Daniela Kaufer

74 papers and 7.2k indexed citations i.

About

Daniela Kaufer is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Daniela Kaufer has authored 74 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 23 papers in Neurology and 20 papers in Molecular Biology. Recurrent topics in Daniela Kaufer’s work include Neuroscience and Neuropharmacology Research (20 papers), Barrier Structure and Function Studies (17 papers) and Stress Responses and Cortisol (14 papers). Daniela Kaufer is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Barrier Structure and Function Studies (17 papers) and Stress Responses and Cortisol (14 papers). Daniela Kaufer collaborates with scholars based in United States, Israel and Canada. Daniela Kaufer's co-authors include Alon Friedman, Hermona Soreq, Mony Benifla, Uwe Heinemann, Shlomo Seidman, Annaliese K. Beery, Uwe Heinemann, Sebastian Ivens, Luisa P. Cacheaux and Elizabeth D. Kirby and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

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

Fields of papers citing papers by Daniela Kaufer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Kaufer

Since Specialization
Citations

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