Phillip Williamson

23 total papers · 472 total citations
9 papers, 76 citations indexed

About

Phillip Williamson is a scholar working on Infectious Diseases, Management of Technology and Innovation and Pathology and Forensic Medicine. According to data from OpenAlex, Phillip Williamson has authored 9 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 2 papers in Management of Technology and Innovation and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Phillip Williamson's work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and SARS-CoV-2 detection and testing (3 papers). Phillip Williamson is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and SARS-CoV-2 detection and testing (3 papers). Phillip Williamson collaborates with scholars based in United States, South Africa and Canada. Phillip Williamson's co-authors include B. Tindall, JM Kaldor, D. A. Cooper, Jonathan Elford, Eduard Grebe, Michael P. Busch, Mars Stone, Susan L. Stramer, Sonia Bakkour and Clara Di Germanio and has published in prestigious journals such as Blood, The Journal of Infectious Diseases and Journal of Applied Microbiology.

In The Last Decade

Phillip Williamson

9 papers receiving 75 citations

Author Peers

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

Author Last Decade Papers Cites
Phillip Williamson 57 22 16 13 10 9 76
Logan Fisher 24 0.4× 30 1.4× 50 3.1× 14 1.1× 7 0.7× 10 230
Joana Azevedo 16 0.3× 41 1.9× 12 0.8× 2 0.2× 3 0.3× 10 90
Gianluca Vergine 43 0.8× 70 3.2× 8 0.5× 3 0.2× 3 0.3× 10 230
Yaochang Yuan 90 1.6× 43 2.0× 15 0.9× 3 0.3× 13 222
G. Olin 62 1.1× 34 1.5× 13 0.8× 9 0.9× 13 228
Bryce Schuler 67 1.2× 32 1.5× 11 0.7× 4 0.4× 10 218
Anne-Maud Ferreira 126 2.2× 30 1.4× 10 0.6× 2 0.2× 9 272
Marie Koubi 156 2.7× 21 1.0× 26 1.6× 1 0.1× 4 0.4× 9 220
Jordi Casabona 37 0.6× 24 1.1× 9 0.6× 5 0.5× 8 64
Domenica Zaino 148 2.6× 36 1.6× 32 2.0× 8 0.8× 9 215

Countries citing papers authored by Phillip Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Williamson

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