David A. Griffith
- Molecular Biology top 10%
- Organic Chemistry top 2%
- Geriatrics and Gerontology top 0.5%
- Physiology top 10%
- Epidemiology top 10%
- Co-authors
- Samuel J. DanishefskyJane M. WithkaJohn E. BleasdaleJessica WardBoris A. ChrunykDavid CunninghamAlison E. VargheseV. Thanabal
- Topics
- Receptor Mechanisms and Signaling (9 papers)Neurotransmitter Receptor Influence on Behavior (8 papers)Cannabis and Cannabinoid Research (8 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
David A. Griffith
50 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.2k
- Organic Chemistry 880
- Geriatrics and Gerontology 524
- Physiology 349
- Epidemiology 300
Countries citing papers authored by David A. Griffith
This map shows the geographic impact of David A. Griffith'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 A. Griffith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Griffith more than expected).
Fields of papers citing papers by David A. Griffith
This network shows the impact of papers produced by David A. Griffith. 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 A. Griffith. The network helps show where David A. Griffith may publish in the future.
Co-authorship network of co-authors of David A. Griffith
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Griffith. A scholar is included among the top collaborators of David A. Griffith 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 David A. Griffith. David A. Griffith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 15 | |
| 5 | 20 | |
| 6 | 8 | |
| 7 | Cyclic penta- and hexa leucine peptides without N-methylation are orally absorbed | 1 |
| 8 | 13 | |
| 9 | 50 | |
| 10 | 21 | |
| 11 | 118 | |
| 12 | 60 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 9 | |
| 16 | 12 | |
| 17 | SRT1720, SRT2183, SRT1460, and Resveratrol Are Not Direct Activators of SIRT1breakdown → | 723 |
| 18 | 11 | |
| 19 | 82 | |
| 20 | 45 |
About David A. Griffith
David A. Griffith is a scholar working on Cellular and Molecular Neuroscience, Organic Chemistry and Biotechnology, having authored 52 papers that have together received 2.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Cannabis and Cannabinoid Research (8 papers). The work is most often cited by research in Geriatrics and Gerontology (524 citations), Aging (64 citations) and Physiology (158 citations). David A. Griffith has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Samuel J. Danishefsky, Jane M. Withka, John E. Bleasdale, Jessica Ward, Boris A. Chrunyk, David Cunningham, Alison E. Varghese, V. Thanabal, Xiayang Qiu and Brandon Pabst. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.