David G.A. Williams

627 total citations
17 papers, 423 citations indexed

About

David G.A. Williams is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, David G.A. Williams has authored 17 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 8 papers in Cardiology and Cardiovascular Medicine and 8 papers in Physiology. Recurrent topics in David G.A. Williams's work include Cardiac, Anesthesia and Surgical Outcomes (8 papers), Enhanced Recovery After Surgery (8 papers) and Nutrition and Health in Aging (8 papers). David G.A. Williams is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (8 papers), Enhanced Recovery After Surgery (8 papers) and Nutrition and Health in Aging (8 papers). David G.A. Williams collaborates with scholars based in United States, Netherlands and United Kingdom. David G.A. Williams's co-authors include Paul E. Wischmeyer, Jeroen Molinger, Timothy E. Miller, Erin Manning, Michael W. Manning, Elena Koepke, Richard F. Howard, Krista Haines, Karthik Raghunathan and Vijay Krishnamoorthy and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Anaesthesia and Clinical Nutrition.

In The Last Decade

David G.A. Williams

16 papers receiving 414 citations

Peers

David G.A. Williams
Comparison fields: 5 of 62
  • Surgery 313
  • Physiology 187
  • Cardiology and Cardiovascular Medicine 123
  • Nutrition and Dietetics 75
  • Anesthesiology and Pain Medicine 71
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Paul Hendry United Kingdom View profile →
Citations per field, relative to David G.A. Williams
David G.A. Williams · 1×
Citations per year, relative to David G.A. Williams
David G.A. Williams · 1×

Countries citing papers authored by David G.A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by David G.A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G.A. Williams

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 19
2 7
3 25
4 22
5 15
6 18
7 16
8 29
9 11
10 100
11 20
12 12
13 1
14 103
15 2
16 23
17 0

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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