Elina Stoffel

8 papers and 298 indexed citations i.

About

Elina Stoffel is a scholar working on Artificial Intelligence, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Elina Stoffel has authored 8 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Physiology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Elina Stoffel’s work include Breast Lesions and Carcinomas (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Elina Stoffel is often cited by papers focused on Breast Lesions and Carcinomas (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Elina Stoffel collaborates with scholars based in United States, Switzerland and Germany. Elina Stoffel's co-authors include Soleen Ghafoor, Anton S. Becker, Andreas Boss, Magda Marcon, Zhen Fang Huang Cao, Paul Cohen, Nicole Berger, Moritz C. Wurnig, Margret Kiehn and Iris Moll and has published in prestigious journals such as Journal of Virology, Hypertension and Molecular Psychiatry.

In The Last Decade

Co-authorship network of co-authors of Elina Stoffel i

Fields of papers citing papers by Elina Stoffel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Elina Stoffel

Since Specialization
Citations

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