Søren Hess

2.5k total citations · 1 hit paper
123 papers, 1.7k citations indexed

About

Søren Hess is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Søren Hess has authored 123 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Surgery and 31 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Søren Hess's work include Medical Imaging Techniques and Applications (29 papers), Radiomics and Machine Learning in Medical Imaging (26 papers) and Infectious Diseases and Tuberculosis (22 papers). Søren Hess is often cited by papers focused on Medical Imaging Techniques and Applications (29 papers), Radiomics and Machine Learning in Medical Imaging (26 papers) and Infectious Diseases and Tuberculosis (22 papers). Søren Hess collaborates with scholars based in Denmark, United States and Germany. Søren Hess's co-authors include Poul Flemming Høilund‐Carlsen, Abass Alavi, Oke Gerke, Inger Marie Jensen Hansen, Amir Emamifar, Peter Thye‐Rønn, Per Syrak Hansen, Torkell Ellingsen, Niels Marcussen and Sandip Basu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Communications Magazine.

In The Last Decade

Søren Hess

116 papers receiving 1.7k citations

Hit Papers

FRI0203 A SINGLE-CENTER INVESTIGATION ON THE PREVALENCE O... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Søren Hess Denmark 21 584 458 375 315 210 123 1.7k
Akram M. Shaaban United States 23 334 0.6× 971 2.1× 384 1.0× 151 0.5× 305 1.5× 90 2.2k
Wael Shabana Canada 26 956 1.6× 560 1.2× 764 2.0× 171 0.5× 114 0.5× 62 2.1k
Jae Young Byun South Korea 31 487 0.8× 1.5k 3.3× 619 1.7× 343 1.1× 252 1.2× 96 3.3k
Huay‐Ben Pan Taiwan 28 622 1.1× 927 2.0× 746 2.0× 262 0.8× 215 1.0× 113 2.4k
Patrick Omoumi Switzerland 29 937 1.6× 1.1k 2.3× 416 1.1× 827 2.6× 126 0.6× 146 2.8k
David Grand United States 28 436 0.7× 1.0k 2.3× 814 2.2× 114 0.4× 330 1.6× 99 3.0k
Gerald F. Abbott United States 23 264 0.5× 535 1.2× 913 2.4× 276 0.9× 236 1.1× 51 1.7k
Sung Eun Rha South Korea 30 618 1.1× 1.3k 2.9× 631 1.7× 263 0.8× 411 2.0× 105 3.2k
David Groshar Israel 24 564 1.0× 657 1.4× 700 1.9× 105 0.3× 237 1.1× 146 1.9k
Stefano Palmucci Italy 27 476 0.8× 687 1.5× 956 2.5× 186 0.6× 271 1.3× 196 2.5k

Countries citing papers authored by Søren Hess

Since Specialization
Citations

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

Fields of papers citing papers by Søren Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Søren Hess

