Ryan J. Williams

75 total papers · 4.6k total citations
46 papers, 1.5k citations indexed

About

Ryan J. Williams is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Ryan J. Williams has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 13 papers in Cardiology and Cardiovascular Medicine and 12 papers in Surgery. Recurrent topics in Ryan J. Williams's work include Congenital Heart Disease Studies (13 papers), Mechanical Circulatory Support Devices (8 papers) and Transplantation: Methods and Outcomes (6 papers). Ryan J. Williams is often cited by papers focused on Congenital Heart Disease Studies (13 papers), Mechanical Circulatory Support Devices (8 papers) and Transplantation: Methods and Outcomes (6 papers). Ryan J. Williams collaborates with scholars based in United States, Switzerland and Russia. Ryan J. Williams's co-authors include Kirsten Hofmockel, Adina Howe, Sarah K. Hargreaves, Fan Yang, Elizabeth M. Bach, Daniel S. Levi, Stephen W. Hallgren, Gail W. T. Wilson, Jamil Aboulhosn and Paolo Gardoni and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Water Research.

In The Last Decade

Ryan J. Williams

42 papers receiving 1.5k citations

Hit Papers

Greatest soil microbial d... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Ryan J. Williams 490 381 335 276 262 46 1.5k
Shigeru Uemura 302 0.6× 186 0.5× 115 0.3× 123 0.4× 241 0.9× 93 1.9k
Shiwei Liu 163 0.3× 319 0.8× 200 0.6× 257 0.9× 69 0.3× 81 1.4k
Takeshi Miki 1.1k 2.2× 495 1.3× 67 0.2× 205 0.7× 101 0.4× 102 2.4k
Karl Reiter 269 0.5× 399 1.0× 173 0.5× 49 0.2× 51 0.2× 76 2.3k
Qi Wang 199 0.4× 259 0.7× 265 0.8× 242 0.9× 44 0.2× 157 1.7k
Andrew P. A. Oxley 302 0.6× 706 1.9× 111 0.3× 94 0.3× 45 0.2× 34 1.7k
Jaejoon Jung 409 0.8× 762 2.0× 66 0.2× 74 0.3× 76 0.3× 79 1.8k
Yibo Ding 260 0.5× 264 0.7× 171 0.5× 176 0.6× 103 0.4× 94 2.3k
Ford Ballantyne 611 1.2× 76 0.2× 108 0.3× 273 1.0× 131 0.5× 40 1.5k
Claus D. Buergelt 235 0.5× 304 0.8× 1.1k 3.3× 36 0.1× 66 0.3× 91 2.2k

Countries citing papers authored by Ryan J. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan J. Williams

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