Ingolf Sack

11.9k total citations
265 papers, 9.4k citations indexed

About

Ingolf Sack is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Ingolf Sack has authored 265 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Radiology, Nuclear Medicine and Imaging, 153 papers in Biomedical Engineering and 49 papers in Epidemiology. Recurrent topics in Ingolf Sack's work include Ultrasound Imaging and Elastography (160 papers), Elasticity and Material Modeling (99 papers) and Advanced MRI Techniques and Applications (55 papers). Ingolf Sack is often cited by papers focused on Ultrasound Imaging and Elastography (160 papers), Elasticity and Material Modeling (99 papers) and Advanced MRI Techniques and Applications (55 papers). Ingolf Sack collaborates with scholars based in Germany, United States and China. Ingolf Sack's co-authors include Jürgen Braun, Dieter Klatt, Sebastian Papazoglou, Jing Guo, Uwe Hamhaber, Sebastian Hirsch, Heiko Tzschätzsch, Kaspar‐Josche Streitberger, Patrick Asbach and Bernd Hamm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and PLoS ONE.

In The Last Decade

Ingolf Sack

259 papers receiving 9.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ingolf Sack 6.3k 5.6k 1.4k 1.0k 944 265 9.4k
Ralph Sinkus 4.9k 0.8× 4.2k 0.7× 1.9k 1.3× 1.0k 1.0× 549 0.6× 161 7.8k
Kevin J. Glaser 3.5k 0.6× 2.8k 0.5× 3.0k 2.2× 479 0.5× 465 0.5× 120 7.0k
Joel P. Felmlee 5.3k 0.8× 2.4k 0.4× 580 0.4× 434 0.4× 220 0.2× 182 8.1k
Phillip J. Rossman 4.5k 0.7× 2.6k 0.5× 1.3k 0.9× 831 0.8× 182 0.2× 80 6.3k
Alexander L. Klibanov 3.6k 0.6× 9.0k 1.6× 367 0.3× 147 0.1× 382 0.4× 230 15.4k
R. Félix 3.1k 0.5× 3.4k 0.6× 879 0.6× 231 0.2× 117 0.1× 403 9.2k
Raja Muthupillai 3.3k 0.5× 2.1k 0.4× 575 0.4× 665 0.7× 106 0.1× 96 5.4k
Katherine W. Ferrara 4.6k 0.7× 10.9k 2.0× 203 0.1× 464 0.5× 151 0.2× 316 14.6k
Shigao Chen 4.4k 0.7× 4.2k 0.8× 667 0.5× 1.7k 1.6× 158 0.2× 228 6.6k
Kullervo Hynynen 18.9k 3.0× 29.8k 5.4× 344 0.2× 1.6k 1.5× 186 0.2× 616 36.3k

Countries citing papers authored by Ingolf Sack

Since Specialization
Citations

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

Fields of papers citing papers by Ingolf Sack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingolf Sack

