Ann-Christin Woerl

6 papers and 298 indexed citations i.

About

Ann-Christin Woerl is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Oncology. According to data from OpenAlex, Ann-Christin Woerl has authored 6 papers receiving a total of 298 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 Ann-Christin Woerl’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), Colorectal Cancer Screening and Detection (3 papers) and AI in cancer detection (2 papers). Ann-Christin Woerl is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Colorectal Cancer Screening and Detection (3 papers) and AI in cancer detection (2 papers). Ann-Christin Woerl collaborates with scholars based in Germany. Ann-Christin Woerl's co-authors include Daniel‐Christoph Wagner, Wilfried Roth, Sebastian Foersch, Markus Eckstein, Aurélie Fernandez, Arndt Hartmann, Stefan Schulz, Philipp Stenzel, Michael Wand and Wilko Weichert and has published in prestigious journals such as Nature Medicine, Annals of Oncology and European Urology.

In The Last Decade

Co-authorship network of co-authors of Ann-Christin Woerl i

Fields of papers citing papers by Ann-Christin Woerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann-Christin Woerl. 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 Ann-Christin Woerl. The network helps show where Ann-Christin Woerl may publish in the future.

Countries citing papers authored by Ann-Christin Woerl

Since Specialization
Citations

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