Jennifer Starr

10 papers and 536 indexed citations i.

About

Jennifer Starr is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Jennifer Starr has authored 10 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Molecular Biology. Recurrent topics in Jennifer Starr’s work include Pain Mechanisms and Treatments (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Neuropeptides and Animal Physiology (3 papers). Jennifer Starr is often cited by papers focused on Pain Mechanisms and Treatments (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers) and Neuropeptides and Animal Physiology (3 papers). Jennifer Starr collaborates with scholars based in Australia. Jennifer Starr's co-authors include G.A. Bentley, Jaye Chin‐Dusting, Anthony M. Dart, David M. Kaye, Bronwyn A. Kingwell, Paul Nestel, Micha T. Maeder, A. Camuglia, J. Shaw and Dmitri Sviridov and has published in prestigious journals such as British Journal of Pharmacology, AJP Heart and Circulatory Physiology and Transplantation.

In The Last Decade

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

Fields of papers citing papers by Jennifer Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer Starr

Since Specialization
Citations

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