Sylvia Schachoff

673 total citations
14 papers, 491 citations indexed

About

Sylvia Schachoff is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Sylvia Schachoff has authored 14 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Sylvia Schachoff's work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (5 papers). Sylvia Schachoff is often cited by papers focused on Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (5 papers). Sylvia Schachoff collaborates with scholars based in Germany, United States and Australia. Sylvia Schachoff's co-authors include Markus Schwaiger, Sebastian Fürst, Stefan Förster, Daniel B. Chonde, Ciprian Catana, Didier Benoit, Adam E. Hansen, David Izquierdo‐Garcia, Kevin T. Chen and Marcus R. Makowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Sylvia Schachoff

14 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvia Schachoff Germany 8 361 196 73 69 38 14 491
Lisa Zipp United States 11 166 0.5× 99 0.5× 53 0.7× 25 0.4× 47 1.2× 16 340
Saeid Gholami United States 8 182 0.5× 103 0.5× 39 0.5× 39 0.6× 28 0.7× 28 406
Laëtitia Imbert France 15 649 1.8× 90 0.5× 47 0.6× 244 3.5× 78 2.1× 77 788
Tatsuya Nakamura Japan 10 339 0.9× 287 1.5× 28 0.4× 36 0.5× 13 0.3× 17 585
C Schiepers United States 8 211 0.6× 114 0.6× 41 0.6× 52 0.8× 9 0.2× 17 371
Mikael Skorpil Sweden 14 247 0.7× 124 0.6× 138 1.9× 56 0.8× 30 0.8× 39 519
Gorm von Öettingen Denmark 13 126 0.3× 110 0.6× 54 0.7× 63 0.9× 32 0.8× 33 580
Dawn Holley United States 10 229 0.6× 87 0.4× 37 0.5× 35 0.5× 8 0.2× 23 355
Hironori Kamano Japan 14 255 0.7× 100 0.5× 159 2.2× 25 0.4× 14 0.4× 24 576
Florian Siedek Germany 14 188 0.5× 62 0.3× 78 1.1× 153 2.2× 9 0.2× 30 496

Countries citing papers authored by Sylvia Schachoff

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Schachoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Schachoff

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

All Works

14 of 14 papers shown
1.
Schachoff, Sylvia, et al.. (2023). Is there more than meets the eye in PSMA imaging in prostate cancer with PET/MRI? Looking closer at uptake time, correlation with PSA and Gleason score. SHILAP Revista de lepidopterología. 7(1). 8–8. 1 indexed citations
2.
McIntosh, Lachlan, et al.. (2022). Value of PET ECG gating in a cross-validation study of cardiac function assessment by PET/MR imaging. Journal of Nuclear Cardiology. 30(3). 1050–1060. 3 indexed citations
3.
McIntosh, Lachlan, et al.. (2021). PET/MR Technology: Advancement and Challenges. Seminars in Nuclear Medicine. 52(3). 340–355. 13 indexed citations
4.
Gafita, Andrei, Sylvia Schachoff, Hui Wang, et al.. (2021). The added value of PSMA PET/MR radiomics for prostate cancer staging. European Journal of Nuclear Medicine and Molecular Imaging. 49(2). 527–538. 61 indexed citations
5.
Gafita, Andrei, Sylvia Schachoff, Matthias Eiber, et al.. (2020). Almost 10 years of PET/MR attenuation correction: the effect on lesion quantification with PSMA: clinical evaluation on 200 prostate cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 48(2). 543–553. 9 indexed citations
6.
Nekolla, Stephan G., et al.. (2017). Cardiovascular PET/MRI: Technical Considerations and Outlook. Current Cardiovascular Imaging Reports. 10(11). 1 indexed citations
7.
Pfob, Christian H., Sibylle Ziegler, Frank Philipp Graner, et al.. (2016). Biodistribution and radiation dosimetry of 68Ga-PSMA HBED CC—a PSMA specific probe for PET imaging of prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. 43(11). 1962–1970. 66 indexed citations
8.
Izquierdo‐Garcia, David, Kevin T. Chen, Adam E. Hansen, et al.. (2014). New SPM8-based MRAC method for simultaneous PET/MR brain images: comparison with state-of-the-art non-rigid registration methods. EJNMMI Physics. 1(S1). A29–A29. 3 indexed citations
9.
Izquierdo‐Garcia, David, Adam E. Hansen, Stefan Förster, et al.. (2014). An SPM8-Based Approach for Attenuation Correction Combining Segmentation and Nonrigid Template Formation: Application to Simultaneous PET/MR Brain Imaging. Journal of Nuclear Medicine. 55(11). 1825–1830. 163 indexed citations
10.
Makowski, Marcus R., Christian von Bary, Alice Warley, et al.. (2012). Three-Dimensional Imaging of the Aortic Vessel Wall Using an Elastin-Specific Magnetic Resonance Contrast Agent. Investigative Radiology. 47(7). 438–444. 29 indexed citations
11.
Nekolla, Stephan G., Michael Souvatzoglou, Sylvia Schachoff, et al.. (2011). MR/PET Attenuation correction using a multi tissue model for quantification of cardiac uptake: Initial comparison to PET/CT. 52. 440–440. 4 indexed citations
12.
Bary, Christian von, Marcus R. Makowski, Alice Warley, et al.. (2011). MRI of Coronary Wall Remodeling in a Swine Model of Coronary Injury Using an Elastin-Binding Contrast Agent. Circulation Cardiovascular Imaging. 4(2). 147–155. 54 indexed citations
13.
Ibrahim, Tareq, Marcus R. Makowski, David Maintz, et al.. (2009). Serial Contrast-Enhanced Cardiac Magnetic Resonance Imaging Demonstrates Regression of Hyperenhancement Within the Coronary Artery Wall in Patients After Acute Myocardial Infarction. JACC. Cardiovascular imaging. 2(5). 580–588. 80 indexed citations
14.
Stahl, Alexander, Sylvia Schachoff, Ambros J. Beer, et al.. (2006). [111In]DOTATOC as a dosimetric substitute for kidney dosimetry during [90Y]DOTATOC therapy: results and evaluation of a combined gamma camera/probe approach. European Journal of Nuclear Medicine and Molecular Imaging. 33(11). 1328–1336. 4 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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