This figure shows the co-authorship network connecting the top 25 collaborators of Ingolf Sack. A scholar is included among the top collaborators of Ingolf Sack 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 Ingolf Sack. Ingolf Sack 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
2.
Chong, Huanhuan, Tianyi Zhang, Yikun Wang, et al.. (2024). Three‐Dimensional Multifrequency MR Elastography for Microvascular Invasion and Prognosis Assessment in Hepatocellular Carcinoma. Journal of Magnetic Resonance Imaging. 60(6). 2626–2640. 2 indexed citations
3.
Koch, Stefan, Susanne Mueller, Heiko Tzschätzsch, et al.. (2024). Cortical matrix remodeling as a hallmark of relapsing–remitting neuroinflammation in MR elastography and quantitative MRI. Acta Neuropathologica. 147(1). 8–8. 3 indexed citations
4.
Sack, Ingolf, Adam E. Hansen, Rudi Dierckx, et al.. (2024). Reproducibility of Cardiac Multifrequency MR Elastography in Assessing Left Ventricular Stiffness and Viscosity. Journal of Magnetic Resonance Imaging. 61(5). 2146–2154. 2 indexed citations
5.
Kader, Avan, Lisa C. Adams, Dilyana B. Mangarova, et al.. (2024). Sensitivity of magnetic resonance elastography to extracellular matrix and cell motility in human prostate cancer cell line-derived xenograft models. Biomaterials Advances. 161. 213884–213884. 1 indexed citations
6.
Bergs, Judith, et al.. (2024). The Networking Brain: How Extracellular Matrix, Cellular Networks, and Vasculature Shape the In Vivo Mechanical Properties of the Brain. Advanced Science. 11(31). e2402338–e2402338. 8 indexed citations
7.
Halleck, Fabian, Michael Dürr, Ulrike Grittner, et al.. (2023). Shear Wave Elastography for Assessing Liver Stiffness in HCV-Infected Kidney Transplant Recipients after Direct-Acting Antiviral Treatment: A Comparative Study with Magnetic Resonance Elastography. Journal of Clinical Medicine. 12(24). 7547–7547. 1 indexed citations
8.
Shahryari, Mehrgan, Sarah Keller, David Meierhofer, et al.. (2023). On the relationship between metabolic capacities and in vivo viscoelastic properties of the liver. Frontiers in Bioengineering and Biotechnology. 10. 1042711–1042711. 7 indexed citations
9.
Warmuth, Carsten, Josef Pfeuffer, Mehrgan Shahryari, et al.. (2023). Rapid MR elastography of the liver for subsecond stiffness sampling. Magnetic Resonance in Medicine. 91(1). 312–324. 6 indexed citations
10.
Sauer, Frank, Steffen Grosser, Mehrgan Shahryari, et al.. (2023). Changes in Tissue Fluidity Predict Tumor Aggressiveness In Vivo. Advanced Science. 10(26). e2303523–e2303523. 24 indexed citations
11.
Sack, Ingolf, et al.. (2022). Sexual Dimorphism in Extracellular Matrix Composition and Viscoelasticity of the Healthy and Inflamed Mouse Brain. Biology. 11(2). 230–230. 23 indexed citations
12.
Garcia, Stephan Rodrigo Marticorena, Christian E. Althoff, Michael Dürr, et al.. (2021). Tomoelastography for Longitudinal Monitoring of Viscoelasticity Changes in the Liver and in Renal Allografts after Direct-Acting Antiviral Treatment in 15 Kidney Transplant Recipients with Chronic HCV Infection. Journal of Clinical Medicine. 10(3). 510–510. 8 indexed citations
13.
Streitberger, Kaspar‐Josche, Felix Schrank, Jürgen Braun, et al.. (2019). How tissue fluidity influences brain tumor progression. Proceedings of the National Academy of Sciences. 117(1). 128–134. 126 indexed citations
14.
Shahryari, Mehrgan, Heiko Tzschätzsch, Jing Guo, et al.. (2019). Tomoelastography Distinguishes Noninvasively between Benign and Malignant Liver Lesions. Cancer Research. 79(22). 5704–5710. 74 indexed citations
15.
Duerr, Michael, Eva Schrezenmeier, Lukas Lehner, et al.. (2019). A prospective study of daclatasvir and sofosbuvir in chronic HCV-infected kidney transplant recipients. BMC Nephrology. 20(1). 36–36. 7 indexed citations
16.
Sauer, Frank, Angela Ariza de Schellenberger, Heiko Tzschätzsch, et al.. (2019). Collagen networks determine viscoelastic properties of connective tissues yet do not hinder diffusion of the aqueous solvent. Soft Matter. 15(14). 3055–3064. 53 indexed citations
17.
Tzschätzsch, Heiko, Jing Guo, Anne Bruns, et al.. (2019). US Time-Harmonic Elastography for the Early Detection of Glomerulonephritis. Radiology. 292(3). 676–684. 17 indexed citations
18.
Guo, Jing, David Meierhofer, Charlotte Klein, et al.. (2019). Brain maturation is associated with increasing tissue stiffness and decreasing tissue fluidity. Acta Biomaterialia. 99. 433–442. 68 indexed citations
19.
Tzschätzsch, Heiko, et al.. (2018). In vivo time-harmonic ultrasound elastography of the human brain detects acute cerebral stiffness changes induced by intracranial pressure variations. Scientific Reports. 8(1). 17888–17888. 35 indexed citations
20.
Thomas-Seale, L.E.J., Dieter Klatt, Pankaj Pankaj, et al.. (2011). A Simulation of the Magnetic Resonance Elastography Steady State Wave Response through Idealised Atherosclerotic Plaques. University of Birmingham Research Portal (University of Birmingham). 38(4). 394–400. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026