T. J. Hellyer
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Epidemiology top 10%
- Mycobacterium research and diagnosis
- Pneumocystis jirovecii pneumonia detection and treatment
Papers in
- Epidemiology 12
- Mycobacterium research and diagnosis 11
- Pneumonia and Respiratory Infections 1
-
- Tuberculosis Research and Epidemiology 9
- Co-authors
- M. Donald Cave (4 shared papers)Kathleen D. Eisenach (4 shared papers)Lucy E. DesJardin (3 shared papers)I.N. Brown (6 shared papers)James G. Nadeau (2 shared papers)Joseph H. Bates (2 shared papers)Gery Hehman (1 shared paper)Jeremy W. Dale (2 shared papers)
- Journals
- Journal of Clinical Microbiology (3 papers)Clinical Chemistry (1 paper)Research in Microbiology (1 paper)Journal of Medical Microbiology (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
T. J. Hellyer
15 papers receiving 524 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 328
- Epidemiology 339
- Small Animals 30
- Molecular Medicine 19
- Surgery 152
Countries citing papers authored by T. J. Hellyer
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 105 | |
| 2 | 1996 | 74 | |
| 3 | 1996 | 65 | |
| 4 | 1999 | 55 | |
| 5 | 1994 | 53 | |
| 6 | 2004 | 52 | |
| 7 | 1990 | 50 | |
| 8 | 1993 | 30 | |
| 9 | 1991 | 25 | |
| 10 | 1992 | 17 | |
| 11 | 1996 | 17 | |
| 12 | 2003 | 14 | |
| 13 | 2003 | 7 | |
| 14 | 1996 | 4 | |
| 15 | Detection of Mycoplasma pneumoniae by Strand Displacement Amplification on the BDProbeTec ™ ET System | 2000 | 1 |
About T. J. Hellyer
T. J. Hellyer is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Ecology and Surgery, having authored 15 papers that have together received 569 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (11 papers), Tuberculosis Research and Epidemiology (9 papers), Bacteriophages and microbial interactions (3 papers), HIV Research and Treatment (2 papers), Antibiotic Resistance in Bacteria (2 papers), Bacterial Infections and Vaccines (1 paper), Pneumonia and Respiratory Infections (1 paper) and Microbial infections and disease research (1 paper). The work is most often cited by research in Infectious Diseases (328 citations), Epidemiology (339 citations), Small Animals (30 citations), Molecular Medicine (19 citations) and Surgery (152 citations). T. J. Hellyer has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include M. Donald Cave, Kathleen D. Eisenach, 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, Clinical Chemistry, Research in Microbiology, Journal of Medical Microbiology and The Journal of 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.