Joann L. Data
Impact in
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
-
- Neuroscience and Neuropharmacology Research
Papers in
-
- Pharmacogenetics and Drug Metabolism 3
- Inflammatory mediators and NSAID effects 3
- Antibiotics Pharmacokinetics and Efficacy 2
- Co-authors
- Alan S. Nies (5 shared papers)Edward P. Monaghan (2 shared papers)G. Wilkinson (1 shared paper)James W. McAuley (1 shared paper)J G Gerber (2 shared papers)Jürgen C. Frölich (1 shared paper)William J. Crump (1 shared paper)John W. Hollifield (1 shared paper)
- Journals
- Circulation Research (2 papers)Epilepsia (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Annals of Internal Medicine (1 paper)The Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Joann L. Data
12 papers receiving 487 citations
Peers
Comparison fields: 5 of 88
- Biochemistry 77
- Cellular and Molecular Neuroscience 144
- Psychiatry and Mental health 101
- Pharmacology 108
- Pharmacology 54
Countries citing papers authored by Joann L. Data
This map shows the geographic impact of Joann L. Data'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 Joann L. Data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joann L. Data more than expected).
Fields of papers citing papers by Joann L. Data
This network shows the impact of papers produced by Joann L. Data. 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 Joann L. Data. The network helps show where Joann L. Data may publish in the future.
Co-authors
The 25 scholars most cited alongside Joann L. Data, 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 | 2000 | 84 | |
| 2 | 1976 | 82 | |
| 3 | 1978 | 81 | |
| 4 | 1999 | 67 | |
| 5 | 1999 | 56 | |
| 6 | 1978 | 51 | |
| 7 | 1974 | 33 | |
| 8 | 2005 | 32 | |
| 9 | 1978 | 24 | |
| 10 | 1978 | 14 | |
| 11 | 1981 | 7 | |
| 12 | Re-engineering drug development: integrating pharmacoeconomic research into the drug development process. | 1995 | 7 |
About Joann L. Data
Joann L. Data is a scholar working on Pharmacology, Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 538 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Inflammatory mediators and NSAID effects (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Epilepsy research and treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pancreatic function and diabetes (1 paper) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Biochemistry (77 citations), Cellular and Molecular Neuroscience (144 citations), Psychiatry and Mental health (101 citations), Pharmacology (108 citations) and Pharmacology (54 citations). Joann L. Data has collaborated with scholars based in United States and Sweden. Frequent co-authors include Alan S. Nies, Edward P. Monaghan, G. Wilkinson, James W. McAuley, J G Gerber, Jürgen C. Frölich, William J. Crump, John W. Hollifield, M.J. Whitehouse and Martha J. Morrell. Their work appears in journals such as Circulation Research, Epilepsia, Journal of Pharmacology and Experimental Therapeutics, Annals of Internal Medicine and The Journal of Clinical Pharmacology.
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.