Christoph Sadée

739 total citations
14 papers, 344 citations indexed

About

Christoph Sadée is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Christoph Sadée has authored 14 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Christoph Sadée's work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 Clinical Research Studies (3 papers) and RNA modifications and cancer (2 papers). Christoph Sadée is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 Clinical Research Studies (3 papers) and RNA modifications and cancer (2 papers). Christoph Sadée collaborates with scholars based in United States, United Kingdom and Spain. Christoph Sadée's co-authors include Jernej Ule, Loukia Yiangou, Shota Nakanoh, Juned Kadiwala, Hendrik G. Stunnenberg, Pedro Madrigal, Anna Osnato, An‐Sofie Lenaerts, Ludovic Vallier and Alessandro Bertero and has published in prestigious journals such as Nature, Nature Communications and International Journal of Molecular Sciences.

In The Last Decade

Christoph Sadée

13 papers receiving 343 citations

Peers

Christoph Sadée
Peter Deraska United States
Tao Guan China
Youdinghuan Chen United States
Sylvia Duin Netherlands
Christoph Sadée
Citations per year, relative to Christoph Sadée Christoph Sadée (= 1×) peers Xiaoyan Teng

Countries citing papers authored by Christoph Sadée

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Sadée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Sadée

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

All Works

14 of 14 papers shown
1.
Zheng, Yuanning, Christoph Sadée, Michael G. Ozawa, Brooke E. Howitt, & Olivier Gevaert. (2025). Single-cell multimodal analysis reveals tumor microenvironment predictive of treatment response in non–small cell lung cancer. Science Advances. 11(21). eadu2151–eadu2151. 4 indexed citations
2.
Sadée, Christoph, Thomas Barba, Katherine E. Hartmann, et al.. (2025). Medical digital twins: enabling precision medicine and medical artificial intelligence. The Lancet Digital Health. 7(7). 100864–100864. 12 indexed citations
3.
Barba, Thomas, Sandra Steyaert, Francisco Carrillo‐Pérez, et al.. (2025). DUNE: a versatile neuroimaging encoder captures brain complexity across 3 major diseases: cancer, dementia, and schizophrenia. GigaScience. 14.
4.
Li, Yiheng, Christoph Sadée, Francisco Carrillo‐Pérez, et al.. (2024). A 3D lung lesion variational autoencoder. Cell Reports Methods. 4(2). 100695–100695. 4 indexed citations
5.
Sadée, Christoph, et al.. (2024). Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer. Cancer Medicine. 13(24). e70509–e70509. 2 indexed citations
6.
Ding, Daisy Yi, M. Çakmak, Christoph Sadée, et al.. (2024). Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. npj Digital Medicine. 7(1). 117–117. 2 indexed citations
7.
Phung, Michelle, Veronica Rotemberg, Roberto A. Novoa, et al.. (2023). Best Practices for Clinical Skin Image Acquisition in Translational Artificial Intelligence Research. Journal of Investigative Dermatology. 143(7). 1127–1132. 5 indexed citations
8.
Sadée, Christoph, Winston R. Becker, Inga Jarmoskaite, et al.. (2022). A comprehensive thermodynamic model for RNA binding by the Saccharomyces cerevisiae Pumilio protein PUF4. Nature Communications. 13(1). 4522–4522. 6 indexed citations
9.
Sadée, Christoph, et al.. (2022). Imaging genomics: data fusion in uncovering disease heritability. Trends in Molecular Medicine. 29(2). 141–151. 13 indexed citations
10.
Sadée, Christoph, Stephen Harding, Gregg Wallis, et al.. (2022). Determination of IgG1 and IgG3 SARS-CoV-2 Spike Protein and Nucleocapsid Binding—Who Is Binding Who and Why?. International Journal of Molecular Sciences. 23(11). 6050–6050. 7 indexed citations
11.
Sadée, Christoph, Stephen Harding, Jernej Ule, et al.. (2022). SARS-CoV-2 Spike Protein Binding of Glycated Serum Albumin—Its Potential Role in the Pathogenesis of the COVID-19 Clinical Syndromes and Bias towards Individuals with Pre-Diabetes/Type 2 Diabetes and Metabolic Diseases. International Journal of Molecular Sciences. 23(8). 4126–4126. 11 indexed citations
12.
Jeffares, Daniel, Christoph Sadée, Maria Rodríguez‐López, et al.. (2019). Fitness Landscape of the Fission Yeast Genome. Molecular Biology and Evolution. 36(8). 1612–1623. 9 indexed citations
13.
Bertero, Alessandro, Stephanie Brown, Pedro Madrigal, et al.. (2018). The SMAD2/3 interactome reveals that TGFβ controls m6A mRNA methylation in pluripotency. Nature. 555(7695). 256–259. 266 indexed citations
14.
Sadée, Christoph, et al.. (2016). A model of thermotherapy treatment for bladder cancer. Mathematical Biosciences & Engineering. 13(6). 1169–1183. 3 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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