Audrey Long

11 papers and 560 indexed citations i.

About

Audrey Long is a scholar working on Pharmacology, Pathology and Forensic Medicine and Cognitive Neuroscience. According to data from OpenAlex, Audrey Long has authored 11 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 7 papers in Pathology and Forensic Medicine and 2 papers in Cognitive Neuroscience. Recurrent topics in Audrey Long’s work include Musculoskeletal pain and rehabilitation (9 papers), Spine and Intervertebral Disc Pathology (7 papers) and Pain Management and Placebo Effect (2 papers). Audrey Long is often cited by papers focused on Musculoskeletal pain and rehabilitation (9 papers), Spine and Intervertebral Disc Pathology (7 papers) and Pain Management and Placebo Effect (2 papers). Audrey Long collaborates with scholars based in United States, Canada and United Kingdom. Audrey Long's co-authors include Tak Fung, Stephen May, David J. A. Dozois, May Chun Mei Wong, Keith S. Dobson, Ronald Donelson, Daniel Choi, Kevin F. Spratt and Joel Coffman and has published in prestigious journals such as Pain, Spine and The Spine Journal.

In The Last Decade

Co-authorship network of co-authors of Audrey Long i

Fields of papers citing papers by Audrey Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Audrey Long

Since Specialization
Citations

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