P. Nye

533 citations
13 papers · 446 · h-index 11

Impact in

    • Tuberculosis Research and Epidemiology
    • Leprosy Research and Treatment
  • Epidemiology top 10%
    • Mycobacterium research and diagnosis
    • Pneumocystis jirovecii pneumonia detection and treatment

Papers in

    • Tuberculosis Research and Epidemiology 8
    • Leprosy Research and Treatment 4
    • Mycobacterium research and diagnosis 9
    • Pneumocystis jirovecii pneumonia detection and treatment 1

P. Nye

13 papers receiving 402 citations

Peers

P. Nye
Comparison fields: 5 of 61
  • Infectious Diseases 309
  • Epidemiology 256
  • Microbiology 50
  • Parasitology 22
  • Microbiology 2
Replace Owen Billington with:
Owen Billington United Kingdom
V.M. Katoch India
M. Y. L. De Wit Netherlands
J. Varela Spain
Didi Bang Denmark
Catherine A. Cosgrove United Kingdom
A Labidi United States
F March Spain
Alice Halliday United Kingdom
Melles Haile Sweden
P. Nye relative to Owen Billington United Kingdom Owen Billington's profile →
Citations per field
00.5×4.2×
Owen Billington · 1×
Citations per year

Countries citing papers authored by P. Nye

Since Specialization
Citations

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

Fields of papers citing papers by P. Nye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1993127
2 199856
3
Rapid screening of Mycobacterium tuberculosis for susceptibility to rifampicin and streptomycin.
200052
4 199452
5 198131
6 199629
7 198324
8 199620
9 199120
10 198617
11 198411
12 19955
13 19922

About P. Nye

P. Nye is a scholar working on Infectious Diseases, Epidemiology, Ecology, Organic Chemistry and Surgery, having authored 13 papers that have together received 446 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (9 papers), Tuberculosis Research and Epidemiology (8 papers), Leprosy Research and Treatment (4 papers), Bacteriophages and microbial interactions (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Diagnosis and treatment of tuberculosis (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Infectious Diseases (309 citations), Epidemiology (256 citations), Microbiology (50 citations), Parasitology (22 citations) and Microbiology (2 citations). P. Nye has collaborated with scholars based in United Kingdom, United States and Ethiopia. Frequent co-authors include Ruth McNerney, Neil G. Stoker, Stuart M. Wilson, John Holton, A. Voller, Peter Godfrey‐Faussett, Vincent McDonald, G.A.W. Rook, Photini Kiepiela and Karen Bishop. Their work appears in journals such as Leprosy Review, Journal of Hospital Infection, Journal of Infection, Research in Microbiology and Journal of Clinical Microbiology.

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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