

13.

Naranjo, Isaac Daimiel, Roberto Lo Gullo, Carolina Rossi Saccarelli, et al.. (2020). Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI. European Radiology. 31(1). 356–367. 36 indexed citations

14.

Bitencourt, Almir Galvão Vieira, Peter Gibbs, Carolina Rossi Saccarelli, et al.. (2020). MRI-Based Machine Learning Radiomics Can Predict HER2 Expression Level and Pathologic Response after Neoadjuvant Therapy in HER2 Overexpressing Breast Cancer. SSRN Electronic Journal. 3 indexed citations

15.

Naranjo, Isaac Daimiel. (2019). Insights into Hypoxia: Non-invasive Assessment through Imaging Modalities and Its Application in Breast Cancer. Journal of Breast Cancer. 22(2). 155–155. 18 indexed citations

16.

Naranjo, Isaac Daimiel, et al.. (2018). Ecografía automática de mama para la detección de lesiones mamarias: Comparación con la ecografía mamaria convencional. Revista de Senología y Patología Mamaria. 31(3). 108–113. 1 indexed citations

17.

Naranjo, Isaac Daimiel, et al.. (2016). Inguinoscrotal Pathology on Computed Tomography: An Alternative Perspective. Canadian Association of Radiologists Journal. 67(3). 225–233. 5 indexed citations

18.

Naranjo, Isaac Daimiel, et al.. (2015). Polycystic Thyroid Disease in Pediatric Patients. Journal of Ultrasound in Medicine. 35(1). 209–211. 2 indexed citations

19.

Arévalo‐Pérez, Julio, et al.. (2013). Angio CT assessment of anatomical variants in renal vasculature: its importance in the living donor. Insights into Imaging. 4(2). 199–211. 48 indexed citations

20.

Chamorro, E. Martínez, et al.. (2012). Intraluminal gas in non-perforated acute appendicitis: a CT sign of gangrenous appendicitis. 1 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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