David B. Haughey
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 6
- Antibiotics Pharmacokinetics and Efficacy 4
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism 6
- Antibiotics Pharmacokinetics and Efficacy 4
- Analytical Chemistry top 10%
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- Pharmacological Effects and Toxicity Studies 3
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- Metabolism and Genetic Disorders 3
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- Antimicrobial Resistance in Staphylococcus 3
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- Thermoregulation and physiological responses 3
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- Amino Acid Enzymes and Metabolism 2
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- Muscle metabolism and nutrition 2
- Co-authors
- Mario L. RocciW J JuskoPaula JardieuViswanath DevanarayanWilliam J. JuskoJohn J. LimaJoseph BertinoJerome J. Schentag
- Cited by
- PharmacologyAnalytical Chemistry
- Journals
- SHILAP Revista de lepidopterología (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
David B. Haughey
33 papers receiving 568 citations
Peers
Comparison fields: 5 of 94
- Pharmacology 120
- Pharmacology 128
- Analytical Chemistry 58
- Behavioral Neuroscience 16
- Pediatrics, Perinatology and Child Health 86
Countries citing papers authored by David B. Haughey
This map shows the geographic impact of David B. Haughey'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 B. Haughey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David B. Haughey more than expected).
Fields of papers citing papers by David B. Haughey
This network shows the impact of papers produced by David B. Haughey. 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 B. Haughey. The network helps show where David B. Haughey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David B. Haughey, 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 | 2025 | 0 | |
| 2 | 2020 | 2 | |
| 3 | 2014 | 8 | |
| 4 | 2014 | 16 | |
| 5 | 2014 | 5 | |
| 6 | 2010 | 27 | |
| 7 | 2007 | 9 | |
| 8 | 2007 | 107 | |
| 9 | 1994 | 15 | |
| 10 | 1992 | 23 | |
| 11 | 1992 | 16 | |
| 12 | 1991 | 7 | |
| 13 | 1988 | 2 | |
| 14 | 1988 | 2 | |
| 15 | 1985 | 31 | |
| 16 | 1985 | 2 | |
| 17 | 1985 | 12 | |
| 18 | 1984 | 1 | |
| 19 | 1981 | 12 | |
| 20 | 1980 | 27 |
About David B. Haughey
David B. Haughey is a scholar working on Pharmacology, Clinical Biochemistry and Pharmacology, having authored 34 papers that have together received 611 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Metabolism and Genetic Disorders (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Thermoregulation and physiological responses (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Pharmacology (120 citations), Pharmacology (128 citations) and Analytical Chemistry (58 citations). David B. Haughey has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Mario L. Rocci, W J Jusko, Paula Jardieu, Viswanath Devanarayan, William J. Jusko, John J. Lima, Joseph Bertino, Jerome J. Schentag, J J Lima and Carl V. Leier. Their work appears in journals such as SHILAP Revista de lepidopterología, Antimicrobial Agents and Chemotherapy and Journal of Pharmacology and Experimental Therapeutics.
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.