S. See Tai

About

S. See Tai is a scholar working on Transplantation, Surgery and Epidemiology. According to data from OpenAlex, S. See Tai has authored 6 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Transplantation, 3 papers in Surgery and 3 papers in Epidemiology. Recurrent topics in S. See Tai’s work include Renal Transplantation Outcomes and Treatments (4 papers), Transplantation: Methods and Outcomes (3 papers) and Adenosine and Purinergic Signaling (2 papers). S. See Tai is often cited by papers focused on Renal Transplantation Outcomes and Treatments (4 papers), Transplantation: Methods and Outcomes (3 papers) and Adenosine and Purinergic Signaling (2 papers). S. See Tai collaborates with scholars based in United States, Australia and Spain. S. See Tai's co-authors include Qin Jiang, Rowan G. Walker, Scott B. Campbell, Graeme R. Russ, Sandra M. Cockfield, S. Steinberg, C. Legendre, Maciej Głyda, S. Flechner and J.M. Grinyó and has published in prestigious journals such as European Heart Journal, American Journal of Transplantation and Transplantation Proceedings.

In The Last Decade

Co-authorship network of co-authors of S. See Tai i

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Fields of papers citing papers by S. See Tai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. See 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 S. See Tai. The network helps show where S. See Tai may publish in the future.

Countries citing papers authored by S. See Tai

Since Specialization

Citations

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