René Hosch

543 total citations
48 papers, 264 citations indexed

About

René Hosch is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, René Hosch has authored 48 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Biomedical Engineering and 9 papers in Artificial Intelligence. Recurrent topics in René Hosch's work include Radiomics and Machine Learning in Medical Imaging (19 papers), Advanced X-ray and CT Imaging (8 papers) and Artificial Intelligence in Healthcare and Education (7 papers). René Hosch is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), Advanced X-ray and CT Imaging (8 papers) and Artificial Intelligence in Healthcare and Education (7 papers). René Hosch collaborates with scholars based in Germany, United States and Switzerland. René Hosch's co-authors include Felix Nensa, Johannes Haubold, Sven Koitka, Michael Forsting, Lale Umutlu, Giulia Baldini, Jens Kleesiek, Benedikt M. Schaarschmidt, Axel Wetter and Christoph Rischpler and has published in prestigious journals such as Blood, Scientific Reports and Journal of Medical Internet Research.

In The Last Decade

René Hosch

41 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
René Hosch Germany 10 157 58 53 48 43 48 264
Kexue Deng China 8 231 1.5× 60 1.0× 18 0.3× 83 1.7× 63 1.5× 29 302
Philipp Fervers Germany 9 125 0.8× 44 0.8× 16 0.3× 23 0.5× 31 0.7× 23 239
Jae Hyung Cho United States 9 74 0.5× 31 0.5× 16 0.3× 19 0.4× 17 0.4× 19 403
Nick Lasse Beetz Germany 11 111 0.7× 32 0.6× 84 1.6× 121 2.5× 33 0.8× 29 311
Frederik Wesseling Netherlands 11 183 1.2× 33 0.6× 55 1.0× 117 2.4× 39 0.9× 16 364
Carsten Ammitzbøl Lauridsen Denmark 10 264 1.7× 47 0.8× 19 0.4× 149 3.1× 102 2.4× 25 369
Shier Nee Saw Malaysia 11 84 0.5× 47 0.8× 6 0.1× 29 0.6× 34 0.8× 25 290
Lars Johannes Isaksson Italy 8 133 0.8× 39 0.7× 5 0.1× 49 1.0× 41 1.0× 10 235
Reabal Najjar Australia 4 215 1.4× 116 2.0× 6 0.1× 50 1.0× 80 1.9× 6 390
Sara Ranjbar United States 6 135 0.9× 32 0.6× 6 0.1× 46 1.0× 59 1.4× 11 200

Countries citing papers authored by René Hosch

Since Specialization
Citations

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

Fields of papers citing papers by René Hosch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of René Hosch

This figure shows the co-authorship network connecting the top 25 collaborators of René Hosch. A scholar is included among the top collaborators of René Hosch 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 René Hosch. René Hosch 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.
Baldini, Giulia, Daniel Truhn, Gustav Müller‐Franzes, et al.. (2025). An automated information extraction model for unstructured discharge letters using large language models and GPT-4. Healthcare Analytics. 7. 100378–100378. 3 indexed citations
2.
Schäfer, Henning, Héctor Allende‐Cid, Giulia Baldini, et al.. (2025). From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports. Computers in Biology and Medicine. 195. 110665–110665. 1 indexed citations
3.
Naßenstein, Kai, Lale Umutlu, Michael Forsting, et al.. (2025). Automated Field of View Prescription for Whole-body Magnetic Resonance Imaging Using Deep Learning Based Body Region Segmentations. Investigative Radiology.
4.
Pelka, Obioma, et al.. (2025). Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis. Journal of Medical Internet Research. 27. e73540–e73540.
5.
6.
Haubold, Johannes, Benedikt M. Schaarschmidt, Marcel Opitz, et al.. (2025). Moving Beyond CT Body Composition Analysis. Investigative Radiology. 60(8). 552–559. 1 indexed citations
7.
Kersting, David, Moon Kim, Johannes Haubold, et al.. (2025). Staging of prostate Cancer with ultra-fast PSMA-PET scans enhanced by AI. European Journal of Nuclear Medicine and Molecular Imaging. 52(5). 1658–1670. 2 indexed citations
8.
Turki, Amin T., Alberto Mussetti, Jan Kehrmann, et al.. (2025). Artificial Intelligence in Hematopoietic Stem Cell Transplantation Care and Complication Management. Acta Haematologica. 148(5). 527–545. 1 indexed citations
9.
Jošt, Gregor, Michael Forsting, René Hosch, et al.. (2025). The Impact of Radiation Dose on CT‐Based Body Composition Analysis: A Large‐Animal Study. Journal of Cachexia Sarcopenia and Muscle. 16(1). e13741–e13741. 1 indexed citations
10.
Beckh, Katharina, Nilesh Chakraborty, Giulia Baldini, et al.. (2024). From admission to discharge: a systematic review of clinical natural language processing along the patient journey. BMC Medical Informatics and Decision Making. 24(1). 238–238. 6 indexed citations
11.
Styczen, Hanna, Volker Maus, Daniel J. Weiss, et al.. (2024). Impact of imaging biomarkers from body composition analysis on outcome of endovascularly treated acute ischemic stroke patients. Journal of NeuroInterventional Surgery. 17(12). 1308–1313. 1 indexed citations
12.
Schaarschmidt, Benedikt M., Michael Forsting, Lale Umutlu, et al.. (2024). AI-Assisted X-ray Fracture Detection in Residency Training: Evaluation in Pediatric and Adult Trauma Patients. Diagnostics. 14(6). 596–596. 13 indexed citations
13.
Haubold, Johannes, Karsten H. Wrede, Martin Glas, et al.. (2024). Fully automated MR-based virtual biopsy of primary CNS lymphomas. Neuro-Oncology Advances. 6(1). vdae022–vdae022. 1 indexed citations
14.
Baldini, Giulia, René Hosch, Sven Koitka, et al.. (2024). Addressing the Contrast Media Recognition Challenge. Investigative Radiology. 59(9). 635–645. 3 indexed citations
15.
Haubold, Johannes, Matthias Welsner, Sivagurunathan Sutharsan, et al.. (2024). Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis. Scientific Reports. 14(1). 9465–9465. 8 indexed citations
16.
Hosch, René, et al.. (2023). Predicting Individual Patient Platelet Demand in a Large Tertiary Care Hospital Using Machine Learning. Transfusion Medicine and Hemotherapy. 50(4). 277–285. 5 indexed citations
17.
Hosch, René, et al.. (2023). FHIR-PYrate: a data science friendly Python package to query FHIR servers. BMC Health Services Research. 23(1). 734–734. 13 indexed citations
18.
Baldini, Giulia, René Hosch, Sven Koitka, et al.. (2023). Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management. Blood. 142(26). 2315–2326. 5 indexed citations
19.
Keyl, Julius, René Hosch, Simon Bogner, et al.. (2022). Deep learning‐based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer. Journal of Cachexia Sarcopenia and Muscle. 14(1). 545–552. 19 indexed citations
20.
Koitka, Sven, Jens Theysohn, Arzu Oezcelik, et al.. (2022). Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein. Scientific Reports. 12(1). 16479–16479. 9 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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