Felix Busch

2.9k total citations · 1 hit paper
55 papers, 813 citations indexed

About

Felix Busch is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Felix Busch has authored 55 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Health Informatics, 23 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Radiation. Recurrent topics in Felix Busch's work include Artificial Intelligence in Healthcare and Education (27 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Machine Learning in Healthcare (9 papers). Felix Busch is often cited by papers focused on Artificial Intelligence in Healthcare and Education (27 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Machine Learning in Healthcare (9 papers). Felix Busch collaborates with scholars based in Germany, United States and Netherlands. Felix Busch's co-authors include Lisa C. Adams, Keno K. Bressem, Daniel Truhn, Marcus R. Makowski, Stefan M. Niehues, Avan Kader, U. Bonse, J.H. Kinney, R. A. Saroyan and M. C. Nichols and has published in prestigious journals such as JAMA, Radiology and PLoS Biology.

In The Last Decade

Felix Busch

45 papers receiving 791 citations

Hit Papers

Current applications and challenges in large language mod... 2025 2026 2025 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felix Busch Germany 15 394 363 207 141 106 55 813
Philipp Wesp Germany 7 277 0.7× 269 0.7× 175 0.8× 48 0.3× 68 0.6× 12 530
John A. Onofrey United States 15 610 1.5× 94 0.3× 104 0.5× 226 1.6× 129 1.2× 69 880
K. Elizabeth Hawk United States 10 329 0.8× 139 0.4× 107 0.5× 101 0.7× 18 0.2× 18 569
William Shields United Kingdom 9 333 0.8× 293 0.8× 118 0.6× 132 0.9× 71 0.7× 20 563
Abhinav K. Jha United States 21 813 2.1× 105 0.3× 86 0.4× 403 2.9× 138 1.3× 122 1.2k
Tarik K. Alkasab United States 20 754 1.9× 360 1.0× 143 0.7× 267 1.9× 10 0.1× 51 1.3k
Cathal McCague United Kingdom 6 467 1.2× 213 0.6× 269 1.3× 98 0.7× 7 0.1× 11 737
Stephan Ursprung United Kingdom 10 600 1.5× 264 0.7× 313 1.5× 123 0.9× 7 0.1× 29 941
Saikit Lam Hong Kong 17 488 1.2× 41 0.1× 133 0.6× 143 1.0× 173 1.6× 53 749
Sumeet Hindocha United Kingdom 8 178 0.5× 82 0.2× 103 0.5× 45 0.3× 28 0.3× 17 347

Countries citing papers authored by Felix Busch

Since Specialization
Citations

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

Fields of papers citing papers by Felix Busch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Busch

This figure shows the co-authorship network connecting the top 25 collaborators of Felix Busch. A scholar is included among the top collaborators of Felix Busch 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 Felix Busch. Felix Busch 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.
D’Antonoli, Tugba Akinci, Ali S. Tejani, Bardia Khosravi, et al.. (2025). Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care. Radiology Artificial Intelligence. 7(4). e240739–e240739. 1 indexed citations
2.
Bressem, Keno K., Jan C. Peeken, Sebastian Ziegelmayer, et al.. (2025). A Prospective Controlled Trial of Large Language Model–based Simplification of Oncologic CT Reports for Patients with Cancer. Radiology. 317(2). e251844–e251844.
3.
Ziegelmayer, Sebastian, Markus Graf, David W. Weller, et al.. (2025). Real-world clinical impact of three commercial AI algorithms on musculoskeletal radiography interpretation: A prospective crossover reader study. International Journal of Medical Informatics. 205. 106120–106120.
4.
Komenda, Antonín, Markus Graf, Sebastian Ziegelmayer, et al.. (2025). Evaluation of commercial AI algorithms for the detection of fractures, effusions, and dislocations on real-world clinical data: A prospective registry study. Radiography. 31(6). 103189–103189.
5.
Busch, Felix, Anne Frisch, Florian T. Gassert, et al.. (2025). Radiologische Zukunft gestalten: KI aus Sicht junger Expert*innen. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 197(8). 897–902.
6.
Uller, Wibke, Elmar Kotter, Katharina Sophie Vogt, et al.. (2025). Comparative Evaluation of Proprietary and Open-Source Large Language Models for Systematic Multi-source Information Extraction in Interventional Oncology. CardioVascular and Interventional Radiology.
7.
Izquierdo‐Condoy, Juan S., et al.. (2025). Generative Artificial Intelligence in Medical Education: Enhancing Critical Thinking or Undermining Cognitive Autonomy?. Journal of Medical Internet Research. 27. e76340–e76340. 1 indexed citations
8.
Busch, Felix, Lena Hoffmann, Elon H. C. van Dijk, et al.. (2025). Current applications and challenges in large language models for patient care: a systematic review. Communications Medicine. 5(1). 26–26. 58 indexed citations breakdown →
9.
Ziegelmayer, Sebastian, Felix Busch, Lisa C. Adams, et al.. (2025). Evaluating large language model-generated brain MRI protocols: performance of GPT4o, o3-mini, DeepSeek-R1 and Qwen2.5-72B. European Radiology. 36(3). 1644–1655.
10.
Busch, Felix, Hai Nguyen, Sebastian Ziegelmayer, et al.. (2025). Evaluation of a Retrieval-Augmented Generation-Powered Chatbot for Pre-CT Informed Consent: a Prospective Comparative Study. Journal of Imaging Informatics in Medicine. 38(6). 4312–4323. 2 indexed citations
11.
Adams, Lisa C., Felix Busch, Nadine Bayerl, et al.. (2024). Autonomous medical evaluation for guideline adherence of large language models. npj Digital Medicine. 7(1). 358–358. 6 indexed citations
12.
Busch, Felix, Tianyu Han, Marcus R. Makowski, et al.. (2024). Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties. Journal of Medical Internet Research. 26. e54948–e54948. 9 indexed citations
13.
Busch, Felix, Lisa C. Adams, Thomas Schultz, et al.. (2024). Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph Reports. Radiology. 313(1). e241139–e241139. 7 indexed citations
14.
Uller, Wibke, Katharina Sophie Vogt, Felix Busch, et al.. (2024). Large Language Models for Simplified Interventional Radiology Reports: A Comparative Analysis. Academic Radiology. 32(2). 888–898. 14 indexed citations
15.
Busch, Felix, Lena Hoffmann, Daniel Truhn, et al.. (2023). International pharmacy students' perceptions towards artificial intelligence in medicine—A multinational, multicentre cross‐sectional study. British Journal of Clinical Pharmacology. 90(3). 649–661. 34 indexed citations
16.
Bressem, Keno K., Lisa C. Adams, Felix Busch, et al.. (2023). medBERT.de: A comprehensive German BERT model for the medical domain. Expert Systems with Applications. 237. 121598–121598. 27 indexed citations
17.
Busch, Felix, Lina Xu, Daniel Truhn, et al.. (2023). Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs. Computer Methods and Programs in Biomedicine. 234. 107505–107505. 2 indexed citations
18.
Adams, Lisa C., Felix Busch, Daniel Truhn, et al.. (2023). What Does DALL-E 2 Know About Radiology?. Journal of Medical Internet Research. 25. e43110–e43110. 49 indexed citations
19.
Adams, Lisa C., Marcus R. Makowski, Günther Engel, et al.. (2022). Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection. Computers in Biology and Medicine. 148. 105817–105817. 44 indexed citations
20.
Busch, Felix, et al.. (2022). Blind spots on western blots: Assessment of common problems in western blot figures and methods reporting with recommendations to improve them. PLoS Biology. 20(9). e3001783–e3001783. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026