Daniel Williams

6 papers and 142 indexed citations i.

About

Daniel Williams is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Daniel Williams has authored 6 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Oncology. Recurrent topics in Daniel Williams’s work include T-cell and B-cell Immunology (2 papers), RNA regulation and disease (2 papers) and Immunotherapy and Immune Responses (2 papers). Daniel Williams is often cited by papers focused on T-cell and B-cell Immunology (2 papers), RNA regulation and disease (2 papers) and Immunotherapy and Immune Responses (2 papers). Daniel Williams collaborates with scholars based in United Kingdom, Italy and United States. Daniel Williams's co-authors include Christopher G. Proud, Graham D. Pavitt, Nigel T. Price, Jane Loughlin, Oriano Marin, Lorenzo A. Pinna, Deborah H. Sutton, J Botella, Phillip Debnam and Brendan J. Classon and has published in prestigious journals such as Journal of Biological Chemistry, FEBS Letters and eLife.

In The Last Decade

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

Fields of papers citing papers by Daniel Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Williams

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025