Felix Nensa

5.4k total citations
167 papers, 2.9k citations indexed

About

Felix Nensa is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Felix Nensa has authored 167 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Pulmonary and Respiratory Medicine and 25 papers in Artificial Intelligence. Recurrent topics in Felix Nensa's work include Radiomics and Machine Learning in Medical Imaging (60 papers), Medical Imaging Techniques and Applications (37 papers) and MRI in cancer diagnosis (22 papers). Felix Nensa is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (60 papers), Medical Imaging Techniques and Applications (37 papers) and MRI in cancer diagnosis (22 papers). Felix Nensa collaborates with scholars based in Germany, United States and Canada. Felix Nensa's co-authors include Philipp Heusch, Thomas Schlosser, Karsten Beiderwellen, Lale Umutlu, Michael Forsting, Thorsten D. Poeppel, Kai Naßenstein, Aydın Demircioğlu, Thomas C. Lauenstein and Axel Wetter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Gastroenterology.

In The Last Decade

Felix Nensa

151 papers receiving 2.8k citations

Peers

Countries citing papers authored by Felix Nensa

Since Specialization

Citations

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

Fields of papers citing papers by Felix Nensa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Nensa

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	FHIR-Former: enhancing clinical predictions through Fast Healthcare Interoperability Resources and large language models 2025 ·Journal of the American Medical Informatics Association ·(unknown), Giulia Baldini, Jens Kleesiek, Felix Nensa, Amin Dada	0
2	An automated information extraction model for unstructured discharge letters using large language models and GPT-4 2025 ·Healthcare Analytics ·(unknown), Giulia Baldini, (unknown), Daniel Truhn, Gustav Müller‐Franzes, Amin Dada, Jens Kleesiek, Felix Nensa, René Hosch	3
3	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 2025 ·Computers in Biology and Medicine ·(unknown), Henning Schäfer, Héctor Allende‐Cid, Giulia Baldini, (unknown), (unknown), (unknown), Nilesh Chakraborty, (unknown), (unknown), (unknown), (unknown), Sven Giesselbach, Christoph M. Friedrich, Felix Nensa, Martin Schüler, René Hosch	1
4	Democratizing AI in Healthcare with Open Medical Inference (OMI): Protocols, Data Exchange, and AI Integration 2025 ·RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren ·Obioma Pelka, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Matthias May, Andreas Bucher, (unknown), Martin Boeker, Rickmer Braren, Hans‐Ulrich Prokosch, Felix Nensa	0
5	Automated Field of View Prescription for Whole-body Magnetic Resonance Imaging Using Deep Learning Based Body Region Segmentations 2025 ·Investigative Radiology ·(unknown), (unknown), Kai Naßenstein, (unknown), (unknown), (unknown), Lale Umutlu, Michael Forsting, Johannes Haubold, (unknown), (unknown), (unknown), Felix Nensa, René Hosch	0
6	Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis 2025 ·Journal of Medical Internet Research ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Obioma Pelka, Johannes Haubold, Christoph M. Friedrich, Felix Nensa, René Hosch	0
7	Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study 2025 ·Journal of Medical Internet Research ·(unknown), (unknown), (unknown), Sylvia Thun, Daniel Pinto dos Santos, (unknown), (unknown), Hans‐Ulrich Prokosch, (unknown), (unknown), (unknown), (unknown), (unknown), Giulia Baldini, (unknown), Johannes Haubold, Felix Nensa, Obioma Pelka, René Hosch	1
