Diego Hernando

7.7k total citations · 1 hit paper
182 papers, 5.7k citations indexed

About

Diego Hernando is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Hepatology. According to data from OpenAlex, Diego Hernando has authored 182 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Radiology, Nuclear Medicine and Imaging, 67 papers in Epidemiology and 23 papers in Hepatology. Recurrent topics in Diego Hernando's work include Advanced MRI Techniques and Applications (111 papers), Liver Disease Diagnosis and Treatment (65 papers) and MRI in cancer diagnosis (60 papers). Diego Hernando is often cited by papers focused on Advanced MRI Techniques and Applications (111 papers), Liver Disease Diagnosis and Treatment (65 papers) and MRI in cancer diagnosis (60 papers). Diego Hernando collaborates with scholars based in United States, Germany and Spain. Diego Hernando's co-authors include Scott B. Reeder, Justin P. Haldar, Zhi‐Pei Liang, Peter Kellman, Claude B. Sirlin, Perry J. Pickhardt, Jens‐Peter Kühn, Samir D. Sharma, Debra E. Horng and Yakir S. Levin and has published in prestigious journals such as Blood, PLoS ONE and Hepatology.

In The Last Decade

Diego Hernando

168 papers receiving 5.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quantification of Liver Fat Content with CT and MRI: State of the Art

2021 154 citations Jitka Starekova, Diego Hernando et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Hernando United States	42	3.1k	2.2k	954	631	487	182	5.7k
Huanzhou Yu United States	31	3.5k 1.1×	1.8k 0.8×	802 0.8×	811 1.3×	158 0.3×	43	5.3k
Charles A. McKenzie Canada	40	3.6k 1.1×	2.0k 0.9×	830 0.9×	778 1.2×	124 0.3×	118	6.5k
Ann Shimakawa United States	40	4.8k 1.5×	1.4k 0.6×	572 0.6×	1.5k 2.3×	159 0.3×	84	6.8k
Hiroaki Shimizu Japan	54	2.2k 0.7×	1.5k 0.7×	1.4k 1.5×	312 0.5×	287 0.6×	363	11.2k
Alex M. Aisen United States	44	2.6k 0.8×	826 0.4×	385 0.4×	353 0.6×	160 0.3×	110	6.0k
Hiroshi Date Japan	59	966 0.3×	857 0.4×	583 0.6×	476 0.8×	300 0.6×	762	14.9k
G. van Kaick Germany	44	3.7k 1.2×	652 0.3×	305 0.3×	154 0.2×	667 1.4×	251	6.3k
Shreyas Vasanawala United States	44	5.4k 1.7×	706 0.3×	196 0.2×	806 1.3×	82 0.2×	201	7.4k
Pascal Spincemaille United States	41	4.8k 1.5×	528 0.2×	118 0.1×	236 0.4×	127 0.3×	174	6.5k
Marco Maggioni Italy	45	235 0.1×	2.8k 1.2×	1.6k 1.7×	385 0.6×	265 0.5×	156	6.3k

Countries citing papers authored by Diego Hernando

Since Specialization

Citations

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

Fields of papers citing papers by Diego Hernando

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Hernando

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

Tamada, Daiki, Jitka Starekova, Julius F. Heidenreich, et al.. (2025). Optimized motion‐insensitive PDFF mapping of the liver. Magnetic Resonance in Medicine. 95(1). 249–267.

Scott, Tammy, et al.. (2025). Limitations of Bone Marrow Relative Fat Fraction Compared With Proton Density Fat Fraction. Journal of Computer Assisted Tomography.

Heidenreich, Julius F., Daiki Tamada, Lukáš Müller, et al.. (2025). Motion‐Insensitive Flip Angle Modulated Liver Proton Density Fat‐Fraction and R2* Mapping During Free‐Breathing MRI in a Clinical Setting. Journal of Magnetic Resonance Imaging. 62(5). 1452–1463. 2 indexed citations

Tamada, Daiki, et al.. (2025). Whole liver phase‐based R2 mapping in liver iron overload within a breath‐hold. Magnetic Resonance in Medicine. 94(1). 183–198. 2 indexed citations

Velikina, Julia, Lu Mao, Ruiyang Zhao, et al.. (2024). Multicenter, multivendor validation of liver quantitative susceptibility mapping in patients with iron overload at 1.5 T and 3 T. Magnetic Resonance in Medicine. 93(1). 330–340.

