Kei‐Sing Tai

About

Kei‐Sing Tai is a scholar working on Physiology, Pharmacology and Anesthesiology and Pain Medicine. According to data from OpenAlex, Kei‐Sing Tai has authored 7 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Pharmacology and 4 papers in Anesthesiology and Pain Medicine. Recurrent topics in Kei‐Sing Tai’s work include Pain Mechanisms and Treatments (5 papers), Musculoskeletal pain and rehabilitation (4 papers) and Pain Management and Opioid Use (4 papers). Kei‐Sing Tai is often cited by papers focused on Pain Mechanisms and Treatments (5 papers), Musculoskeletal pain and rehabilitation (4 papers) and Pain Management and Opioid Use (4 papers). Kei‐Sing Tai collaborates with scholars based in United States, India and United Kingdom. Kei‐Sing Tai's co-authors include Mugdha Gore, Ellen Dukes, Douglas Leslie, Nancy A. Brandenburg, Diane C. Zelman, Alesia Sadosky, Brett R. Stacey, David J. Rowbotham, Gergana Zlateva and Arthi Chandran and has published in prestigious journals such as Journal of Pain and Symptom Management, European Journal of Pain and Pain Practice.

In The Last Decade

Co-authorship network of co-authors of Kei‐Sing Tai i

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Fields of papers citing papers by Kei‐Sing Tai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kei‐Sing Tai. 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 Kei‐Sing Tai. The network helps show where Kei‐Sing Tai may publish in the future.

Countries citing papers authored by Kei‐Sing Tai

Since Specialization

Citations

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