John Wylie

120 total papers · 3.0k total citations
86 papers, 2.2k citations indexed

About

John Wylie is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, John Wylie has authored 86 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Epidemiology, 31 papers in Microbiology and 29 papers in Infectious Diseases. Recurrent topics in John Wylie's work include HIV, Drug Use, Sexual Risk (22 papers), Reproductive tract infections research (18 papers) and HIV/AIDS Research and Interventions (18 papers). John Wylie is often cited by papers focused on HIV, Drug Use, Sexual Risk (22 papers), Reproductive tract infections research (18 papers) and HIV/AIDS Research and Interventions (18 papers). John Wylie collaborates with scholars based in Canada, United States and Colombia. John Wylie's co-authors include Ann Jolly, David J. Currie, Elizabeth A. Worobec, Grant McClarty, Lena Shah, Grant M. Hatch, Raymond S. W. Tsang, Linda Hoang, Souradet Y. Shaw and Teresa Cabral and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

John Wylie

86 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
John Wylie 842 752 560 352 269 86 2.2k
Motiur Rahman 887 1.1× 551 0.7× 572 1.0× 415 1.2× 193 0.7× 106 2.6k
Carolyn Deal 1.3k 1.5× 1.2k 1.6× 500 0.9× 486 1.4× 228 0.8× 68 2.8k
James W. Moulder 1.0k 1.2× 1.4k 1.9× 541 1.0× 549 1.6× 97 0.4× 76 2.5k
J. Simon Kroll 1.1k 1.3× 891 1.2× 436 0.8× 962 2.7× 96 0.4× 64 3.3k
Béatrice Berçot 708 0.8× 543 0.7× 396 0.7× 379 1.1× 80 0.3× 98 2.1k
Piet Cools 734 0.9× 864 1.1× 195 0.3× 387 1.1× 189 0.7× 90 1.8k
Marleen M. Kock 460 0.5× 504 0.7× 441 0.8× 435 1.2× 84 0.3× 83 1.9k
William A. Bower 1.0k 1.2× 288 0.4× 892 1.6× 589 1.7× 121 0.4× 81 2.8k
J S Knapp 765 0.9× 2.0k 2.7× 350 0.6× 295 0.8× 145 0.5× 61 2.6k
Ashleigh R. Tuite 979 1.2× 290 0.4× 1.2k 2.1× 275 0.8× 285 1.1× 124 3.3k

Countries citing papers authored by John Wylie

Since Specialization
Citations

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

Fields of papers citing papers by John Wylie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Wylie. 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 John Wylie. The network helps show where John Wylie may publish in the future.

Co-authorship network of co-authors of John Wylie

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