Ashley S. Williams

32 total papers · 1.3k total citations
19 papers, 953 citations indexed

About

Ashley S. Williams is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Ashley S. Williams has authored 19 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 8 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Ashley S. Williams's work include Adipose Tissue and Metabolism (13 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). Ashley S. Williams is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), Sirtuins and Resveratrol in Medicine (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). Ashley S. Williams collaborates with scholars based in United States, Denmark and Russia. Ashley S. Williams's co-authors include David H. Wasserman, Li Kang, Elijah Trefts, Fuxia Jin, R. Andrew Shanely, David C. Nieman, Dru A. Henson, Steven R. McAnulty, Deanna P. Bracy and Freyja D. James and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Ashley S. Williams

19 papers receiving 940 citations

Author Peers

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

Author Last Decade Papers Cites
Ashley S. Williams 464 355 209 205 180 19 953
Emmani B. M. Nascimento 602 1.3× 531 1.5× 320 1.5× 156 0.8× 72 0.4× 30 1.2k
Dongtao Wang 317 0.7× 664 1.9× 125 0.6× 118 0.6× 78 0.4× 37 1.1k
Marcia J. Abbott 680 1.5× 555 1.6× 263 1.3× 122 0.6× 67 0.4× 26 1.2k
C. Bonnard 560 1.2× 463 1.3× 166 0.8× 134 0.7× 50 0.3× 8 850
Zhongfu Zhao 331 0.7× 284 0.8× 90 0.4× 124 0.6× 48 0.3× 15 866
Jong Han Lee 545 1.2× 404 1.1× 255 1.2× 118 0.6× 34 0.2× 28 1.2k
Michael C. Dyle 313 0.7× 760 2.1× 106 0.5× 183 0.9× 40 0.2× 17 1.0k
Julieta Díaz-Delfín 385 0.8× 501 1.4× 299 1.4× 60 0.3× 124 0.7× 15 1.1k
Thomas S. Nielsen 622 1.3× 326 0.9× 198 0.9× 124 0.6× 86 0.5× 30 1.1k
Ryusuke Hosoda 283 0.6× 539 1.5× 263 1.3× 81 0.4× 402 2.2× 24 974

Countries citing papers authored by Ashley S. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ashley S. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashley S. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Ashley S. Williams. A scholar is included among the top collaborators of Ashley S. 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 Ashley S. Williams. Ashley S. Williams 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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