8	Early Metabolic Response by PET Predicts Sensitivity to Next-Line Targeted Therapy inEGFR-Mutated Lung Cancer with Unknown Mechanism of Acquired Resistance 2024 ·Journal of Nuclear Medicine ·Martin Schüler, J. Hense, Kaid Darwiche, Sebastian Michels, Hubertus Hautzel, Carsten Kobe, Smiths Lueong, Martin Metzenmacher, Thomas Herold, (unknown), (unknown), Alexander Drzezga, Dirk Theegarten, Felix Nensa, Jürgen Wolf, Ken Herrmann, Marcel Wiesweg	3
9	From admission to discharge: a systematic review of clinical natural language processing along the patient journey 2024 ·BMC Medical Informatics and Decision Making ·(unknown), Katharina Beckh, (unknown), Nilesh Chakraborty, Giulia Baldini, (unknown), René Hosch, Felix Nensa, Martin Schüler, Sven Giesselbach	6
10	Impact of imaging biomarkers from body composition analysis on outcome of endovascularly treated acute ischemic stroke patients 2024 ·Journal of NeuroInterventional Surgery ·Hanna Styczen, Volker Maus, Daniel J. Weiss, Lukas Goertz, René Hosch, Christian Rubbert, (unknown), (unknown), (unknown), (unknown), Cornelius Deuschl, Felix Nensa, Johannes Haubold	1
11	Embracing generative AI: A necessary evolution in professional writing 2024 ·Felix Nensa	3
12	AI-Assisted X-ray Fracture Detection in Residency Training: Evaluation in Pediatric and Adult Trauma Patients 2024 ·Diagnostics ·(unknown), (unknown), (unknown), (unknown), (unknown), Benedikt M. Schaarschmidt, Michael Forsting, (unknown), Lale Umutlu, René Hosch, Felix Nensa, Johannes Haubold	13
13	Fully automated MR-based virtual biopsy of primary CNS lymphomas 2024 ·Neuro-Oncology Advances ·(unknown), Johannes Haubold, (unknown), (unknown), Karsten H. Wrede, Martin Glas, Maja Guberina, Tobias Blau, (unknown), (unknown), René Hosch, Felix Nensa, Michael Forsting, Cornelius Deuschl, Lale Umutlu	1
14	BioKGrapher: Initial evaluation of automated knowledge graph construction from biomedical literature 2024 ·Computational and Structural Biotechnology Journal ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Elisabeth Livingstone, Dirk Schadendorf, Felix Nensa, Péter Horn, Christoph M. Friedrich	2
15	Predicting Individual Patient Platelet Demand in a Large Tertiary Care Hospital Using Machine Learning 2023 ·Transfusion Medicine and Hemotherapy ·(unknown), (unknown), (unknown), (unknown), (unknown), René Hosch, Sven Koitka, (unknown), Péter Horn, Felix Nensa	5
16	Information extraction from weakly structured radiological reports with natural language queries 2023 ·European Radiology ·Amin Dada, (unknown), Moon Kim, (unknown), (unknown), Michael Forsting, Felix Nensa, Jan Egger, Jens Kleesiek	7
17	Falling off the screening grid—Predictors for postponed utilization of psycho‐oncological support in cancer patients and its implications for distress assessment and management 2023 ·Psycho-Oncology ·(unknown), Alexander Bäuerle, (unknown), (unknown), Felix Nensa, Stefan Palm, Mitra Tewes, Dirk Schadendorf, Eva‐Maria Skoda, Martin Teufel	3
18	FHIR-PYrate: a data science friendly Python package to query FHIR servers 2023 ·BMC Health Services Research ·René Hosch, Giulia Baldini, (unknown), (unknown), Sven Koitka, (unknown), (unknown), (unknown), Felix Nensa	13
19	Impact of improved attenuation correction on 18F-FDG PET/MR hybrid imaging of the heart 2019 ·PLoS ONE ·(unknown), Felix Nensa, Harald H. Quick	13
20	Clinical response to crizotinib and emergence of resistance in lung adenocarcinoma harboring a MET c-Cbl binding site mutation 2019 ·Lung Cancer ·Marcel Wiesweg, Thomas Herold, Martin Metzenmacher, Wilfried Eberhardt, Henning Reis, Kaid Darwiche, Clemens Aigner, Martin Stuschke, Ken Herrmann, Felix Nensa, Hans‐Ulrich Schildhaus, Martin Schüler	4

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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