Michelle Williams

24 total papers · 1.1k total citations
17 papers, 756 citations indexed

About

Michelle Williams is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Michelle Williams has authored 17 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Michelle Williams's work include Cardiac Imaging and Diagnostics (7 papers), Cardiovascular Function and Risk Factors (6 papers) and Meat and Animal Product Quality (2 papers). Michelle Williams is often cited by papers focused on Cardiac Imaging and Diagnostics (7 papers), Cardiovascular Function and Risk Factors (6 papers) and Meat and Animal Product Quality (2 papers). Michelle Williams collaborates with scholars based in United States, Australia and New Zealand. Michelle Williams's co-authors include Thomas H. Marwick, James D. Thomas, Michael S. Lauer, Jill Odabashian, Brian Haluska, Fredric J. Pashkow, P. Daniel Meerburg, Bruce W. Lytle, Maria‐Anna Secknus and Rodney A. Foale and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Medicine & Science in Sports & Exercise.

In The Last Decade

Michelle Williams

17 papers receiving 717 citations

Author Peers

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

Author Last Decade Papers Cites
Michelle Williams 520 451 145 95 80 17 756
Ann Olmsted 484 0.9× 480 1.1× 96 0.7× 107 1.1× 53 0.7× 18 877
Helen Sheehan 266 0.5× 358 0.8× 441 3.0× 120 1.3× 11 0.1× 20 899
Inger Haraldsson 518 1.0× 200 0.4× 221 1.5× 89 0.9× 4 0.1× 29 800
James N. Ross 540 1.0× 502 1.1× 162 1.1× 121 1.3× 18 0.2× 36 910
Marisa K. Ames 313 0.6× 208 0.5× 76 0.5× 22 0.2× 23 0.3× 27 648
E. Obare 63 0.1× 169 0.4× 75 0.5× 35 0.4× 22 0.3× 14 892
Caroline Fraser 75 0.1× 210 0.5× 100 0.7× 15 0.2× 10 0.1× 16 726
Daniel F. Hogan 306 0.6× 386 0.9× 121 0.8× 68 0.7× 19 0.2× 40 693
Stephen Darty 654 1.3× 193 0.4× 108 0.7× 30 0.3× 50 0.6× 21 811
F R Badke 612 1.2× 133 0.3× 134 0.9× 72 0.8× 13 0.2× 18 730

Countries citing papers authored by Michelle Williams

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Williams

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