Liam McIntyre

659 citations
10 papers · 245 · h-index 8

Impact in

Papers in

Liam McIntyre

10 papers receiving 242 citations

Peers

Liam McIntyre
Comparison fields: 5 of 64
  • Clinical Biochemistry 44
  • Infectious Diseases 107
  • Public Health, Environmental and Occupational Health 138
  • Microbiology 17
  • Modeling and Simulation 9
Replace Magnus G. Jespersen with:
Magnus G. Jespersen Australia
João Rodrigues Portugal
Amber Vasquez United States
Émilie Camiade France
Grace Kwan Hong Kong
J. C. Sinnige Netherlands
Bodie F. Curren Australia
Т. В. Припутневич Russia
Shazia Tabassum Hakim Pakistan
Anne‐Sophie Alvarez France
Liam McIntyre relative to Magnus G. Jespersen Australia Magnus G. Jespersen's profile →
Citations per field
00.5×4.5×
Magnus G. Jespersen · 1×
Citations per year

Countries citing papers authored by Liam McIntyre

Since Specialization
Citations

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

Fields of papers citing papers by Liam McIntyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201864
2 202050
3 202044
4 201925
5 201921
6 201915
7 201812
8 20208
9 20153
10 20163

About Liam McIntyre

Liam McIntyre is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Virology and Epidemiology, having authored 10 papers that have together received 245 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (8 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Rabies epidemiology and control (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Inflammasome and immune disorders (2 papers), Bartonella species infections research (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Clinical Biochemistry (44 citations), Infectious Diseases (107 citations), Public Health, Environmental and Occupational Health (138 citations), Microbiology (17 citations) and Modeling and Simulation (9 citations). Liam McIntyre has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Mark R. Davies, Mark J. Walker, Yuanhai You, Jianzhong Zhang, Melinda M. Protani, Stephan Brouwer, Cheryl‐lynn Y. Ong, Kate A. Worthing, Karrera Y. Djoko and Tania Rivera-Hernández. Their work appears in journals such as Clinical Infectious Diseases, mBio, Nature Communications, Veterinary Microbiology and EBioMedicine.

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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