Ralph Strecker

2.0k total citations
57 papers, 1.5k citations indexed

About

Ralph Strecker is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Ralph Strecker has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 8 papers in Neurology. Recurrent topics in Ralph Strecker's work include Advanced MRI Techniques and Applications (27 papers), MRI in cancer diagnosis (18 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Ralph Strecker is often cited by papers focused on Advanced MRI Techniques and Applications (27 papers), MRI in cancer diagnosis (18 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Ralph Strecker collaborates with scholars based in Germany, Brazil and United States. Ralph Strecker's co-authors include Jürgen Hennig, Sargon Ziyeh, Joachim Klisch, Klaus Scheffler, K. Mross, Clemens Unger, Valerij G. Kiselev, Oliver Speck, Michael Medinger and Jörg Laubenberger and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and Clinical Cancer Research.

In The Last Decade

Ralph Strecker

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ralph Strecker Germany 19 715 505 298 291 206 57 1.5k
Henry Mandeville United Kingdom 19 595 0.8× 655 1.3× 122 0.4× 255 0.9× 206 1.0× 75 1.3k
Andrei Todica Germany 21 840 1.2× 460 0.9× 166 0.6× 384 1.3× 196 1.0× 105 1.5k
Angelika Bischof Delaloye Switzerland 23 1.0k 1.5× 562 1.1× 209 0.7× 400 1.4× 299 1.5× 103 2.0k
Tara Barwick United Kingdom 24 795 1.1× 764 1.5× 175 0.6× 328 1.1× 538 2.6× 90 2.0k
Hisao Tonami Japan 23 1.3k 1.8× 1.1k 2.2× 284 1.0× 276 0.9× 417 2.0× 81 2.5k
Clemens C. Cyran Germany 28 922 1.3× 1.0k 2.1× 238 0.8× 432 1.5× 434 2.1× 126 2.6k
Helmut Dittmann Germany 20 994 1.4× 585 1.2× 143 0.5× 371 1.3× 157 0.8× 84 1.7k
L. Claude France 19 517 0.7× 917 1.8× 267 0.9× 280 1.0× 206 1.0× 105 1.6k
Sze Ting Lee Australia 20 633 0.9× 428 0.8× 128 0.4× 335 1.2× 112 0.5× 69 1.2k
Ryo Toya Japan 18 545 0.8× 264 0.5× 160 0.5× 206 0.7× 251 1.2× 86 1.3k

Countries citing papers authored by Ralph Strecker

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Strecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralph Strecker

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph Strecker. A scholar is included among the top collaborators of Ralph Strecker 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 Ralph Strecker. Ralph Strecker 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
1.
Wilpert, Caroline, Maximilian Frederik Russe, Jakob Weiß, et al.. (2025). Deep Learning Reconstruction Combined With Conventional Acceleration Improves Image Quality of 3 T Brain MRI and Does Not Impact Quantitative Diffusion Metrics. Investigative Radiology. 60(8). 526–534.
2.
Wilpert, Caroline, Hannah Schneider, Alexander Rau, et al.. (2025). Faster Acquisition and Improved Image Quality of T2-Weighted Dixon Breast MRI at 3T Using Deep Learning: A Prospective Study. Korean Journal of Radiology. 26(1). 29–29. 1 indexed citations
3.
4.
Bucher, Andreas, Julia Dietz, Ralph Strecker, et al.. (2024). Value of MRI - T2 Mapping to Differentiate Clinically Significant Prostate Cancer. Journal of Imaging Informatics in Medicine. 37(6). 3304–3315.
5.
Weiland, Elisabeth, Matthias Boschheidgen, T. Ullrich, et al.. (2023). Improved diffusion-weighted imaging of the prostate: Comparison of readout-segmented and zoomed single-shot imaging. Magnetic Resonance Imaging. 98. 55–61. 4 indexed citations
6.
Schimmöller, Lars, Elisabeth Weiland, Tobias Franiel, et al.. (2022). Value of T2 Mapping MRI for Prostate Cancer Detection and Classification. Journal of Magnetic Resonance Imaging. 56(2). 1 indexed citations
7.
Greiser, Andreas, et al.. (2016). Comparison of myocardial T1 and T2 values in 3 T with T2* in 1.5 T in patients with iron overload and controls. International Journal of Hematology. 103(5). 530–536. 13 indexed citations
8.
Döring, Thomas, Fernanda Cristina Rueda Lopes, Tadeu Takao Almodovar Kubo, et al.. (2014). Neuromyelitis Optica: A Diffusional Kurtosis Imaging Study. American Journal of Neuroradiology. 35(12). 2287–2292. 13 indexed citations
9.
10.
Zwick, Stefan, Ralph Strecker, Valerij G. Kiselev, et al.. (2009). Assessment of vascular remodeling under antiangiogenic therapy using DCE‐MRI and vessel size imaging. Journal of Magnetic Resonance Imaging. 29(5). 1125–1133. 50 indexed citations
11.
Zwick, Stefan, Gunnar Brix, Paul S. Tofts, et al.. (2009). Simulation-based comparison of two approaches frequently used for dynamic contrast-enhanced MRI. European Radiology. 20(2). 432–442. 63 indexed citations
12.
Ziyeh, Sargon, et al.. (2005). Dynamic 3D MR Angiography of Intra- and Extracranial Vascular Malformations at 3T: A Technical Note. American Journal of Neuroradiology. 26(3). 630–634. 59 indexed citations
13.
Kiselev, Valerij G., Ralph Strecker, Sargon Ziyeh, Oliver Speck, & Jürgen Hennig. (2005). Vessel size imaging in humans. Magnetic Resonance in Medicine. 53(3). 553–563. 162 indexed citations
14.
Ziyeh, Sargon, Joachim Spreer, Ralph Strecker, et al.. (2004). Parkes Weber or Klippel-Trenaunay syndrome? Non-invasive diagnosis with MR projection angiography. European Radiology. 14(11). 2025–2029. 61 indexed citations
15.
Ziyeh, Sargon, et al.. (2003). Head and neck vascular malformations: time-resolved MR projection angiography. Neuroradiology. 45(10). 681–686. 21 indexed citations
16.
Arnold, Sebastian, Ralph Strecker, Klaus Scheffler, et al.. (2002). Dynamic contrast enhancement of paragangliomas of the head and neck: evaluation with time-resolved 2D MR projection angiography. European Radiology. 13(7). 1608–1611. 37 indexed citations
17.
Strecker, Ralph, Klaus Scheffler, Joachim Klisch, et al.. (2000). Fast functional MRA using time-resolved projection MR angiography with correlation analysis. Magnetic Resonance in Medicine. 43(2). 303–309. 34 indexed citations
18.
Klisch, Joachim, Ralph Strecker, Jürgen Hennig, & Martin Schumacher. (2000). Time-resolved projection MRA: clinical application in intracranial vascular malformations. Neuroradiology. 42(2). 104–107. 52 indexed citations
19.
Markl, Michael, et al.. (1999). Spiral reconstruction by regridding to a large rectilinear matrix: A practical solution for routine systems. Journal of Magnetic Resonance Imaging. 10(1). 84–92. 24 indexed citations
20.
Hennig, Jürgen, Klaus Scheffler, Jörg Laubenberger, & Ralph Strecker. (1997). Time‐resolved projection angiography after bolus injection of contrast agent. Magnetic Resonance in Medicine. 37(3). 341–345. 111 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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