Duncan Webster

2.2k citations
70 papers · 1.1k · h-index 19

Impact in

Papers in

    • Mycobacterium research and diagnosis 7
    • Infective Endocarditis Diagnosis and Management 5
    • HIV, Drug Use, Sexual Risk 5
    • Tuberculosis Research and Epidemiology 9
    • Viral Infections and Vectors 8

Duncan Webster

64 papers receiving 1.1k citations

Peers

Duncan Webster
Comparison fields: 5 of 115
  • Infectious Diseases 255
  • Drug Discovery 2
  • Toxicology 39
  • Endocrinology 48
  • Parasitology 58
Replace Luana Rossato with:
Luana Rossato Brazil
Jules Clément Nguedia Assob Cameroon
Latif Gachkar Iran
Eirini Christaki Greece
Sung‐Yeon Cho South Korea
Qingqing Wang China
Nilima Kshirsagar India
Johnson Adekunle Adeniji Nigeria
Chun‐Yu Lin Taiwan
José Antonio Lepe Spain
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Citations per field
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Citations per year

Countries citing papers authored by Duncan Webster

Since Specialization
Citations

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

Fields of papers citing papers by Duncan Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Duncan Webster, 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 Duncan Webster Line = papers co-authored together Duncan Webster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007156
2 201367
3 201261
4 201751
5 201745
6 201244
7 201341
8 201936
9 202036
10 201035
11 200632
12 201530
13 202027
14 201426
15 201026
16 200621
17 201220
18 200618
19 201718
20 201718

About Duncan Webster

Duncan Webster is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health and Surgery, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), Opioid Use Disorder Treatment (8 papers), Natural product bioactivities and synthesis (8 papers), Viral Infections and Vectors (8 papers), Mycobacterium research and diagnosis (7 papers), Microbial Natural Products and Biosynthesis (5 papers), Infective Endocarditis Diagnosis and Management (5 papers) and HIV, Drug Use, Sexual Risk (5 papers). The work is most often cited by research in Infectious Diseases (255 citations), Drug Discovery (2 citations), Toxicology (39 citations), Endocrinology (48 citations) and Parasitology (58 citations). Duncan Webster has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Christopher A. Gray, John A. Johnson, Robert Rennie, Crystal Sand, René J. Belland, Thomas D. Brothers, Edward J. Reardon, Todd F. Hatchette, Gilles A. Robichaud and Thomas Pulinilkunnil. Their work appears in journals such as Journal of Ethnopharmacology, Canadian Medical Association Journal, Canada Communicable Disease Report, American Journal of Tropical Medicine and Hygiene and Natural Product Communications.

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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