Fritz Schick

26.0k total citations · 8 hit papers
498 papers, 19.4k citations indexed

About

Fritz Schick is a scholar working on Radiology, Nuclear Medicine and Imaging, Physiology and Epidemiology. According to data from OpenAlex, Fritz Schick has authored 498 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 284 papers in Radiology, Nuclear Medicine and Imaging, 96 papers in Physiology and 93 papers in Epidemiology. Recurrent topics in Fritz Schick's work include Advanced MRI Techniques and Applications (245 papers), MRI in cancer diagnosis (87 papers) and Adipose Tissue and Metabolism (64 papers). Fritz Schick is often cited by papers focused on Advanced MRI Techniques and Applications (245 papers), MRI in cancer diagnosis (87 papers) and Adipose Tissue and Metabolism (64 papers). Fritz Schick collaborates with scholars based in Germany, United States and Switzerland. Fritz Schick's co-authors include Jürgen Machann, Norbert Stefan, Hans‐Ulrich Häring, Claus D. Claussen, Andreas Fritsche, Petros Martirosian, Harald Staiger, Claus Thamer, Fausto Machicao and Nina F. Schwenzer and has published in prestigious journals such as Nature Medicine, PLoS ONE and NeuroImage.

In The Last Decade

Fritz Schick

486 papers receiving 19.1k citations

Hit Papers

Non-invasive assessment a... 1999 2026 2008 2017 2009 2024 1999 1999 2017 200 400 600
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.

  1. Non-invasive assessment and quantification of liver steatosis by ultrasound, computed tomography and magnetic resonance
    2009 603 citations Norbert Stefan, Jürgen Machann et al. profile →
  2. EASL–EASD–EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD)
    2024 585 citations Fritz Schick et al. profile →
  3. Measurement of intracellular triglyceride stores by H spectroscopy: validation in vivo
    1999 583 citations Lidia S. Szczepaniak, Fritz Schick et al. profile →
  4. Association of increased intramyocellular lipid content with insulin resistance in lean nondiabetic offspring of type 2 diabetic subjects.
    1999 520 citations Jürgen Machann, Fritz Schick et al. profile →
  5. Causes, Characteristics, and Consequences of Metabolically Unhealthy Normal Weight in Humans
    2017 386 citations Norbert Stefan, Fritz Schick et al. Cell Metabolism profile →
  6. Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes
    2021 210 citations Róbert Wágner, Martin Heni et al. profile →
  7. The role of hepatokines in NAFLD
    2023 176 citations Norbert Stefan, Fritz Schick et al. Cell Metabolism profile →
  8. EASL–EASD–EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD): Executive Summary
    2024 47 citations Fritz Schick et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Fritz Schick 5.9k 5.8k 5.4k 3.2k 3.1k 498 19.4k
Pirjo Nuutila 3.7k 0.6× 6.1k 1.1× 12.2k 2.3× 3.4k 1.1× 4.5k 1.5× 458 25.1k
Franz Fazekas 8.4k 1.4× 6.8k 1.2× 3.4k 0.6× 1.0k 0.3× 3.2k 1.0× 509 34.1k
Georg Ertl 3.3k 0.6× 2.4k 0.4× 3.8k 0.7× 1.8k 0.6× 5.2k 1.7× 518 21.5k
Juhani Knuuti 9.6k 1.6× 2.0k 0.4× 3.4k 0.6× 1.7k 0.5× 3.1k 1.0× 675 22.2k
Graham J. Kemp 3.0k 0.5× 1.9k 0.3× 2.6k 0.5× 942 0.3× 2.8k 0.9× 424 15.2k
Jeffrey S. Ross 1.7k 0.3× 6.9k 1.2× 5.2k 1.0× 1.2k 0.4× 3.8k 1.2× 379 25.1k
Richard J. Traystman 2.6k 0.4× 2.1k 0.4× 2.4k 0.4× 1.8k 0.6× 4.9k 1.6× 467 20.3k
Masatsugu Hori 3.9k 0.7× 4.0k 0.7× 3.0k 0.5× 2.2k 0.7× 10.7k 3.5× 537 33.2k
Éric Vicaut 2.4k 0.4× 5.8k 1.0× 2.9k 0.5× 1.3k 0.4× 2.0k 0.7× 608 27.2k
Malte Kelm 2.1k 0.4× 2.0k 0.3× 7.5k 1.4× 1.2k 0.4× 3.8k 1.2× 829 25.0k

Countries citing papers authored by Fritz Schick

Since Specialization
Citations

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

Fields of papers citing papers by Fritz Schick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fritz Schick

