John Parker‐Williams

18 total papers · 430 total citations
10 papers, 267 citations indexed

About

John Parker‐Williams is a scholar working on Physiology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, John Parker‐Williams has authored 10 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Artificial Intelligence and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in John Parker‐Williams's work include Clinical Laboratory Practices and Quality Control (3 papers), Malaria Research and Control (2 papers) and AI in cancer detection (2 papers). John Parker‐Williams is often cited by papers focused on Clinical Laboratory Practices and Quality Control (3 papers), Malaria Research and Control (2 papers) and AI in cancer detection (2 papers). John Parker‐Williams collaborates with scholars based in United Kingdom, Canada and Malaysia. John Parker‐Williams's co-authors include David Bevan, Derek C. Macallan, Rainer Zerback, G Lutze, A M H P van den Besselaar, Uwe Taborski, G Vogel, Daniella Chilton, Nicole Casadevall and Tim Planche and has published in prestigious journals such as PLoS ONE, Intensive Care Medicine and British Journal of Haematology.

In The Last Decade

John Parker‐Williams

10 papers receiving 256 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 Parker‐Williams 104 51 47 45 39 10 267
Nikhil Kadam 98 0.9× 95 1.9× 18 0.4× 11 0.2× 15 0.4× 9 242
Andrew Osei-Bimpong 22 0.2× 16 0.3× 14 0.3× 76 1.7× 74 1.9× 9 279
Kris Vernelen 75 0.7× 76 1.5× 7 0.1× 30 0.7× 23 0.6× 15 251
Pedro Ramalho 14 0.1× 29 0.6× 21 0.4× 11 0.2× 18 0.5× 8 309
Massimo Giola 98 0.9× 12 0.2× 77 1.6× 17 0.4× 17 0.4× 15 293
Christie L. Boils 39 0.4× 10 0.2× 26 0.6× 21 0.5× 29 0.7× 11 289
Danilo Medina Giron 32 0.3× 6 0.1× 6 0.1× 148 3.3× 15 0.4× 8 299
Jo Anne Chiavetta 43 0.4× 13 0.3× 18 0.4× 47 1.0× 10 0.3× 9 307
Severien Meyers 67 0.6× 39 0.8× 57 1.2× 16 0.4× 6 0.2× 8 250
Alok Srivastava 59 0.6× 7 0.1× 21 0.4× 144 3.2× 19 0.5× 11 298

Countries citing papers authored by John Parker‐Williams

Since Specialization
Citations

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

Fields of papers citing papers by John Parker‐Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Parker‐Williams

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