Christoph Salzlechner

476 total citations
19 papers, 225 citations indexed

About

Christoph Salzlechner is a scholar working on Surgery, Biomedical Engineering and Rheumatology. According to data from OpenAlex, Christoph Salzlechner has authored 19 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Biomedical Engineering and 3 papers in Rheumatology. Recurrent topics in Christoph Salzlechner's work include Total Knee Arthroplasty Outcomes (7 papers), Medical Imaging and Analysis (4 papers) and Bone Tissue Engineering Materials (3 papers). Christoph Salzlechner is often cited by papers focused on Total Knee Arthroplasty Outcomes (7 papers), Medical Imaging and Analysis (4 papers) and Bone Tissue Engineering Materials (3 papers). Christoph Salzlechner collaborates with scholars based in Austria, United Kingdom and Germany. Christoph Salzlechner's co-authors include Eileen Gentleman, Paul T. Sharpe, Rebecca Babb, Lucia K. Zaugg, Delia S. Brauer, Martin A.B. Hedegaard, Dhivya Chandrasekaran, Stefan Nehrer, Tabasom Haghighi and Gerhard Undt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Science and Journal of Dental Research.

In The Last Decade

Christoph Salzlechner

17 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Salzlechner Austria 8 92 65 47 43 40 19 225
Massimiliano Amantea Italy 8 59 0.6× 39 0.6× 53 1.1× 34 0.8× 41 1.0× 14 245
Henrique Rinaldi Matheus Brazil 11 51 0.6× 41 0.6× 39 0.8× 46 1.1× 78 1.9× 33 319
Rintaro Okada Japan 10 123 1.3× 85 1.3× 76 1.6× 32 0.7× 19 0.5× 15 307
Yuko Sai Japan 7 220 2.4× 101 1.6× 47 1.0× 28 0.7× 50 1.3× 10 348
A. Drobyshev Russia 9 69 0.8× 54 0.8× 68 1.4× 11 0.3× 64 1.6× 65 292
George Huang United States 5 36 0.4× 30 0.5× 43 0.9× 26 0.6× 57 1.4× 6 268
Lais Morandini United States 10 155 1.7× 80 1.2× 96 2.0× 24 0.6× 19 0.5× 15 335
Harsh D. Amin United Kingdom 10 82 0.9× 46 0.7× 49 1.0× 97 2.3× 33 0.8× 20 292
Ryuji Sakagami Japan 10 77 0.8× 24 0.4× 91 1.9× 20 0.5× 49 1.2× 29 303
Zdenka Prgomet Sweden 9 128 1.4× 94 1.4× 89 1.9× 20 0.5× 73 1.8× 15 330

Countries citing papers authored by Christoph Salzlechner

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Salzlechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Salzlechner

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

All Works

19 of 19 papers shown
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Spångéus, Anna, et al.. (2025). Breaking the silence: AI’s contribution to detecting vertebral fractures in opportunistic CT scans in the elderly—a validation study. Archives of Osteoporosis. 20(1). 42–42. 2 indexed citations
3.
Salzlechner, Christoph, et al.. (2025). KI-gestützte Erkennung von Wirbelkörperfrakturen in Routine-CTs: Wie künstliche Intelligenz die Diagnoselücke bei Osteoporose reduzieren könnte. Osteologie/Osteology. 34(3). 207–212. 1 indexed citations
4.
Chen, Kenneth, et al.. (2024). DEEP LEARNING-BASED PREDICTION OF MECHANICAL LEG ALIGNMENT USING KNEE X-RAY IMAGES. Osteoarthritis and Cartilage. 32. S75–S75. 1 indexed citations
5.
Stotter, Christoph, et al.. (2024). Frontal plane mechanical leg alignment estimation from knee x-rays using deep learning. SHILAP Revista de lepidopterología. 7(1). 100551–100551. 1 indexed citations
6.
Salzlechner, Christoph, et al.. (2024). Artificial Intelligence in Musculoskeletal Radiographs: Scoliosis, Hip, Limb Length, and Lower Extremity Alignment Measurements. Seminars in Roentgenology. 59(4). 510–517. 2 indexed citations
7.
Ferreira, Sílvia A., Francesca Tallia, Simone A. Walker, et al.. (2024). 3D printed hybrid scaffolds do not induce adverse inflammation in mice and direct human BM-MSC chondrogenesis in vitro. SHILAP Revista de lepidopterología. 13. 100087–100087. 2 indexed citations
8.
Chen, Kenneth, Allan Hummer, Christoph Stotter, et al.. (2024). FULLY AUTOMATED MEASUREMENT OF COBB ANGLES IN CORONAL PLANE SPINE RADIOGRAPHS. Osteoarthritis and Cartilage. 32. S78–S79. 1 indexed citations
9.
Stotter, Christoph, Thomas Klestil, Kenneth Chen, et al.. (2023). Artificial intelligence‐based analyses of varus leg alignment and after high tibial osteotomy show high accuracy and reproducibility. Knee Surgery Sports Traumatology Arthroscopy. 31(12). 5885–5895. 14 indexed citations
10.
Neubauer, Markus, Lukas B. Moser, Johannes Neugebauer, et al.. (2023). Artificial-Intelligence-Aided Radiographic Diagnostic of Knee Osteoarthritis Leads to a Higher Association of Clinical Findings with Diagnostic Ratings. Journal of Clinical Medicine. 12(3). 744–744. 15 indexed citations
11.
Stotter, Christoph, Thomas Klestil, Christoph Röder, et al.. (2023). Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip. Diagnostics. 13(3). 497–497. 12 indexed citations
12.
13.
Jansen, Mylène P., Christoph Salzlechner, Eleanor Barnes, et al.. (2022). Artificial intelligence in osteoarthritis: repair by knee joint distraction shows association of pain, radiographic and immunological outcomes. Lara D. Veeken. 62(8). 2789–2796. 6 indexed citations
14.
Salzlechner, Christoph, et al.. (2021). GSK3 Inhibitor-Induced Dentinogenesis Using a Hydrogel. Journal of Dental Research. 101(1). 46–53. 26 indexed citations
15.
Salzlechner, Christoph, Tabasom Haghighi, Alexander Gardner, et al.. (2020). Adhesive Hydrogels for Maxillofacial Tissue Regeneration Using Minimally Invasive Procedures. Advanced Healthcare Materials. 9(4). e1901134–e1901134. 37 indexed citations
16.
Salzlechner, Christoph, Tabasom Haghighi, Gerhard Undt, et al.. (2020). Complementary techniques to analyse pericellular matrix formation by human MSC within hyaluronic acid hydrogels. Materials Advances. 1(8). 2888–2896. 5 indexed citations
17.
Zaugg, Lucia K., Dhivya Chandrasekaran, Rebecca Babb, et al.. (2020). Translation Approach for Dentine Regeneration Using GSK-3 Antagonists. Journal of Dental Research. 99(5). 544–551. 46 indexed citations
18.
Salzlechner, Christoph, Allison R. Najafi, Ming Lim, et al.. (2019). Combined Anti-inflammatory and Neuroprotective Treatments Have the Potential to Impact Disease Phenotypes in Cln3−/− Mice. Frontiers in Neurology. 10. 963–963. 15 indexed citations
19.
Babb, Rebecca, et al.. (2017). Optimisation of lithium-substituted bioactive glasses to tailor cell response for hard tissue repair. Journal of Materials Science. 52(15). 8832–8844. 39 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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