Williams De

20 papers and 443 indexed citations i.

About

Williams De is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Williams De has authored 20 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Williams De’s work include Cytokine Signaling Pathways and Interactions (4 papers), Immunotherapy and Immune Responses (4 papers) and Immune Response and Inflammation (4 papers). Williams De is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Immunotherapy and Immune Responses (4 papers) and Immune Response and Inflammation (4 papers). Williams De collaborates with scholars based in United States and France. Williams De's co-authors include Steven Gillis, Jan A. Nolta, Donald B. Kohn, Lyman Sd, Broxmeyer He, Mark Teepe, Robert Tushinski, June Eisenman, Kay Huebner and David Cosman and has published in prestigious journals such as PubMed.

In The Last Decade

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

Fields of papers citing papers by Williams De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Williams De

Since Specialization
Citations

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