Beate Wietek

25 papers and 947 indexed citations i.

About

Beate Wietek is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Physiology. According to data from OpenAlex, Beate Wietek has authored 25 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 5 papers in Physiology. Recurrent topics in Beate Wietek’s work include MRI in cancer diagnosis (6 papers), Adipose Tissue and Metabolism (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Beate Wietek is often cited by papers focused on MRI in cancer diagnosis (6 papers), Adipose Tissue and Metabolism (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Beate Wietek collaborates with scholars based in Germany, United States and Italy. Beate Wietek's co-authors include Paul Enck, Fritz Schick, Claus D. Claussen, Martín Lotze, Oliver Bachmann, Jürgen Machann, Dominik Dahl, Claus Thamer, Michael Stümvoll and Katja Siegmann-Luz and has published in prestigious journals such as NeuroImage, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Beate Wietek i

Fields of papers citing papers by Beate Wietek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Beate Wietek

Since Specialization
Citations

This map shows the geographic impact of Beate Wietek'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 Beate Wietek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Wietek 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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2025