Tina L Doshi

About

Tina L Doshi is a scholar working on Physiology, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Tina L Doshi has authored 27 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 10 papers in Pathology and Forensic Medicine and 9 papers in Pharmacology. Recurrent topics in Tina L Doshi’s work include Pain Mechanisms and Treatments (11 papers), Musculoskeletal pain and rehabilitation (8 papers) and Spine and Intervertebral Disc Pathology (6 papers). Tina L Doshi is often cited by papers focused on Pain Mechanisms and Treatments (11 papers), Musculoskeletal pain and rehabilitation (8 papers) and Spine and Intervertebral Disc Pathology (6 papers). Tina L Doshi collaborates with scholars based in United States, Canada and Denmark. Tina L Doshi's co-authors include Michael Lim, Alice Hung, Mark C. Bicket, Srinivasa N. Raja, Claudia M. Campbell, Steven P. Cohen, Connie Kurihara, Timothy Dawson, Paul F. Pasquina and Ian Gilron and has published in prestigious journals such as Neurology, Pain and Anesthesiology.

In The Last Decade

Co-authorship network of co-authors of Tina L Doshi i

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Fields of papers citing papers by Tina L Doshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tina L Doshi. 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 Tina L Doshi. The network helps show where Tina L Doshi may publish in the future.

Countries citing papers authored by Tina L Doshi

Since Specialization

Citations

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