Matthew Smith

23 papers receiving 355 citations

Peers

Matthew Smith
Comparison fields: 5 of 87
  • Applied Microbiology and Biotechnology 10
  • Aquatic Science 30
  • Business and International Management 8
  • Architecture 5
  • Infectious Diseases 48
Replace Shiva Bhandari with:
Shiva Bhandari United States
Peter S. Larson United States
Renan Marrichi Mauch Brazil
L. Scott Benson United States
Bryan O. Nyawanda Kenya
Christian Kraef Denmark
Antonella Rossati Italy
Jantien W. Wieringa Netherlands
Adeline Bernier France
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Smith

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Induction of pro- and anti-inflammatory molecules in a mouse model of pneumococcal pneumonia after influenza.
2007105
2 201774
3 201772
4 202330
5 202313
6 202413
7 202310
8 20218
9 19946
10 20125
11 20244
12 20244
13
V-Series (Ve, Vg, Vm, Vx) Toxicity
20193
14 20133
15 20092
16 20222
17 20212
18 20221
19 20241
20 20231

About Matthew Smith

Matthew Smith is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Emergency Medicine and Emergency Medical Services, having authored 24 papers that have together received 362 indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (3 papers), Disaster Management and Resilience (2 papers), Urinary Tract Infections Management (2 papers), Antibiotic Resistance in Bacteria (2 papers), Antibiotic Use and Resistance (2 papers), Disaster Response and Management (2 papers), Healthcare and Environmental Waste Management (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (10 citations), Aquatic Science (30 citations), Business and International Management (8 citations), Architecture (5 citations) and Infectious Diseases (48 citations). Matthew Smith has collaborated with scholars based in United States and Australia. Frequent co-authors include Jeffrey E. Schmidt, Jonathan A. McCullers, Carlos J. Orihuela, Jerold E. Rehg, Philip W. Smith, Christopher J. Kratochvil, Shelly Schwedhelm, Jodi D. Sherman, Hardeep Singh and Edward H. Allison. Their work appears in journals such as Infection Control and Hospital Epidemiology, Journal of Engineering Education, Frontiers in Marine Science, Health Security and The American Journal of Emergency Medicine.

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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