David E. Harbourt
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Infection Control in Healthcare 2
- Viral gastroenteritis research and epidemiology 2
- Viral Infections and Vectors 2
-
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Philip C. Smith (3 shared papers)Joseph K. Ritter (2 shared papers)John K. Fallon (2 shared papers)Gary L. Glish (1 shared paper)Takashi Baba (1 shared paper)Shinya Ito (1 shared paper)Andrew D. Haddow (3 shared papers)Holly Bloomfield (3 shared papers)
- Journals
- American Journal of Tropical Medicine and Hygiene (2 papers)The Journal of Infectious Diseases (1 paper)Toxicological Sciences (1 paper)PLoS neglected tropical diseases (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
David E. Harbourt
11 papers receiving 499 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 197
- Modeling and Simulation 26
- General Dentistry 7
- Infectious Diseases 76
- Oncology 107
Countries citing papers authored by David E. Harbourt
This map shows the geographic impact of David E. Harbourt'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 David E. Harbourt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Harbourt more than expected).
Fields of papers citing papers by David E. Harbourt
This network shows the impact of papers produced by David E. Harbourt. 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 David E. Harbourt. The network helps show where David E. Harbourt may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Harbourt, 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 | 2011 | 147 | |
| 2 | 2009 | 137 | |
| 3 | 2020 | 101 | |
| 4 | 2010 | 48 | |
| 5 | 2008 | 40 | |
| 6 | 2019 | 12 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 3 | |
| 10 | 2016 | 3 | |
| 11 | 2017 | 2 | |
| 12 | 2019 | 0 |
About David E. Harbourt
David E. Harbourt is a scholar working on Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Pharmacology, having authored 12 papers that have together received 509 indexed citations. Recurring topics across this work include Infection Control and Ventilation (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Infection Control in Healthcare (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Vectors (2 papers), Metabolism and Genetic Disorders (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Pharmacology (197 citations), Modeling and Simulation (26 citations), General Dentistry (7 citations), Infectious Diseases (76 citations) and Oncology (107 citations). David E. Harbourt has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Philip C. Smith, Joseph K. Ritter, John K. Fallon, Gary L. Glish, Takashi Baba, Shinya Ito, Andrew D. Haddow, Holly Bloomfield, Kathleen Gibson and Ashley E. Piper. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, Toxicological Sciences, PLoS neglected tropical diseases and Analytical 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.