Stefan Schulz

613 total citations · 1 hit paper
17 papers, 362 citations indexed

About

Stefan Schulz is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Stefan Schulz has authored 17 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Stefan Schulz's work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Stefan Schulz is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Stefan Schulz collaborates with scholars based in Germany, Chile and Brazil. Stefan Schulz's co-authors include Sebastian Foersch, Wilfried Roth, Ann-Christin Woerl, Daniel‐Christoph Wagner, Christina Glasner, Aurélie Fernandez, Markus Eckstein, Arndt Hartmann, Jakob Nikolas Kather and Moritz Jesinghaus and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Stefan Schulz

13 papers receiving 351 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer

2023 141 citations Sebastian Foersch, Christina Glasner et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Schulz Germany	6	165	144	95	63	54	17	362
Jing Hang China	10	177 1.1×	101 0.7×	39 0.4×	55 0.9×	62 1.1×	21	323
Peter Ntiamoah United States	11	109 0.7×	122 0.8×	199 2.1×	60 1.0×	41 0.8×	27	418
Robin Elliott United States	12	225 1.4×	111 0.8×	49 0.5×	185 2.9×	45 0.8×	36	458
Ann-Christin Woerl Germany	4	219 1.3×	183 1.3×	134 1.4×	92 1.5×	73 1.4×	6	392
Adrian Ion‐Mărgineanu United States	7	131 0.8×	107 0.7×	39 0.4×	29 0.5×	18 0.3×	16	314
Toshiyuki Ishiba Japan	9	163 1.0×	123 0.9×	68 0.7×	68 1.1×	75 1.4×	35	331
Christina Glasner Germany	3	153 0.9×	129 0.9×	93 1.0×	62 1.0×	53 1.0×	4	279
Adrian Levine Canada	7	105 0.6×	102 0.7×	43 0.5×	34 0.5×	31 0.6×	25	287
Alexandre Carré France	10	343 2.1×	68 0.5×	54 0.6×	85 1.3×	21 0.4×	18	501

Countries citing papers authored by Stefan Schulz

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Schulz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Schulz

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Clusmann, Jan, Stefan Schulz, Dyke Ferber, et al.. (2025). Incidental Prompt Injections on Vision–Language Models in Real-Life Histopathology. NEJM AI. 2(6). 3 indexed citations

Schulz, Stefan, et al.. (2025). Oral creatine in hemodialysis patients increases physical functional capacity and muscle mass, an open label study. PLoS ONE. 20(7). e0328757–e0328757.

Marion, Ingrid van, Stefan Schulz, Christina Glasner, et al.. (2025). Deep Learning Discovers New Morphological Features while Predicting Genetic Alterations from Histopathology of Papillary Thyroid Carcinoma. Thyroid. 35(7). 771–780. 2 indexed citations

Foersch, Sebastian & Stefan Schulz. (2024). Künstliche Intelligenz in der Pathologie: Status quo und Zukunftsperspektiven. 30(5). 362–371.

Foersch, Sebastian, Christina Glasner, Ann-Christin Woerl, et al.. (2023). Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer. Nature Medicine. 29(2). 430–439. 141 indexed citations breakdown →

Schulz, Stefan, Moritz Jesinghaus, & Sebastian Foersch. (2023). Multistain Deep Learning zur Vorhersage von Prognose und Therapieansprechen im kolorektalen Karzinom. PubMed. 44(S3). 104–108. 1 indexed citations

Schulz, Stefan, Ann-Christin Woerl, Florian Jungmann, et al.. (2021). Multimodal Deep Learning for Prognosis Prediction in Renal Cancer. Frontiers in Oncology. 11. 788740–788740. 62 indexed citations

Foersch, Sebastian, Markus Eckstein, Daniel‐Christoph Wagner, et al.. (2021). Deep learning for diagnosis and survival prediction in soft tissue sarcoma. Annals of Oncology. 32(9). 1178–1187. 74 indexed citations

Pylatiuk, Christian, et al.. (2011). Control of OrtoJacket - an intelligent hybrid orthosis for the paralyzed upper extremity. 33. 1 indexed citations

10.

Freitas, Fred, et al.. (2009). Survey of current terminologies and ontologies in biology and medicine. SHILAP Revista de lepidopterología. 2 indexed citations

11.

Schulz, Stefan, Martin Metz, Dorothee Siepmann, et al.. (2009). Antipruritische Wirksamkeit einer hoch dosierten Antihistaminikatherapie. Der Hautarzt. 60(7). 564–568. 25 indexed citations

12.

Schulz, Stefan. (2009). Restorative justice - The case for a Child Justice Act..

13.

Rupp, R., et al.. (2009). Automatic adaptation of a self-adhesive multi-electrode array for active wrist joint stabilization in tetraplegic SCI individuals. 708–713. 23 indexed citations

14.

Daumke, Philipp, et al.. (2008). RadLex – deutsche Version: ein radiologisches Lexikon zur Indexierung von Bild- und Befunddaten. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 181(1). 38–44. 17 indexed citations

15.

Schulz, Stefan, et al.. (2006). An user-centered development of an intuitive dialog control for speech-controlled music selection in cars. paper 1855–Mon1A3O.4. 3 indexed citations

16.

Kargov, A., et al.. (2004). Determination of the grip force distribution in functional grasping. Technology and Health Care. 12(2). 193–194. 4 indexed citations

17.

Maier, Christoph, et al.. (2004). Neurologische Komplikationen und Wirkverlust unter intrathekaler Schmerztherapie. Der Schmerz. 19(2). 144–155. 4 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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