Sam Sedaghat

581 total citations
38 papers, 346 citations indexed

About

Sam Sedaghat is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Sam Sedaghat has authored 38 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Biomedical Engineering. Recurrent topics in Sam Sedaghat's work include Sarcoma Diagnosis and Treatment (13 papers), Cardiac tumors and thrombi (7 papers) and Vascular Tumors and Angiosarcomas (5 papers). Sam Sedaghat is often cited by papers focused on Sarcoma Diagnosis and Treatment (13 papers), Cardiac tumors and thrombi (7 papers) and Vascular Tumors and Angiosarcomas (5 papers). Sam Sedaghat collaborates with scholars based in Germany, United States and Netherlands. Sam Sedaghat's co-authors include Olav Jansen, Marcus Both, V. Nicolas, Hyungseok Jang, Sebastian Krohn, Hans‐Ulrich Kauczor, Graeme M. Campbell, Arne Streitbürger, Naomi Larsen and Claus‐Christian Glüer and has published in prestigious journals such as Scientific Reports, BMC Cancer and Journal of Neurology.

In The Last Decade

Sam Sedaghat

33 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Sedaghat Germany 11 132 128 111 86 53 38 346
Felix G. Gassert Germany 12 234 1.8× 93 0.7× 56 0.5× 46 0.5× 16 0.3× 38 406
Geoffrey M. Riley United States 11 65 0.5× 68 0.5× 44 0.4× 94 1.1× 35 0.7× 21 411
Yannik Leonhardt Germany 10 151 1.1× 58 0.5× 37 0.3× 33 0.4× 9 0.2× 23 289
Armando Ugo Cavallo Italy 11 163 1.2× 89 0.7× 18 0.2× 28 0.3× 65 1.2× 45 327
Pushpender Gupta United States 9 63 0.5× 110 0.9× 12 0.1× 77 0.9× 41 0.8× 22 319
Tom Boeken France 8 73 0.6× 63 0.5× 52 0.5× 41 0.5× 5 0.1× 30 229
Peter A. Harri United States 10 88 0.7× 45 0.4× 49 0.4× 36 0.4× 8 0.2× 20 316
Pieter De Backer Belgium 11 37 0.3× 180 1.4× 32 0.3× 41 0.5× 37 0.7× 47 408
Griselda Romero-Sánchez Mexico 6 149 1.1× 62 0.5× 12 0.1× 83 1.0× 6 0.1× 16 296
Halit Nahit Şendur Türkiye 11 100 0.8× 52 0.4× 12 0.1× 18 0.2× 13 0.2× 46 328

Countries citing papers authored by Sam Sedaghat

Since Specialization
Citations

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

Fields of papers citing papers by Sam Sedaghat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Sedaghat

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Sedaghat. A scholar is included among the top collaborators of Sam Sedaghat 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 Sam Sedaghat. Sam Sedaghat 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.
Park, Jinil, Sam Sedaghat, Youngkyoo Jung, et al.. (2025). Diffusion Tensor Imaging of Short T 2 Tissues Using Quantitative Ultrashort Echo Time Double‐Echo Steady‐State: A Feasibility Study. NMR in Biomedicine. 39(1). e70184–e70184.
2.
Açil, Yahya, et al.. (2024). In vivo endocultivation of CAD/CAM hybrid scaffolds in the omentum majus in miniature pigs. Journal of Cranio-Maxillofacial Surgery. 52(11). 1259–1266. 1 indexed citations
3.
Sedaghat, Sam. (2024). Plagiarism and Wrong Content as Potential Challenges of Using Chatbots Like ChatGPT in Medical Research. Journal of Academic Ethics. 23(1). 185–188. 8 indexed citations
4.
Sedaghat, Sam, Ioannis Koktzoglou, Robert R. Edelman, et al.. (2024). Non-contrast preoperative MRI for determining renal perfusion and visualizing renal arteries in potential living kidney donors at 1.5 Tesla. Clinical Kidney Journal. 17(6). sfae101–sfae101. 1 indexed citations
5.
6.
Schmitz, Fabian, et al.. (2024). Predicting the Malignancy Grade of Soft Tissue Sarcomas on MRI Using Conventional Image Reading and Radiomics. Diagnostics. 14(19). 2220–2220. 4 indexed citations
7.
Kauczor, Hans‐Ulrich, et al.. (2024). Performance of ChatGPT on basic healthcare leadership and management questions. Health and Technology. 14(6). 1161–1166. 3 indexed citations
8.
Meyer, Carsten, Hyungseok Jang, Olav Jansen, et al.. (2024). AI-based automated detection and stability analysis of traumatic vertebral body fractures on computed tomography. European Journal of Radiology. 173. 111364–111364. 13 indexed citations
9.
Schmitz, Fabian, et al.. (2024). Differentiating low- and high-proliferative soft tissue sarcomas using conventional imaging features and radiomics on MRI. BMC Cancer. 24(1). 1589–1589. 3 indexed citations
10.
Sawall, Stefan, Sam Sedaghat, Hartmut Goldschmidt, et al.. (2024). Detection of myeloma-associated osteolytic bone lesions with energy-integrating and photon-counting detector CT. Die Radiologie. 64(S1). 24–31. 1 indexed citations
11.
Sedaghat, Sam. (2023). Early applications of ChatGPT in medical practice, education and research. Clinical Medicine. 23(3). 278–279. 106 indexed citations
12.
Larsen, Naomi, Friederike Austein, Graeme M. Campbell, et al.. (2023). Spectral cardiac CT in acute stroke patients. Scientific Reports. 13(1). 6781–6781.
13.
Açil, Yahya, et al.. (2023). Bone regeneration in critical-size defects of the mandible using biomechanically adapted CAD/CAM hybrid scaffolds: An in vivo study in miniature pigs. Journal of Cranio-Maxillofacial Surgery. 52(1). 127–135. 2 indexed citations
14.
Jansen, Olav, et al.. (2023). Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition. Diagnostics. 13(17). 2745–2745. 9 indexed citations
15.
16.
Sedaghat, Sam, Hyungseok Jang, Yajun Ma, et al.. (2023). Clinical evaluation of white matter lesions on 3D inversion recovery ultrashort echo time MRI in multiple sclerosis. Quantitative Imaging in Medicine and Surgery. 13(7). 4171–4180. 9 indexed citations
17.
Sedaghat, Sam, et al.. (2021). Configuration of soft-tissue sarcoma on MRI correlates with grade of malignancy. Radiology and Oncology. 55(2). 158–163. 13 indexed citations
18.
Krohn, Sebastian, Jens Frahm, Henning Dathe, et al.. (2020). Biomechanical analysis of temporomandibular joint dynamics based on real-time magnetic resonance imaging.. International journal of computerized dentistry. 23(3). 235–244. 7 indexed citations
19.
Sedaghat, Sam, et al.. (2020). Appearance of recurrent dermatofibrosarcoma protuberans in postoperative MRI follow-up. Journal of Plastic Reconstructive & Aesthetic Surgery. 73(11). 1960–1965. 17 indexed citations
20.
Sedaghat, Sam, et al.. (2020). Appearance of recurrent adult fibrosarcoma of the soft tissue and loco-regional post-treatment changes on MRI follow-up. European Journal of Plastic Surgery. 44(1). 97–102. 8 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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