Gunnar Schütz

1.5k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Gunnar Schütz is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Gunnar Schütz has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Materials Chemistry. Recurrent topics in Gunnar Schütz's work include Advanced MRI Techniques and Applications (6 papers), Lanthanide and Transition Metal Complexes (5 papers) and MRI in cancer diagnosis (5 papers). Gunnar Schütz is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Lanthanide and Transition Metal Complexes (5 papers) and MRI in cancer diagnosis (5 papers). Gunnar Schütz collaborates with scholars based in Germany, United States and United Kingdom. Gunnar Schütz's co-authors include Christopher A. Carter, Jacques Dumas, Lila Adnane, Dieter Zopf, Scott M. Wilhelm, Karl‐Heinz Thierauch, Mark Lynch, Hubertus Pietsch, Jessica Lohrke and Frank Wiekhorst and has published in prestigious journals such as Nature Reviews Drug Discovery, Scientific Reports and Magnetic Resonance in Medicine.

In The Last Decade

Gunnar Schütz

14 papers receiving 1.2k citations

Hit Papers

Regorafenib (BAY 73‐4506): A new oral multikinase inhibit... 2010 2026 2015 2020 2010 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gunnar Schütz Germany 9 530 353 333 300 221 15 1.2k
Annette Frost Germany 14 747 1.4× 462 1.3× 493 1.5× 207 0.7× 226 1.0× 29 1.4k
Haitian Quan China 17 662 1.2× 492 1.4× 383 1.2× 111 0.4× 136 0.6× 30 1.3k
Marine Gilabert France 22 910 1.7× 395 1.1× 422 1.3× 485 1.6× 231 1.0× 73 1.8k
Dana T. Aftab United States 20 882 1.7× 803 2.3× 574 1.7× 202 0.7× 173 0.8× 45 1.8k
J. Rafael Sierra United States 11 364 0.7× 582 1.6× 249 0.7× 222 0.7× 131 0.6× 18 1.1k
Simone Steinbild Germany 12 488 0.9× 353 1.0× 263 0.8× 112 0.4× 81 0.4× 19 863
Roberto Carmagnani Pestana United States 17 547 1.0× 217 0.6× 279 0.8× 200 0.7× 125 0.6× 52 1.1k
Kristen K. Ciombor United States 21 1.2k 2.2× 458 1.3× 383 1.2× 130 0.4× 288 1.3× 90 1.7k
Xiang Hu China 21 474 0.9× 230 0.7× 302 0.9× 57 0.2× 64 0.3× 62 979
Jessica Orf United States 7 507 1.0× 545 1.5× 437 1.3× 243 0.8× 205 0.9× 9 1.3k

Countries citing papers authored by Gunnar Schütz

Since Specialization
Citations

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

Fields of papers citing papers by Gunnar Schütz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunnar Schütz

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

All Works

15 of 15 papers shown
1.
Chibout, Salah‐Dine, Dominique Brees, Loïc Laplanche, et al.. (2025). Innovative Medicines Initiative public–private partnerships to enhance translational safety. Nature Reviews Drug Discovery. 24(10). 727–728. 1 indexed citations
2.
Hines, Catherine D. G., Iina Laitinen, Paul Hockings, et al.. (2024). Assessment of hepatic transporter function in rats using dynamic gadoxetate-enhanced MRI: a reproducibility study. Magnetic Resonance Materials in Physics Biology and Medicine. 37(4). 697–708. 1 indexed citations
3.
Scotcher, Daniel, Nicola Melillo, Adam S. Darwich, et al.. (2021). Physiologically Based Pharmacokinetic Modeling of Transporter-Mediated Hepatic Disposition of Imaging Biomarker Gadoxetate in Rats. Molecular Pharmaceutics. 18(8). 2997–3009. 8 indexed citations
4.
Boyken, Janina, Fabio Canneva, Jakob Admard, et al.. (2020). Comprehensive phenotyping revealed transient startle response reduction and histopathological gadolinium localization to perineuronal nets after gadodiamide administration in rats. Scientific Reports. 10(1). 22385–22385. 18 indexed citations
5.
Sourbron, Steven, et al.. (2020). Ex vivo gadoxetate relaxivities in rat liver tissue and blood at five magnetic field strengths from 1.41 to 7 T. NMR in Biomedicine. 34(1). e4401–e4401. 9 indexed citations
6.
Löwa, Norbert, et al.. (2018). Optimization of Iron Oxide Tracer Synthesis for Magnetic Particle Imaging. Nanomaterials. 8(4). 180–180. 26 indexed citations
7.
Boyken, Janina, Thomas Frenzel, Jessica Lohrke, et al.. (2018). Impact of Treatment With Chelating Agents Depends on the Stability of Administered GBCAs. Investigative Radiology. 54(2). 76–82. 16 indexed citations
8.
Malzahn, Kerstin, Manfred Wagner, Gunnar Schütz, et al.. (2015). Design and Control of Nanoconfinement to Achieve Magnetic Resonance Contrast Agents with High Relaxivity. Advanced Healthcare Materials. 5(5). 567–574. 20 indexed citations
9.
Schütz, Gunnar, Jessica Lohrke, & Hubertus Pietsch. (2014). Lymph node staging using dedicated magnetic resonance contrast agents—the accumulation mechanism revisited. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 7(2). 238–249. 9 indexed citations
10.
Scholle, Frank-Detlef, et al.. (2013). Dynamic gadobutrol-enhanced MRI predicts early response to antivascular but not to antiproliferation therapy in a mouse xenograft model. Magnetic Resonance in Medicine. 71(5). 1826–1833. 5 indexed citations
11.
Harms, Christoph, Frank Wiekhorst, Lutz Trahms, et al.. (2013). Certain Types of Iron Oxide Nanoparticles are Not Suited to Passively Target Inflammatory Cells that Infiltrate the Brain in Response to Stroke. Journal of Cerebral Blood Flow & Metabolism. 33(5). e1–e9. 26 indexed citations
12.
Lohrke, Jessica, et al.. (2012). Current Limitations of Molecular Magnetic Resonance Imaging for Tumors as Evaluated With High-Relaxivity CD105-Specific Iron Oxide Nanoparticles. Investigative Radiology. 47(7). 383–391. 24 indexed citations
13.
Wilhelm, Scott M., Jacques Dumas, Lila Adnane, et al.. (2010). Regorafenib (BAY 73‐4506): A new oral multikinase inhibitor of angiogenic, stromal and oncogenic receptor tyrosine kinases with potent preclinical antitumor activity. International Journal of Cancer. 129(1). 245–255. 1025 indexed citations breakdown →
14.
Schütz, Gunnar, Jessica Lohrke, & Joachim Hütter. (2010). USE OF RESOVIST IN MAGNETIC PARTICLE IMAGING. 32–36. 2 indexed citations
15.
Wilhelm, Scott M., Jalila Adnane, Mark Lynch, et al.. (2009). Abstract B4: Regorafenib: a new oral multikinase inhibitor of angiogenic, stromal and oncogenic (receptor tyrosine) kinases with potent preclinical antitumor activity. Molecular Cancer Therapeutics. 8(12_Supplement). B4–B4. 2 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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