Shirley Williams

90 papers and 2.3k indexed citations i.

About

Shirley Williams is a scholar working on Computer Science Applications, Education and Molecular Biology. According to data from OpenAlex, Shirley Williams has authored 90 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Science Applications, 13 papers in Education and 11 papers in Molecular Biology. Recurrent topics in Shirley Williams’s work include Online and Blended Learning (10 papers), Online Learning and Analytics (10 papers) and Platelet Disorders and Treatments (10 papers). Shirley Williams is often cited by papers focused on Online and Blended Learning (10 papers), Online Learning and Analytics (10 papers) and Platelet Disorders and Treatments (10 papers). Shirley Williams collaborates with scholars based in United Kingdom, United States and Japan. Shirley Williams's co-authors include Tharindu R. Liyanagunawardena, Diane J. Nugent, J. E. Tooke, Melissa Terras, Claire Warwick, Jeffrey S. Buzby, Peggy Nakagawa, Karen L. Imfeld, Mei Chang and Michael R. Schwartz and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Blood.

In The Last Decade

Co-authorship network of co-authors of Shirley Williams i

Fields of papers citing papers by Shirley Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shirley Williams

Since Specialization
Citations

This map shows the geographic impact of Shirley Williams'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 Shirley Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shirley Williams 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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2025