Simone Schenke

824 total citations
37 papers, 536 citations indexed

About

Simone Schenke is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Simone Schenke has authored 37 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Surgery. Recurrent topics in Simone Schenke's work include Thyroid Cancer Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Head and Neck Anomalies (8 papers). Simone Schenke is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Head and Neck Anomalies (8 papers). Simone Schenke collaborates with scholars based in Germany, Switzerland and Italy. Simone Schenke's co-authors include G. Heimann, J. Silny, Tobias G. Wenzl, Thomas Peschgens, H. Skopnik, Michael Zimny, Michael C. Kreißl, Rainer Görges, Philipp Seifert and R. Klett and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Nuclear Medicine.

In The Last Decade

Simone Schenke

33 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Schenke Germany 10 279 234 229 140 78 37 536
Mohamed Abdalla Salman Egypt 13 285 1.0× 59 0.3× 32 0.1× 14 0.1× 57 0.7× 52 436
G Grassi Italy 10 195 0.7× 16 0.1× 46 0.2× 47 0.3× 63 0.8× 47 354
Yansong Zheng China 8 53 0.2× 27 0.1× 27 0.1× 23 0.2× 93 1.2× 29 307
Akiko Umezawa Japan 14 495 1.8× 38 0.2× 49 0.2× 8 0.1× 270 3.5× 24 531
Norio Nagase Japan 19 168 0.6× 43 0.2× 19 0.1× 428 3.1× 128 1.6× 35 994
Péter Halvax France 10 249 0.9× 13 0.1× 49 0.2× 60 0.4× 136 1.7× 18 368
Kenan Demır Türkiye 13 72 0.3× 24 0.1× 9 0.0× 58 0.4× 24 0.3× 40 322
Tien‐Chou Soong Taiwan 8 177 0.6× 10 0.0× 27 0.1× 42 0.3× 67 0.9× 22 271
Thierry V. Scohy Netherlands 12 145 0.5× 66 0.3× 5 0.0× 21 0.1× 106 1.4× 36 356
Alessandro Bina Italy 5 150 0.5× 131 0.6× 2 0.0× 205 1.5× 23 0.3× 6 430

Countries citing papers authored by Simone Schenke

Since Specialization
Citations

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

Fields of papers citing papers by Simone Schenke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Schenke

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Schenke. A scholar is included among the top collaborators of Simone Schenke 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 Simone Schenke. Simone Schenke 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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Schenke, Simone, Franziska Veit, Rainer Görges, et al.. (2024). Thyroid Imaging Reporting and Data Systems: Applicability of the “Taller than Wide” Criterium in Primary/Secondary Care Units and the Role of Thyroid Scintigraphy. Journal of Clinical Medicine. 13(2). 514–514. 1 indexed citations
4.
Schenke, Simone, Rainer Görges, Verena Ruhlmann, et al.. (2024). Interobserver Agreement in Ultrasound Risk Stratification Systems for Thyroid Nodules on Static Images Versus Cine-Loop Video Sequences. Diagnostics. 14(19). 2138–2138. 2 indexed citations
5.
Giovanella, Luca, Lisa Milan, Wolfgang Roll, et al.. (2023). Postoperative thyroglobulin as a yard-stick for radioiodine therapy: decision tree analysis in a European multicenter series of 1317 patients with differentiated thyroid cancer. European Journal of Nuclear Medicine and Molecular Imaging. 50(9). 2767–2774. 7 indexed citations
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Schenke, Simone, Philipp Seifert, Alexander Stahl, et al.. (2023). Correct and Incorrect Recommendations for or against Fine Needle Biopsies of Hypofunctioning Thyroid Nodules: Performance of Different Ultrasound-based Risk Stratification Systems. Nuklearmedizin - NuclearMedicine. 63(1). 21–33. 1 indexed citations
8.
Schenke, Simone, Alfredo Campennì, Murat Tuncel, et al.. (2022). Diagnostic Performance of 99mTc-Methoxy-Isobuty-Isonitrile (MIBI) for Risk Stratification of Hypofunctioning Thyroid Nodules: A European Multicenter Study. Diagnostics. 12(6). 1358–1358. 5 indexed citations
9.
Schenke, Simone, Michael Zimny, Rainer Görges, et al.. (2022). Introducing a Pole Concept for Nodule Growth in the Thyroid Gland: Taller-than-Wide Shape, Frequency, Location and Risk of Malignancy of Thyroid Nodules in an Area with Iodine Deficiency. Journal of Clinical Medicine. 11(9). 2549–2549. 3 indexed citations
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Schenke, Simone, Rainer Görges, Philipp Seifert, Michael Zimny, & Michael C. Kreißl. (2021). Update on diagnosis and treatment of hyperthyroidism: ultrasonography and functional imaging. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 65(2). 102–112. 2 indexed citations
12.
Illanes, Alfredo, et al.. (2020). Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features. Sensors. 20(21). 6110–6110. 28 indexed citations
13.
Seifert, Philipp, Rainer Görges, Michael Zimny, Michael C. Kreißl, & Simone Schenke. (2019). Interobserver agreement and efficacy of consensus reading in Kwak-, EU-, and ACR-thyroid imaging recording and data systems and ATA guidelines for the ultrasound risk stratification of thyroid nodules. Endocrine. 67(1). 143–154. 36 indexed citations
14.
Schenke, Simone & Michael Zimny. (2018). Combination of Sonoelastography and TIRADS for the Diagnostic Assessment of Thyroid Nodules. Ultrasound in Medicine & Biology. 44(3). 575–583. 14 indexed citations
15.
Schenke, Simone, Philipp Seifert, Michael Zimny, et al.. (2018). Risk Stratification of Thyroid Nodules Using the Thyroid Imaging Reporting and Data System (TIRADS): The Omission of Thyroid Scintigraphy Increases the Rate of Falsely Suspected Lesions. Journal of Nuclear Medicine. 60(3). 342–347. 44 indexed citations
16.
Zimny, Michael, et al.. (2014). 99mTc-MIBI-Szintigraphie hypo funktioneller Schilddrüsenknoten. Nuklearmedizin - NuclearMedicine. 53(3). 105–110. 13 indexed citations
17.
Klett, R., et al.. (2013). Thyroiditis de Quervain. Nuklearmedizin - NuclearMedicine. 52(4). 137–140. 9 indexed citations
18.
Wenzl, Tobias G., Simone Schenke, Thomas Peschgens, et al.. (2001). Association of apnea and nonacid gastroesophageal reflux in infants: Investigations with the intraluminal impedance technique. Pediatric Pulmonology. 31(2). 144–149. 137 indexed citations
19.
Wenzl, Tobias G., J. Silny, Simone Schenke, et al.. (1999). Gastroesophageal Reflux and Respiratory Phenomena in Infants: Status of the Intraluminal Impedance Technique. Journal of Pediatric Gastroenterology and Nutrition. 28(4). 423–428. 102 indexed citations
20.
Wenzl, Tobias G., J. Silny, Simone Schenke, et al.. (1999). Gastroesophageal Reflux and Respiratory Phenomena in Infants: Status of the Intraluminal Impedance Technique. Journal of Pediatric Gastroenterology and Nutrition. 28(4). 423–428. 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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