Jennifer Aurandt

10 papers and 845 indexed citations i.

About

Jennifer Aurandt is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Jennifer Aurandt has authored 10 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Jennifer Aurandt’s work include Axon Guidance and Neuronal Signaling (5 papers), Angiogenesis and VEGF in Cancer (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Jennifer Aurandt is often cited by papers focused on Axon Guidance and Neuronal Signaling (5 papers), Angiogenesis and VEGF in Cancer (3 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Jennifer Aurandt collaborates with scholars based in United States. Jennifer Aurandt's co-authors include Kun‐Liang Guan, Robert P. Kruger, Haris G. Vikis, J. Silvio Gutkind, Natalie G. Ahn, Weiquan Li, Elizabeth C. Butler, Min Han, Guofa Liu and Kyonsoo Hong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Reviews Molecular Cell Biology and Nature Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Jennifer Aurandt i

Fields of papers citing papers by Jennifer Aurandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer Aurandt

Since Specialization
Citations

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