Yannik Leonhardt

464 total citations
23 papers, 289 citations indexed

About

Yannik Leonhardt is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Orthopedics and Sports Medicine. According to data from OpenAlex, Yannik Leonhardt has authored 23 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Yannik Leonhardt's work include Bone health and osteoporosis research (6 papers), Hip and Femur Fractures (5 papers) and Advanced X-ray and CT Imaging (5 papers). Yannik Leonhardt is often cited by papers focused on Bone health and osteoporosis research (6 papers), Hip and Femur Fractures (5 papers) and Advanced X-ray and CT Imaging (5 papers). Yannik Leonhardt collaborates with scholars based in Germany, United States and Switzerland. Yannik Leonhardt's co-authors include Alexandra S. Gersing, Marcus R. Makowski, Florian T. Gassert, Benedikt J. Schwaiger, Klaus Woertler, Felix G. Gassert, Dimitrios C. Karampinos, Carolin Knebel, Sarah C. Foreman and Claudio E. von Schacky and has published in prestigious journals such as Radiology, Medical Physics and Osteoporosis International.

In The Last Decade

Yannik Leonhardt

20 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yannik Leonhardt Germany	10	151	88	77	70	58	23	289
Felix G. Gassert Germany	12	234 1.5×	129 1.5×	59 0.8×	52 0.7×	93 1.6×	38	406
Mateusz C. Florkow Netherlands	9	239 1.6×	132 1.5×	106 1.4×	28 0.4×	45 0.8×	12	427
Huaiyu Wu China	10	101 0.7×	41 0.5×	71 0.9×	27 0.4×	33 0.6×	32	252
Dongjun Choi South Korea	9	78 0.5×	50 0.6×	109 1.4×	23 0.3×	23 0.4×	14	323
Bao H. United States	10	151 1.0×	122 1.4×	174 2.3×	51 0.7×	25 0.4×	13	363
Claudio E. von Schacky Germany	10	211 1.4×	147 1.7×	78 1.0×	17 0.2×	68 1.2×	22	362
Youngjune Kim South Korea	9	62 0.4×	50 0.6×	117 1.5×	39 0.6×	33 0.6×	23	271
Silvana Sdao Italy	9	136 0.9×	67 0.8×	120 1.6×	17 0.2×	22 0.4×	15	280
Mischa Woisetschläger Sweden	10	289 1.9×	260 3.0×	45 0.6×	54 0.8×	31 0.5×	31	422
Leon D. Gruenewald Germany	10	158 1.0×	196 2.2×	75 1.0×	43 0.6×	25 0.4×	50	294

Countries citing papers authored by Yannik Leonhardt

Since Specialization

Citations

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

Fields of papers citing papers by Yannik Leonhardt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannik Leonhardt

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

All Works

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20 of 20 papers shown

Vosshenrich, Jan, Mary Bruno, Tatiane Cantarelli Rodrigues, et al.. (2025). Arthroscopy-validated Diagnostic Performance of 7-Minute Five-Sequence Deep Learning Super-Resolution 3-T Shoulder MRI. Radiology. 314(2). e241351–e241351. 2 indexed citations

Mostapha, Mahmoud, Gregor Koerzdoerfer, Esther Raithel, et al.. (2025). An end‐to‐end deep learning method for reconstructing SMS‐PI accelerated musculoskeletal MRI. Medical Physics. 52(12). e70178–e70178.

Sauter, Andreas, et al.. (2025). Ultra-Low-Dose CTPA Using Sparse Sampling CT Combined with the U-Net for Deep Learning-Based Artifact Reduction: An Exploratory Study. Journal of Imaging Informatics in Medicine.

