Sophia J. Wagner

1.5k total citations · 1 hit paper
10 papers, 543 citations indexed

About

Sophia J. Wagner is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Sophia J. Wagner has authored 10 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biophysics. Recurrent topics in Sophia J. Wagner's work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers) and Cell Image Analysis Techniques (3 papers). Sophia J. Wagner is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (7 papers) and Cell Image Analysis Techniques (3 papers). Sophia J. Wagner collaborates with scholars based in Germany, United States and United Kingdom. Sophia J. Wagner's co-authors include Michaela Unger, Jakob Nikolas Kather, Gregory Patrick Veldhuizen, Hannah Sophie Muti, Jan Clusmann, Zunamys I. Carrero, Jan‐Niklas Eckardt, Chiara Maria Lavinia Löffler, Fiona R. Kolbinger and Narmin Ghaffari Laleh and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Nature Protocols.

In The Last Decade

Sophia J. Wagner

8 papers receiving 528 citations

Hit Papers

The future landscape of large language models in medicine 2023 2026 2024 2025 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sophia J. Wagner Germany 6 290 238 165 42 38 10 543
Michaela Unger Germany 4 291 1.0× 237 1.0× 173 1.0× 48 1.1× 37 1.0× 5 556
Chiara Maria Lavinia Löffler Germany 4 287 1.0× 209 0.9× 159 1.0× 39 0.9× 37 1.0× 7 514
Jan Clusmann Germany 6 299 1.0× 211 0.9× 140 0.8× 50 1.2× 38 1.0× 17 545
Christian Bluethgen Switzerland 9 283 1.0× 265 1.1× 207 1.3× 53 1.3× 28 0.7× 11 566
Hannah Sophie Muti Germany 9 297 1.0× 267 1.1× 223 1.4× 59 1.4× 42 1.1× 15 647
Jasmine Chiat Ling Ong Singapore 13 243 0.8× 131 0.6× 103 0.6× 26 0.6× 45 1.2× 24 492
Jan‐Niklas Eckardt Germany 9 370 1.3× 331 1.4× 234 1.4× 88 2.1× 58 1.5× 21 810
Jesutofunmi A. Omiye United States 10 226 0.8× 185 0.8× 118 0.7× 36 0.9× 70 1.8× 17 598
Abhimanyu S. Ahuja United States 9 254 0.9× 121 0.5× 212 1.3× 42 1.0× 77 2.0× 30 704
Gregory Patrick Veldhuizen Germany 11 350 1.2× 349 1.5× 292 1.8× 55 1.3× 47 1.2× 24 784

Countries citing papers authored by Sophia J. Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Sophia J. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sophia J. Wagner. 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 Sophia J. Wagner. The network helps show where Sophia J. Wagner may publish in the future.

Co-authorship network of co-authors of Sophia J. Wagner

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

All Works

10 of 10 papers shown
1.
Wagner, Sophia J., et al.. (2025). Image Analysis: Understanding and Mitigating Batch Effects in Histopathology. 4(1). 20–25.
2.
Nahhas, Omar S. M. El, Marko van Treeck, Georg Wölflein, et al.. (2024). From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology. Nature Protocols. 20(1). 293–316. 27 indexed citations
3.
Wagner, Sophia J., et al.. (2024). Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology. PuSH - Publication Server of Helmholtz Zentrum München. 1–5. 4 indexed citations
4.
Clusmann, Jan, Fiona R. Kolbinger, Hannah Sophie Muti, et al.. (2024). Die kommende Entwicklung großer Sprachmodelle in der Medizin. 11(1). 3–10.
5.
Niehues, Jan, Gustav Müller‐Franzes, Sophia J. Wagner, et al.. (2024). Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance. Computers in Biology and Medicine. 175. 108410–108410. 5 indexed citations
6.
Kofler, Florian, Ivan Ezhov, Sophia J. Wagner, et al.. (2023). Approaching Peak Ground Truth. PuSH - Publication Server of Helmholtz Zentrum München. 1–6. 4 indexed citations
7.
Clusmann, Jan, Fiona R. Kolbinger, Hannah Sophie Muti, et al.. (2023). The future landscape of large language models in medicine. SHILAP Revista de lepidopterología. 3(1). 141–141. 472 indexed citations breakdown →
8.
Wagner, Sophia J., Christian Matek, Melanie Boxberg, et al.. (2023). Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology. Modern Pathology. 37(1). 100350–100350. 11 indexed citations
9.
Wagner, Sophia J., Christian Matek, Melanie Boxberg, et al.. (2022). Make deep learning algorithms in computational pathology more reproducible and reusable. Nature Medicine. 28(9). 1744–1746. 15 indexed citations
10.
Liu, Ye, Sophia J. Wagner, & Tingying Peng. (2022). Multi-Modality Microscopy Image Style Augmentation for Nuclei Segmentation. Journal of Imaging. 8(3). 71–71. 5 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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