Franziska Eckert

86 papers and 1.3k indexed citations i.

About

Franziska Eckert is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Franziska Eckert has authored 86 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 31 papers in Pulmonary and Respiratory Medicine and 19 papers in Genetics. Recurrent topics in Franziska Eckert’s work include Glioma Diagnosis and Treatment (19 papers), Sarcoma Diagnosis and Treatment (14 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Franziska Eckert is often cited by papers focused on Glioma Diagnosis and Treatment (19 papers), Sarcoma Diagnosis and Treatment (14 papers) and Cancer Immunotherapy and Biomarkers (12 papers). Franziska Eckert collaborates with scholars based in Germany, Austria and Switzerland. Franziska Eckert's co-authors include Daniel Zips, Stephan M. Huber, Lukas Klumpp, Arndt‐Christian Müller, Marco Skardelly, Efe Sezgın, Karin Schilbach, Cihan Gani, Jens Schittenhelm and Frank Paulsen and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Clinical Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Franziska Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Franziska Eckert

Since Specialization
Citations

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