Sara Kuntz

8 papers and 271 indexed citations i.

About

Sara Kuntz is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Oncology. According to data from OpenAlex, Sara Kuntz has authored 8 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Sara Kuntz’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Sara Kuntz is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Sara Kuntz collaborates with scholars based in Germany, United States and Canada. Sara Kuntz's co-authors include Roland Strauß, Burkhard Poeck, Stefan Fröhling, Titus J. Brinker, Eva Krieghoff‐Henning, Jakob Nikolas Kather, Marla B. Sokolowski, Achim Hekler, Tanja Jutzi and Julia Höhn and has published in prestigious journals such as Current Biology, Scientific Reports and European Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Sara Kuntz i

Fields of papers citing papers by Sara Kuntz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Kuntz

Since Specialization
Citations

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