W. Roger Williams

1.0k total citations · 1 hit paper
2 papers, 360 citations indexed

About

W. Roger Williams is a scholar working on Molecular Biology, Pharmacology and Artificial Intelligence. According to data from OpenAlex, W. Roger Williams has authored 2 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Pharmacology and 1 paper in Artificial Intelligence. Recurrent topics in W. Roger Williams's work include Antibiotics Pharmacokinetics and Efficacy (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Pharmacological Receptor Mechanisms and Effects (1 paper). W. Roger Williams is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Pharmacological Receptor Mechanisms and Effects (1 paper). W. Roger Williams collaborates with scholars based in United States. W. Roger Williams's co-authors include Muhammad Shaban, Luca L. Weishaupt, Judy J. Wang, Bowen Chen, Anurag Vaidya, Faisal Mahmood, Sharifa Sahai, Ming Y. Lu, Mane Williams and Tong Ding and has published in prestigious journals such as Nature Medicine and Annals of the Rheumatic Diseases.

In The Last Decade

W. Roger Williams

2 papers receiving 349 citations

Hit Papers

Towards a general-purpose foundation model for computatio... 2024 2026 2025 2024 100 200 300

Peers

W. Roger Williams
Jim Diamond United Kingdom
Ronnachai Jaroensri United States
Peter Truszkowski United States
Nick Weiss Germany
Ivy Liang United States
Rob van de Loo Netherlands
Zhaoxuan Ma United States
Igor Odintsov United States
Ana Yuil‐Valdes United States
Jim Diamond United Kingdom
W. Roger Williams
Citations per year, relative to W. Roger Williams W. Roger Williams (= 1×) peers Jim Diamond

Countries citing papers authored by W. Roger Williams

Since Specialization
Citations

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

Fields of papers citing papers by W. Roger Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Roger Williams

This figure shows the co-authorship network connecting the top 25 collaborators of W. Roger Williams. A scholar is included among the top collaborators of W. Roger Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W. Roger Williams. W. Roger Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Chen, Richard J., Tong Ding, Ming Y. Lu, et al.. (2024). Towards a general-purpose foundation model for computational pathology. Nature Medicine. 30(3). 850–862. 331 indexed citations breakdown →
2.
Sheldon, P & W. Roger Williams. (1970). Procainamide-induced systemic lupus erythematosus.. Annals of the Rheumatic Diseases. 29(3). 236–243. 29 indexed citations

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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