William E. Nash

13 total papers · 10.9k total citations
8 papers, 676 citations indexed

About

William E. Nash is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology. According to data from OpenAlex, William E. Nash has authored 8 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in William E. Nash's work include Hormonal Regulation and Hypertension (6 papers), Aldose Reductase and Taurine (3 papers) and Steroid Chemistry and Biochemistry (2 papers). William E. Nash is often cited by papers focused on Hormonal Regulation and Hypertension (6 papers), Aldose Reductase and Taurine (3 papers) and Steroid Chemistry and Biochemistry (2 papers). William E. Nash collaborates with scholars based in United States, United Kingdom and China. William E. Nash's co-authors include Yi Rao, Sophie Dupuis, Jane Y. Wu, Wenlin Yuan, Zhi‐Hong Jiang, Lijuan Zhou, David M. Ornitz, Wei Wu, James L. Thomas and Ronald C. Strickler and has published in prestigious journals such as Cell, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

William E. Nash

8 papers receiving 669 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William E. Nash 356 247 200 159 149 8 676
Pia Runeberg‐Roos 179 0.5× 486 2.0× 75 0.4× 19 0.1× 55 0.4× 19 778
Ryoko Tatsumi 121 0.3× 222 0.9× 25 0.1× 34 0.2× 56 0.4× 12 557
Javier Calvo‐Garrido 51 0.1× 381 1.5× 20 0.1× 46 0.3× 186 1.2× 24 714
Robert M. Law 93 0.3× 282 1.1× 18 0.1× 27 0.2× 121 0.8× 9 662
Isabel de Diego 242 0.7× 299 1.2× 197 1.0× 32 0.2× 86 0.6× 14 605
Paromita Sen 57 0.2× 247 1.0× 98 0.5× 29 0.2× 12 0.1× 8 605
Gloria L. Pleger 85 0.2× 544 2.2× 26 0.1× 10 0.1× 50 0.3× 11 695
Delfina Larrea 82 0.2× 392 1.6× 5 0.0× 50 0.3× 108 0.7× 18 630
Naina Bhasin 105 0.3× 456 1.8× 37 0.2× 13 0.1× 40 0.3× 10 642
Hugo Klaassen 160 0.4× 215 0.9× 24 0.1× 3 0.0× 26 0.2× 17 556

Countries citing papers authored by William E. Nash

Since Specialization
Citations

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

Fields of papers citing papers by William E. Nash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Nash. 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 William E. Nash. The network helps show where William E. Nash may publish in the future.

Co-authorship network of co-authors of William E. Nash

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Nash. A scholar is included among the top collaborators of William E. Nash 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 William E. Nash. William E. Nash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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