Daniela Ehrlich

21 papers and 425 indexed citations i.

About

Daniela Ehrlich is a scholar working on Physiology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniela Ehrlich has authored 21 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 8 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniela Ehrlich’s work include Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neuropeptides and Animal Physiology (3 papers). Daniela Ehrlich is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Neuropeptides and Animal Physiology (3 papers). Daniela Ehrlich collaborates with scholars based in Austria, Czechia and Germany. Daniela Ehrlich's co-authors include Christian Humpel, Michael Pirchl, Tanja Hochstrasser, Josef Marksteiner, Katharina Kurz, Dietmar Fuchs, Kostja Steiner, Friedrich Leblhuber, Simon Geisler and Barbara Sperner‐Unterweger and has published in prestigious journals such as Brain Research, Neuroscience and Nutrients.

In The Last Decade

Co-authorship network of co-authors of Daniela Ehrlich i

Fields of papers citing papers by Daniela Ehrlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Ehrlich

Since Specialization
Citations

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