This figure shows the co-authorship network connecting the top 25 collaborators of Fritz Schick. A scholar is included among the top collaborators of Fritz Schick 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 Fritz Schick. Fritz Schick 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
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Boeke, Simon, Fritz Schick, Konstantin Nikolaou, et al.. (2025). Longitudinal assessment of diffusion-weighted imaging during magnetic resonance-guided radiotherapy in head and neck cancer. Radiation Oncology. 20(1). 15–15. 1 indexed citations
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Boeke, Simon, Konstantin Nikolaou, Fritz Schick, et al.. (2023). Reproducibility of diffusion-weighted magnetic resonance imaging in head and neck cancer assessed on a 1.5 T MR-Linac and comparison to parallel measurements on a 3 T diagnostic scanner. Radiotherapy and Oncology. 191. 110046–110046. 4 indexed citations
6.
Stefan, Norbert, Fritz Schick, Andreas L. Birkenfeld, Hans‐Ulrich Häring, & Morris F. White. (2023). The role of hepatokines in NAFLD. Cell Metabolism. 35(2). 236–252. 176 indexed citations breakdown →
7.
Fischer, Marc, Sofia Pappa, Thoralf Niendorf, et al.. (2023). Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study. BMC Medical Imaging. 23(1). 104–104. 2 indexed citations
8.
Machann, Jürgen, Róbert Wágner, Andreas L. Birkenfeld, et al.. (2022). Short‐Term Variability of Proton Density Fat Fraction in Pancreas and Liver Assessed by Multiecho Chemical‐Shift Encoding‐Based MRI at 3 T. Journal of Magnetic Resonance Imaging. 56(4). 1018–1026. 6 indexed citations
9.
Fischer, Marc, Sven S. Walter, Tobias Hepp, et al.. (2021). Automated Morphometric Analysis of the Hip Joint on MRI from the German National Cohort Study. Radiology Artificial Intelligence. 3(5). e200213–e200213. 5 indexed citations
10.
Hoffmann, Christoph, Patrick Schneeweiß, Elko Randrianarisoa, et al.. (2020). Response of Mitochondrial Respiration in Adipose Tissue and Muscle to 8 Weeks of Endurance Exercise in Obese Subjects. The Journal of Clinical Endocrinology & Metabolism. 105(11). e4023–e4037. 24 indexed citations
11.
Krššák, Martin, Lucas Lindeboom, Vera B. Schrauwen‐Hinderling, et al.. (2020). Proton magnetic resonance spectroscopy in skeletal muscle: Experts' consensus recommendations. NMR in Biomedicine. 34(5). e4266–e4266. 55 indexed citations
12.
Steidle, Günter & Fritz Schick. (2020). A new concept for improved quantitative analysis of reversible transverse relaxation in tissues with variable microscopic field distribution. Magnetic Resonance in Medicine. 85(3). 1493–1506. 4 indexed citations
13.
Wágner, Róbert, Benjamin Assad Jaghutriz, Felicia Gerst, et al.. (2020). Pancreatic Steatosis Associates With Impaired Insulin Secretion in Genetically Predisposed Individuals. The Journal of Clinical Endocrinology & Metabolism. 105(11). 3518–3525. 41 indexed citations
14.
Küstner, Thomas, et al.. (2019). Retrospective correction of motion‐affected MR images using deep learning frameworks. Magnetic Resonance in Medicine. 82(4). 1527–1540. 80 indexed citations
15.
Wágner, Róbert, Jürgen Machann, Martina Guthoff, et al.. (2017). The protective effect of human renal sinus fat on glomerular cells is reversed by the hepatokine fetuin-A. Scientific Reports. 7(1). 2261–2261. 18 indexed citations
16.
Schwartz, Martin, Petros Martirosian, Günter Steidle, et al.. (2017). Feasibility of real-time surface electromyographytriggered diffusion-weighted imaging for prospective imaging of spontaneous unintentional focal muscular motion in human calf musculature. Magnetic Resonance Materials in Physics Biology and Medicine. 2 indexed citations
17.
Schick, Fritz. (2013). Bildkontraste bei statischen Aufnahmen in der klinischen Magnetresonanztomographie: Teil 2: Sequenzen für verschiedene Kontraste und Anwendungen. Der Radiologe. 53(8). 709–722. 1 indexed citations
18.
Schick, Fritz, Jürgen Machann, Andreas Boss, et al.. (2006). Magnetic Resonance Techniques for Assessment of Body Components. Hormone Research in Paediatrics. 66(Suppl. 1). 65–72. 3 indexed citations
19.
Schick, Fritz, et al.. (1995). Relaxation of AB Spin Systems in Stimulated-Echo Spectroscopy. Journal of Magnetic Resonance Series B. 109(3). 251–258. 11 indexed citations
20.
Bongers, H., et al.. (1992). Localized in vivo 1H spectroscopy of human skeletal muscle: Normal and pathologic findings. Magnetic Resonance Imaging. 10(6). 957–964. 29 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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