Eleanor Williams

15 papers and 1.8k indexed citations i.

About

Eleanor Williams is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, Eleanor Williams has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Sociology and Political Science. Recurrent topics in Eleanor Williams’s work include Gene expression and cancer classification (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Eleanor Williams is often cited by papers focused on Gene expression and cancer classification (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Eleanor Williams collaborates with scholars based in United Kingdom, United States and Germany. Eleanor Williams's co-authors include Barbara J. Trask, Elena V. Linardopoulou, Cynthia Friedman, Yuxin Fan, Janet M. Young, Gabriella Rustici, Alvis Brāzma, Helen Parkinson, Uğis Sarkans and Lenora W. M. Loo and has published in prestigious journals such as Nature, Nucleic Acids Research and Genes & Development.

In The Last Decade

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

Fields of papers citing papers by Eleanor Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eleanor Williams

Since Specialization
Citations

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