Nia Williams

5 papers and 308 indexed citations i.

About

Nia Williams is a scholar working on Infectious Diseases, Surgery and Epidemiology. According to data from OpenAlex, Nia Williams has authored 5 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 1 paper in Surgery and 1 paper in Epidemiology. Recurrent topics in Nia Williams’s work include COVID-19 Clinical Research Studies (2 papers), Prevention and Treatment of HIV/AIDS Infection (1 paper) and HIV Research and Treatment (1 paper). Nia Williams is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), Prevention and Treatment of HIV/AIDS Infection (1 paper) and HIV Research and Treatment (1 paper). Nia Williams collaborates with scholars based in United Kingdom and United States. Nia Williams's co-authors include Katharine Harman, Pankaj B. Agrawal, Trisha Radia, Atul Gupta, James Cook, Scott J. Moeller, Eliza B. Geer, Lizette Couto, Rachel Yehuda and Rita Z. Goldstein and has published in prestigious journals such as Frontiers in Neuroscience, European Journal of Pediatrics and Public Health Reports.

In The Last Decade

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

Fields of papers citing papers by Nia Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nia Williams

Since Specialization
Citations

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