G A FitzGerald
- Pharmacology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Biochemistry top 2%
- Molecular Biology
- Physiology
- Co-authors
- John A. LawsonFrancesca CatellaDaniel P. HealyColin FunkLucinda FurciD J FitzgeraldJames R. DaughertyA. K. Pedersen
- Topics
- Inflammatory mediators and NSAID effects (7 papers)Eicosanoids and Hypertension Pharmacology (5 papers)Antiplatelet Therapy and Cardiovascular Diseases (3 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
G A FitzGerald
14 papers receiving 847 citations
Peers
Comparison fields: 5 of 82
- Pharmacology 329
- Cardiology and Cardiovascular Medicine 294
- Biochemistry 198
- Molecular Biology 180
- Physiology 136
Countries citing papers authored by G A FitzGerald
This map shows the geographic impact of G A FitzGerald'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 G A FitzGerald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G A FitzGerald more than expected).
Fields of papers citing papers by G A FitzGerald
This network shows the impact of papers produced by G A FitzGerald. 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 G A FitzGerald. The network helps show where G A FitzGerald may publish in the future.
Co-authorship network of co-authors of G A FitzGerald
This figure shows the co-authorship network connecting the top 25 collaborators of G A FitzGerald. A scholar is included among the top collaborators of G A FitzGerald based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G A FitzGerald. G A FitzGerald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Physiological formation of 8-epi-PGF2 alpha in vivo is not affected by cyclooxygenase inhibition. | 3 |
| 2 | 83 | |
| 3 | Prostacyclin and prostaglandin E1: molecular mechanisms and therapeutic utility. | 35 |
| 4 | Biosynthesis of P450 products of arachidonic acid in humans: increased formation in cardiovascular disease. | 5 |
| 5 | 149 | |
| 6 | 70 | |
| 7 | Differential prostacyclin production by human umbilical vasculature. | 6 |
| 8 | Thromboxane A2 biosynthesis in human disease. | 87 |
| 9 | 229 | |
| 10 | 30 | |
| 11 | 54 | |
| 12 | 78 | |
| 13 | 55 | |
| 14 | 4 |
About G A FitzGerald
G A FitzGerald is a scholar working on Biochemistry, Pharmacology and Pharmacology, having authored 14 papers that have together received 888 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Eicosanoids and Hypertension Pharmacology (5 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Biochemistry (198 citations), Pharmacology (329 citations) and Internal Medicine (64 citations). G A FitzGerald has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include John A. Lawson, Francesca Catella, Daniel P. Healy, Colin Funk, Lucinda Furci, D J Fitzgerald, James R. Daugherty, A. K. Pedersen, L. Le Roy and Rose Marie Robertson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.