David Creely
Impact in
- Pharmacology top 5%
- Inflammatory mediators and NSAID effects
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotics Pharmacokinetics and Efficacy 3
- Pharmacogenetics and Drug Metabolism 1
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- Antibiotic Resistance in Bacteria 4
- Co-authors
- Peter C. Isakson (2 shared papers)Scott D. Hauser (2 shared papers)Karen Seibert (1 shared paper)Shaukat H. Rangwala (1 shared paper)James K. Gierse (1 shared paper)Carol M. Koboldt (1 shared paper)Gwen G. Krivi (2 shared papers)D. Welsch (1 shared paper)
- Journals
- Journal of Clinical Microbiology (2 papers)Journal of Biological Chemistry (1 paper)International Journal of Antimicrobial Agents (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
David Creely
10 papers receiving 697 citations
Peers
Comparison fields: 5 of 91
- Pharmacology 299
- Molecular Medicine 91
- Biochemistry 81
- Applied Microbiology and Biotechnology 11
- Immunology 120
Countries citing papers authored by David Creely
This map shows the geographic impact of David Creely'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 Creely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Creely more than expected).
Fields of papers citing papers by David Creely
This network shows the impact of papers produced by David Creely. 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 Creely. The network helps show where David Creely may publish in the future.
Co-authors
The 25 scholars most cited alongside David Creely, 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 | 1995 | 349 | |
| 2 | 2002 | 115 | |
| 3 | 1994 | 104 | |
| 4 | 2018 | 56 | |
| 5 | 2017 | 47 | |
| 6 | 1995 | 26 | |
| 7 | 2013 | 15 | |
| 8 | 2014 | 10 | |
| 9 | 2013 | 7 | |
| 10 | 2009 | 4 |
About David Creely
David Creely is a scholar working on Pharmacology, Molecular Medicine, Pollution, Molecular Biology and Epidemiology, having authored 10 papers that have together received 733 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Glutathione Transferases and Polymorphisms (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), NF-κB Signaling Pathways (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Pharmacology (299 citations), Molecular Medicine (91 citations), Biochemistry (81 citations), Applied Microbiology and Biotechnology (11 citations) and Immunology (120 citations). David Creely has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Peter C. Isakson, Scott D. Hauser, Karen Seibert, Shaukat H. Rangwala, James K. Gierse, Carol M. Koboldt, Gwen G. Krivi, D. Welsch, Karl J. Mathis and Dee Shortridge. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Biological Chemistry, International Journal of Antimicrobial Agents, Antimicrobial Agents and Chemotherapy and Biochemical Journal.
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.