Feuerriegel, Georg C., Kilian Weiss, Anh T. Van, et al.. (2023). Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury. European Journal of Radiology. 170. 111246–111246. 10 indexed citations

Feuerriegel, Georg C., Sophia Kronthaler, Kilian Weiss, et al.. (2023). Assessment of glenoid bone loss and other osseous shoulder pathologies comparing MR-based CT-like images with conventional CT. European Radiology. 33(12). 8617–8626. 12 indexed citations

Willer, Konstantin, Wolfgang Noichl, Theresa Urban, et al.. (2023). X-ray dark-field chest radiography: a reader study to evaluate the diagnostic quality of attenuation chest X-rays from a dual-contrast scanning prototype. European Radiology. 33(8). 5549–5556. 4 indexed citations

Feuerriegel, Georg C., Egon Burian, Nico Sollmann, et al.. (2023). Evaluation of 3D MRI for early detection of bone edema associated with apical periodontitis. Clinical Oral Investigations. 27(9). 5403–5412. 4 indexed citations

Feuerriegel, Georg C., Kilian Weiss, Sophia Kronthaler, et al.. (2023). Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain. European Radiology. 33(7). 4875–4884. 17 indexed citations

Feuerriegel, Georg C., Yannik Leonhardt, Florian T. Gassert, et al.. (2022). Assessment of Acute Lesions of the Biceps Pulley in Patients with Traumatic Shoulder Dislocation Using MR Imaging. Diagnostics. 12(10). 2345–2345. 4 indexed citations

10.

Gassert, Florian T., Felix G. Gassert, Yannik Leonhardt, et al.. (2022). Associations between Bone Mineral Density and Longitudinal Changes of Vertebral Bone Marrow and Paraspinal Muscle Composition Assessed Using MR-Based Proton Density Fat Fraction and T2* Maps in Patients with and without Osteoporosis. Diagnostics. 12(10). 2467–2467. 9 indexed citations

11.

Feuerriegel, Georg C., Sophia Kronthaler, Yannik Leonhardt, et al.. (2022). Diagnostic value of water-fat-separated images and CT-like susceptibility-weighted images extracted from a single ultrashort echo time sequence for the evaluation of vertebral fractures and degenerative changes of the spine. European Radiology. 33(2). 1445–1455. 6 indexed citations

12.

Feuerriegel, Georg C., Lucas M. Ritschl, Nico Sollmann, et al.. (2022). Imaging of traumatic mandibular fractures in young adults using CT-like MRI: a feasibility study. Clinical Oral Investigations. 27(3). 1227–1233. 10 indexed citations

13.

Leonhardt, Yannik, Stefan Ruschke, Florian T. Gassert, et al.. (2022). Associations of incidental vertebral fractures and longitudinal changes of MR–based proton density fat fraction and T2* measurements of vertebral bone marrow. Frontiers in Endocrinology. 13. 1046547–1046547. 5 indexed citations

14.

Feuerriegel, Georg C., Felix K. Kopp, Daniela Pfeiffer, et al.. (2022). Evaluation of MR-derived simulated CT-like images and simulated radiographs compared to conventional radiography in patients with shoulder pain: a proof-of-concept study. BMC Musculoskeletal Disorders. 23(1). 122–122. 4 indexed citations

15.

Schacky, Claudio E. von, Yannik Leonhardt, Matthias Jung, et al.. (2022). Development and evaluation of machine learning models based on X-ray radiomics for the classification and differentiation of malignant and benign bone tumors. European Radiology. 32(9). 6247–6257. 29 indexed citations

16.

Schacky, Claudio E. von, Yannik Leonhardt, Felix G. Gassert, et al.. (2021). Multitask Deep Learning for Segmentation and Classification of Primary Bone Tumors on Radiographs. Radiology. 301(2). 398–406. 77 indexed citations

17.

Peeken, Jan C., Jan Neumann, Yannik Leonhardt, et al.. (2021). Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics. Cancers. 13(8). 1929–1929. 30 indexed citations

18.

Gassert, Florian T., Felix G. Gassert, Yannik Leonhardt, et al.. (2021). MR-based proton density fat fraction (PDFF) of the vertebral bone marrow differentiates between patients with and without osteoporotic vertebral fractures. Osteoporosis International. 33(2). 487–496. 20 indexed citations

19.

Kopp, Felix K., F Harder, Yannik Leonhardt, et al.. (2021). Sparse-sampling computed tomography for detection of endoleak after endovascular aortic repair (EVAR). European Journal of Radiology. 142. 109843–109843. 3 indexed citations

20.

Leonhardt, Yannik, P May, Claus Zimmer, et al.. (2020). Opportunistic QCT Bone Mineral Density Measurements Predicting Osteoporotic Fractures: A Use Case in a Prospective Clinical Cohort. Frontiers in Endocrinology. 11. 586352–586352. 19 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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