Pari Azari

About

Pari Azari is a scholar working on Anesthesiology and Pain Medicine, Surgery and Physiology. According to data from OpenAlex, Pari Azari has authored 5 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Anesthesiology and Pain Medicine, 2 papers in Surgery and 2 papers in Physiology. Recurrent topics in Pari Azari’s work include Pain Management and Treatment (3 papers), Pain Mechanisms and Treatments (2 papers) and Spine and Intervertebral Disc Pathology (2 papers). Pari Azari is often cited by papers focused on Pain Management and Treatment (3 papers), Pain Mechanisms and Treatments (2 papers) and Spine and Intervertebral Disc Pathology (2 papers). Pari Azari collaborates with scholars based in United States and China. Pari Azari's co-authors include David Lindsay, Srinivas Pyati, Collin Clarke, Thomas Edward Buchheit, Yan Lü and Billy Huh and has published in prestigious journals such as CNS Drugs, American Journal of Physical Medicine & Rehabilitation and Neuromodulation Technology at the Neural Interface.

In The Last Decade

Co-authorship network of co-authors of Pari Azari i

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Fields of papers citing papers by Pari Azari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pari Azari

Since Specialization

Citations

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