Katharina Nekolla

16 papers and 762 indexed citations i.

About

Katharina Nekolla is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Katharina Nekolla has authored 16 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Katharina Nekolla’s work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and RNA Interference and Gene Delivery (2 papers). Katharina Nekolla is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and RNA Interference and Gene Delivery (2 papers). Katharina Nekolla collaborates with scholars based in Germany, United Kingdom and Japan. Katharina Nekolla's co-authors include Markus Rehberg, Fritz Krombach, Stefan Zahler, Angelika M. Vollmar, Jens Hasserodt, Marie Delattre, Wallis Nahaboo, Oliver Thorn‐Seshold, Malgorzata Borowiak and Martin Reynders and has published in prestigious journals such as Cell, Blood and Biomaterials.

In The Last Decade

Co-authorship network of co-authors of Katharina Nekolla i

Fields of papers citing papers by Katharina Nekolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katharina Nekolla

Since Specialization
Citations

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