T. J. Hellyer

726 citations
14 papers · 530 indexed · h-index 12

Impact in

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

Papers in

T. J. Hellyer

14 papers receiving 497 citations

Peers

T. J. Hellyer
Comparison fields: 5 of 62
  • Infectious Diseases 336
  • Epidemiology 358
  • Molecular Medicine 21
  • Small Animals 30
  • Surgery 168
Replace L. Teixeira with:
L. Teixeira Brazil
K. J. Forbes United Kingdom
Christine Doig United Kingdom
P. Nye United Kingdom
Nancimae Miller United States
C E Musial United States
Michel Tibayrenc France
V.M. Katoch India
Solvig Roring United Kingdom
Anabela Miranda Portugal
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Citations per field
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L. Teixeira · 1×
Citations per year

Countries citing papers authored by T. J. Hellyer

Since Specialization
Citations

This map shows the geographic impact of T. J. Hellyer'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 T. J. Hellyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Hellyer more than expected).

Fields of papers citing papers by T. J. Hellyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. J. Hellyer. 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 T. J. Hellyer. The network helps show where T. J. Hellyer may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 199999
2 199672
3 199663
4 199451
5 199949
6 199047
7 200446
8 199328
9 199123
10 199217
11 199615
12 200313
13 20036
14
Detection of Mycoplasma pneumoniae by Strand Displacement Amplification on the BDProbeTec ™ ET System
20001

About T. J. Hellyer

T. J. Hellyer is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Ecology and Virology, having authored 14 papers that have together received 530 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (11 papers), Tuberculosis Research and Epidemiology (10 papers), Bacteriophages and microbial interactions (3 papers), HIV Research and Treatment (2 papers), Antibiotic Resistance in Bacteria (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Quinazolinone synthesis and applications (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (336 citations), Epidemiology (358 citations), Molecular Medicine (21 citations), Small Animals (30 citations) and Surgery (168 citations). T. J. Hellyer has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Kathleen D. Eisenach, M. Donald Cave, Lucy E. DesJardin, I.N. Brown, James G. Nadeau, Joseph H. Bates, Gery Hehman, Jeremy W. Dale, C S Easmon and N.G. Fomukong. Their work appears in journals such as Journal of Clinical Microbiology, Molecular Microbiology, Thorax, Expert Review of Molecular Diagnostics and Clinical Chemistry.

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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