Franziska Siegel

19 papers and 657 indexed citations i.

About

Franziska Siegel is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Franziska Siegel has authored 19 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 5 papers in Physiology. Recurrent topics in Franziska Siegel’s work include Adipose Tissue and Metabolism (5 papers), Cancer Mechanisms and Therapy (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Franziska Siegel is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Cancer Mechanisms and Therapy (4 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). Franziska Siegel collaborates with scholars based in Germany, United States and Spain. Franziska Siegel's co-authors include Alexander Pfeifer, Holger Fröhlich, Bodo Haas, Yong Chen, Gunter Meister, Dominik Mumberg, Jöerg Heeren, Jennifer Naumann, Michael J. Schell and Yong Chen and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Franziska Siegel i

Fields of papers citing papers by Franziska Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Franziska Siegel

Since Specialization
Citations

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