Wendy A. Findlay

29 total papers · 1.1k total citations
23 papers, 749 citations indexed

About

Wendy A. Findlay is a scholar working on Molecular Biology, Immunology and Ecology. According to data from OpenAlex, Wendy A. Findlay has authored 23 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Ecology. Recurrent topics in Wendy A. Findlay's work include RNA and protein synthesis mechanisms (5 papers), Salmonella and Campylobacter epidemiology (3 papers) and Microbial infections and disease research (3 papers). Wendy A. Findlay is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Salmonella and Campylobacter epidemiology (3 papers) and Microbial infections and disease research (3 papers). Wendy A. Findlay collaborates with scholars based in Canada, United States and Norway. Wendy A. Findlay's co-authors include Peter M. Bayley, Stephen R. Martin, John H. E. Nash, Rosemary J. Redfield, Eduardo N. Taboada, Brian D. Sykes, Catherine D. Carrillo, Oksana Mykytczuk, J. Simon Kroll and Janine T. Bossé and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Wendy A. Findlay

23 papers receiving 718 citations

Author Peers

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

Author Last Decade Papers Cites
Wendy A. Findlay 378 197 197 130 106 23 749
Lucy K. Shewell 360 1.0× 115 0.6× 183 0.9× 107 0.8× 110 1.0× 20 759
Denis Tielker 613 1.6× 115 0.6× 72 0.4× 151 1.2× 126 1.2× 15 868
Christopher A. Beaudoin 447 1.2× 107 0.5× 97 0.5× 197 1.5× 55 0.5× 18 885
Johann Mignolet 381 1.0× 121 0.6× 154 0.8× 84 0.6× 80 0.8× 25 645
Tokumitsu Tanaka 452 1.2× 167 0.8× 86 0.4× 89 0.7× 56 0.5× 28 803
TuAnh N. Huynh 504 1.3× 103 0.5× 76 0.4× 113 0.9× 97 0.9× 18 739
Jan Gundlach 488 1.3× 119 0.6× 84 0.4× 118 0.9× 91 0.9× 14 769
Marie-France Karwaski 441 1.2× 126 0.6× 276 1.4× 193 1.5× 38 0.4× 12 895
John L. Johnson 306 0.8× 142 0.7× 175 0.9× 61 0.5× 21 0.2× 22 669
Marian Price-Carter 434 1.1× 69 0.4× 84 0.4× 207 1.6× 71 0.7× 25 734

Countries citing papers authored by Wendy A. Findlay

Since Specialization
Citations

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

Fields of papers citing papers by Wendy A. Findlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wendy A. Findlay. 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 Wendy A. Findlay. The network helps show where Wendy A. Findlay may publish in the future.

Co-authorship network of co-authors of Wendy A. Findlay

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