Katja Siegmann-Luz

22 papers and 247 indexed citations i.

About

Katja Siegmann-Luz is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Katja Siegmann-Luz has authored 22 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cancer Research and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Katja Siegmann-Luz’s work include MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Breast Cancer Treatment Studies (7 papers). Katja Siegmann-Luz is often cited by papers focused on MRI in cancer diagnosis (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Breast Cancer Treatment Studies (7 papers). Katja Siegmann-Luz collaborates with scholars based in Germany, Austria and United States. Katja Siegmann-Luz's co-authors include Heike Preibsch, Annette Staebler, Beate Wietek, Markus Hahn, Claus D. Claussen, Sara Y. Brucker, Katharina Rall, Benjamin Wiesinger, Konstantin Nikolaou and CD Claussen and has published in prestigious journals such as Nature Medicine, European Radiology and European Journal of Radiology.

In The Last Decade

Co-authorship network of co-authors of Katja Siegmann-Luz i

Fields of papers citing papers by Katja Siegmann-Luz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katja Siegmann-Luz. 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 Katja Siegmann-Luz. The network helps show where Katja Siegmann-Luz may publish in the future.

Countries citing papers authored by Katja Siegmann-Luz

Since Specialization
Citations

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

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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