This figure shows the co-authorship network connecting the top 25 collaborators of Søren Hess. A scholar is included among the top collaborators of Søren Hess 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 Søren Hess. Søren Hess 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.
Hess, Søren, et al.. (2024). Minimal dose CT for left ventricular ejection fraction and combination with chest-abdomen-pelvis CT. European Journal of Radiology Open. 13. 100583–100583. 1 indexed citations
3.
Hess, Søren, et al.. (2023). Potential for Dose Reduction in CT-Derived Left Ventricular Ejection Fraction: A Simulation Study. Tomography. 9(6). 2089–2102. 1 indexed citations
4.
Šegota, Sandi Baressi, et al.. (2023). Quality Assessment Assistance of Lateral Knee X-rays: A Hybrid Convolutional Neural Network Approach. Mathematics. 11(10). 2392–2392. 1 indexed citations
5.
Poulsen, Mads Hvid, Steinbjørn Hansen, Søren Hess, et al.. (2023). A randomised trial of [18F]PSMA‐1007‐PET/CT versus NaF‐PET/CT for staging primary prostate cancer: A trial protocol. SHILAP Revista de lepidopterología. 4(5). 513–522. 2 indexed citations
6.
Emamifar, Amir, Torkell Ellingsen, Anne Pernille Hermann, et al.. (2021). Prognostic impacts of glucocorticoid treatment in patients with polymyalgia rheumatica and giant cell arteritis. Scientific Reports. 11(1). 6220–6220. 8 indexed citations
7.
Signore, Alberto, Vera Artiko, Guillermina Ferro‐Flores, et al.. (2020). Imaging Bacteria with Radiolabelled Probes: Is It Feasible?. Journal of Clinical Medicine. 9(8). 2372–2372. 28 indexed citations
8.
Emamifar, Amir, Torkell Ellingsen, Søren Hess, et al.. (2020). The Utility of 18F‐FDG PET/CT in Patients With Clinical Suspicion of Polymyalgia Rheumatica and Giant Cell Arteritis: A Prospective, Observational, and Cross‐sectional Study. ACR Open Rheumatology. 2(8). 478–490. 24 indexed citations
9.
Hess, Søren. (2020). FDG-PET/CT in Fever of Unknown Origin, Bacteremia, and Febrile Neutropenia. PET Clinics. 15(2). 175–185. 14 indexed citations
10.
Hess, Søren, Asbjørn M. Scholtens, & Lars Christian Gormsen. (2020). Patient Preparation and Patient-related Challenges with FDG-PET/CT in Infectious and Inflammatory Disease. PET Clinics. 15(2). 125–134. 10 indexed citations
11.
Gerke, Oke, et al.. (2019). FDG-PET/CT as a diagnostic tool in vascular graft infection: a systematic review and meta-analysis. Clinical and Translational Imaging. 7(4). 255–265. 1 indexed citations
12.
Varani, Michela, et al.. (2019). PET Radiopharmaceuticals for Specific Bacteria Imaging: A Systematic Review. Journal of Clinical Medicine. 8(2). 197–197. 46 indexed citations
13.
Hess, Søren, et al.. (2018). FDG-PET/CT in venous thromboembolism. Clinical and Translational Imaging. 6(5). 369–378. 1 indexed citations
14.
Gerke, Oke, et al.. (2018). Clinical value of 18F-FDG-PET/CT in suspected serious disease with special emphasis on occult cancer. Annals of Nuclear Medicine. 33(3). 184–192. 3 indexed citations
15.
Gerke, Oke, et al.. (2017). Value of FDG-PET/CT for treatment response in tuberculosis: a systematic review and meta-analysis. Clinical and Translational Imaging. 6(1). 19–29. 9 indexed citations
16.
Hess, Søren, et al.. (2017). Can semiquantitative measurements of SUVmax and cut-off values differentiate colorectal malignant from benign lessions?. University of Southern Denmark Research Portal (University of Southern Denmark). 20(2). 113–121. 7 indexed citations
17.
Houshmand, Sina, Ali Salavati, Søren Hess, Poul Flemming Høilund‐Carlsen, & Abass Alavi. (2015). Detection of deep vein thrombosis using FDG-PET/CT volumetric parameters:a diagnostic performance study. University of Southern Denmark Research Portal (University of Southern Denmark).
18.
Houshmand, Sina, Ali Salavati, Kasper Pedersen, et al.. (2015). Assessment of the diagnostic performance of quantitative FDG-PET/CT parameters in the detection of vascular graft infection. European Journal of Nuclear Medicine and Molecular Imaging. 42. 787–788. 1 indexed citations
19.
Hess, Søren, et al.. (2015). The clinical value of FDG-PET/CT in bacteraemia of unknown origin: A retrospective study. European Journal of Nuclear Medicine and Molecular Imaging. 42. 1 indexed citations
20.
Madsen, Poul Henning, et al.. (2005). [Diagnostic imaging in acute pulmonary embolism in Denmark. A survey].. PubMed. 167(41). 3875–7. 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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