E. Lynne Williams

24 total papers · 862 total citations
11 papers, 607 citations indexed

About

E. Lynne Williams is a scholar working on Surgery, Molecular Biology and Anesthesiology and Pain Medicine. According to data from OpenAlex, E. Lynne Williams has authored 11 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Molecular Biology and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in E. Lynne Williams's work include vaccines and immunoinformatics approaches (2 papers), Airway Management and Intubation Techniques (2 papers) and Immunotherapy and Immune Responses (2 papers). E. Lynne Williams is often cited by papers focused on vaccines and immunoinformatics approaches (2 papers), Airway Management and Intubation Techniques (2 papers) and Immunotherapy and Immune Responses (2 papers). E. Lynne Williams collaborates with scholars based in United States, Belgium and Netherlands. E. Lynne Williams's co-authors include Kathy Hildebrand, Vladimir Brusić, Hassane M. Zarour, John M. Kirkwood, Walter J. Storkus, Meng Li, Bernard Maillère, Jaafar Bennouna, Florence Castelli and Stephanie R. Land and has published in prestigious journals such as Anesthesiology, Anesthesia & Analgesia and Canadian Journal of Anesthesia/Journal canadien d anesthésie.

In The Last Decade

E. Lynne Williams

10 papers receiving 588 citations

Author Peers

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

Author Last Decade Papers Cites
E. Lynne Williams 209 205 155 147 147 11 607
Kelli Harmon 243 1.2× 97 0.5× 84 0.5× 119 0.8× 134 0.9× 15 643
Kim Timmermans 101 0.5× 242 1.2× 79 0.5× 185 1.3× 67 0.5× 14 641
W. O. Schreuder 110 0.5× 155 0.8× 136 0.9× 53 0.4× 62 0.4× 16 618
M. van der Heijden 59 0.3× 75 0.4× 122 0.8× 180 1.2× 129 0.9× 16 607
Hanna Dückers 64 0.3× 76 0.4× 92 0.6× 78 0.5× 79 0.5× 10 576
Oliver K. Eberhard 79 0.4× 86 0.4× 125 0.8× 56 0.4× 137 0.9× 14 599
Peter Schnülle 322 1.5× 62 0.3× 148 1.0× 40 0.3× 80 0.5× 22 689
Joke van der Linden 153 0.7× 108 0.5× 164 1.1× 160 1.1× 21 0.1× 23 652
William R. Zhang 320 1.5× 44 0.2× 134 0.9× 79 0.5× 55 0.4× 13 603
Suroj Supavekin 471 2.3× 47 0.2× 115 0.7× 119 0.8× 109 0.7× 17 641

Countries citing papers authored by E. Lynne Williams

Since Specialization
Citations

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

Fields of papers citing papers by E. Lynne Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Lynne Williams

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