John Williamson

2.7k citations
61 papers · 2.1k · h-index 24

Impact in

Papers in

John Williamson

58 papers receiving 1.9k citations

Peers

John Williamson
Comparison fields: 5 of 92
  • Applied Microbiology and Biotechnology 211
  • Parasitology 288
  • Infectious Diseases 495
  • Pharmacology 297
  • Critical Care and Intensive Care Medicine 70
Replace Nak‐Hyun Kim with:
Nak‐Hyun Kim South Korea
Urs Beat Schaad Switzerland
E. Dale Everett United States
R. Finch United Kingdom
David J. Ritchie United States
Tahaniyat Lalani United States
Marisa A. Montecalvo United States
Behzad Nadjm United Kingdom
Donald R. Graham United States
Hyun‐Ha Chang South Korea
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Citations per field
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Citations per year

Countries citing papers authored by John Williamson

Since Specialization
Citations

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

Fields of papers citing papers by John Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Williamson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Williamson Line = papers co-authored together John Williamson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005239
2 2007207
3 2006114
4 2007108
5 200588
6 200587
7 201582
8 202270
9 202259
10 201257
11 202353
12 200051
13 200948
14 201148
15 202248
16 202348
17 202344
18 200643
19 201339
20 201638

About John Williamson

John Williamson is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Molecular Medicine, Pharmacology and Epidemiology, having authored 61 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (11 papers), COVID-19 Clinical Research Studies (10 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Antibiotic Resistance in Bacteria (6 papers), Bacterial Identification and Susceptibility Testing (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Sepsis Diagnosis and Treatment (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (211 citations), Parasitology (288 citations), Infectious Diseases (495 citations), Pharmacology (297 citations) and Critical Care and Intensive Care Medicine (70 citations). John Williamson has collaborated with scholars based in United States, Bangladesh and France. Frequent co-authors include Christopher A. Ohl, James Wheeler Johnson, James R. Beardsley, William L. Salzer, D. Matthew Shoemaker, Vera P. Luther, Paul Samuel Pegram, Elizabeth L. Palavecino, Caryn Bern and Heather L. Cox. Their work appears in journals such as Annals of Pharmacotherapy, JAMA, JAMA Network Open, Open Forum Infectious Diseases and Clinical Infectious Diseases.

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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