Tamada, Daiki, et al.. (2024). Free‐breathing, fat‐corrected T₁ mapping of the liver with stack‐of‐stars MRI, and joint estimation of T₁, PDFF, R2*, and B1+. Magnetic Resonance in Medicine. 92(5). 1913–1932. 5 indexed citations

Tamada, Daiki, Rianne A. van der Heijden, Jayse Weaver, Diego Hernando, & Scott B. Reeder. (2024). Confidence maps for reliable estimation of proton density fat fraction and R2* in the liver. Magnetic Resonance in Medicine. 91(5). 2172–2187. 4 indexed citations

Reeder, Scott B., et al.. (2023). Morphological Characterization of Hepatic Steatosis Using Stereology and Spatial Statistics. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations

Reeder, Scott B., Takeshi Yokoo, Manuela França, et al.. (2023). Quantification of Liver Iron Overload with MRI: Review and Guidelines from the ESGAR and SAR. Radiology. 307(1). e221856–e221856. 64 indexed citations

10.

Tamada, Daiki, et al.. (2023). Confounder‐correctedT₁mapping in the liver through simultaneous estimation ofT₁,PDFF, R2*, and B1+ in a single breath‐hold acquisition. Magnetic Resonance in Medicine. 89(6). 2186–2203. 10 indexed citations

11.

Troalen, Thomas, Patrick Viout, Diego Hernando, et al.. (2023). Comparative review of algorithms and methods for chemical‐shift‐encoded quantitative fat‐water imaging. Magnetic Resonance in Medicine. 91(2). 741–759. 7 indexed citations

12.

Lawrence, Edward M., Yuxin Zhang, Jitka Starekova, et al.. (2022). Reduced field-of-view and multi-shot DWI acquisition techniques: Prospective evaluation of image quality and distortion reduction in prostate cancer imaging. Magnetic Resonance Imaging. 93. 108–114. 15 indexed citations

13.

Jiang, Ting, Jing Zhou, Sichi Kuang, et al.. (2021). Accuracies of Chemical Shift In/Opposed Phase and Chemical Shift Encoded Magnetic Resonance Imaging to Detect Intratumoral Fat in Hepatocellular Carcinoma. Journal of Magnetic Resonance Imaging. 53(6). 1791–1802. 7 indexed citations

14.

Brace, Christopher L., Lu Mao, William A. Ricke, et al.. (2021). Effect of Metabolic Syndrome on Anatomy and Function of the Lower Urinary Tract Assessed on MRI. Urology. 159. 176–181.

15.

Weingärtner, Sebastian, Kimberly L. Desmond, Nancy A. Obuchowski, et al.. (2021). Development, validation, qualification, and dissemination of quantitative MR methods: Overview and recommendations by the ISMRM quantitative MR study group. Magnetic Resonance in Medicine. 87(3). 1184–1206. 27 indexed citations

16.

Wiepz, Gregory J., Michele L. Schotzko, Heather A. Simmons, et al.. (2019). Impact of ferumoxytol magnetic resonance imaging on the rhesus macaque maternal–fetal interface†. Biology of Reproduction. 102(2). 434–444. 11 indexed citations

17.

Hernando, Diego, Shane A. Wells, Karl K. Vigen, & Scott B. Reeder. (2014). Effect of hepatocyte-specific gadolinium-based contrast agents on hepatic fat-fraction and R2⁎. Magnetic Resonance Imaging. 33(1). 43–50. 16 indexed citations

18.

Hernando, Diego, et al.. (2012). Modelo para micro-simulación de tráfico vehicular y peatonal utilizando CUDA. instname:Universidad de los Andes.

19.

Hernando, Diego, Karl K. Vigen, Ann Shimakawa, & Scott B. Reeder. (2011). R mapping in the presence of macroscopic B₀ field variations. Magnetic Resonance in Medicine. 68(3). 830–840. 79 indexed citations

20.

Hernando, Diego, Zhi‐Pei Liang, & Peter Kellman. (2010). Chemical shift–based water/fat separation: A comparison of signal models. Magnetic Resonance in Medicine. 64(3). 811–822. 119 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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