Susan S.-C. Tai

45 papers and 1.5k indexed citations i.

About

Susan S.-C. Tai is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Spectroscopy. According to data from OpenAlex, Susan S.-C. Tai has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Pathology and Forensic Medicine and 11 papers in Spectroscopy. Recurrent topics in Susan S.-C. Tai’s work include Hormonal and reproductive studies (14 papers), Vitamin D Research Studies (12 papers) and Mass Spectrometry Techniques and Applications (9 papers). Susan S.-C. Tai is often cited by papers focused on Hormonal and reproductive studies (14 papers), Vitamin D Research Studies (12 papers) and Mass Spectrometry Techniques and Applications (9 papers). Susan S.-C. Tai collaborates with scholars based in United States, Egypt and United Kingdom. Susan S.-C. Tai's co-authors include Michael J. Welch, Karen W. Phinney, Mary Bedner, Lorna T. Sniegoski, Bei Xu, Michael A Nelson, David M. Bunk, Lane C. Sander, White and Hubert W. Vesper and has published in prestigious journals such as Analytical Chemistry, American Journal of Clinical Nutrition and Clinical Chemistry.

In The Last Decade

Co-authorship network of co-authors of Susan S.-C. Tai i

Fields of papers citing papers by Susan S.-C. Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Susan S.-C. Tai

Since Specialization
Citations

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