Richard V. Williams

5.8k total citations · 1 hit paper
97 papers, 4.0k citations indexed

About

Richard V. Williams is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Richard V. Williams has authored 97 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cardiology and Cardiovascular Medicine, 48 papers in Epidemiology and 33 papers in Surgery. Recurrent topics in Richard V. Williams's work include Congenital Heart Disease Studies (44 papers), Cardiac Structural Anomalies and Repair (12 papers) and Coronary Artery Anomalies (12 papers). Richard V. Williams is often cited by papers focused on Congenital Heart Disease Studies (44 papers), Cardiac Structural Anomalies and Repair (12 papers) and Coronary Artery Anomalies (12 papers). Richard V. Williams collaborates with scholars based in United States, Canada and United Kingdom. Richard V. Williams's co-authors include Brian W. McCrindle, Lloyd Y. Tani, L. LuAnn Minich, Renée Margossian, Andrew M. Atz, Reginald H. Mitchell, Yee‐Hing Lai, Lynn Mahony, Stephen M. Paridon and Seema Mital and has published in prestigious journals such as Journal of the American Chemical Society, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Richard V. Williams

89 papers receiving 3.9k citations

Hit Papers

Noninvasive Assessment of Subclinical Atherosclerosis in ... 2009 2026 2014 2020 2009 100 200 300 400

Peers

Richard V. Williams
Comparison fields: 5 of 140
  • Epidemiology 2.1k
  • Cardiology and Cardiovascular Medicine 2.0k
  • Surgery 1.4k
  • Pulmonary and Respiratory Medicine 1.2k
  • Molecular Biology 358
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Citations per field, relative to Richard V. Williams
Richard V. Williams · 1×
Citations per year, relative to Richard V. Williams
Richard V. Williams · 1×

Countries citing papers authored by Richard V. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Richard V. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard V. Williams

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 0
5 6
6 187
7 1
8 2
9 58
10 98
11 189
12 40
13
Noninvasive Assessment of Subclinical Atherosclerosis in Children and Adolescents breakdown →
481
14
Abstract 1817: Enalapril Does Not Improve Growth or Ventricular Function in Infants With Single Ventricle: A Multicenter Clinical Trial
0
15 84
16 8
17 28
18 27
19 11
20 32

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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