Thomas E. D'Ambra
- Pharmacology top 2%
- Cellular and Molecular Neuroscience top 5%
- Organic Chemistry top 10%
- Molecular Biology
- Toxicology top 1%
- Co-authors
- Malcolm R. BellMichael A. EissenstatSusan J. WardDean A. HaycockKimberly G. EstepEugene R. BaizmanKurt A. JosefVirendra Kumar
- Topics
- Cannabis and Cannabinoid Research (6 papers)Synthetic Organic Chemistry Methods (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Medicinal ChemistryJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesFrance
In The Last Decade
Thomas E. D'Ambra
17 papers receiving 783 citations
Peers
Comparison fields: 5 of 60
- Pharmacology 544
- Cellular and Molecular Neuroscience 399
- Organic Chemistry 204
- Molecular Biology 187
- Toxicology 134
Countries citing papers authored by Thomas E. D'Ambra
This map shows the geographic impact of Thomas E. D'Ambra'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 Thomas E. D'Ambra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. D'Ambra more than expected).
Fields of papers citing papers by Thomas E. D'Ambra
This network shows the impact of papers produced by Thomas E. D'Ambra. 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 Thomas E. D'Ambra. The network helps show where Thomas E. D'Ambra may publish in the future.
Co-authorship network of co-authors of Thomas E. D'Ambra
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. D'Ambra. A scholar is included among the top collaborators of Thomas E. D'Ambra 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 Thomas E. D'Ambra. Thomas E. D'Ambra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 124 | |
| 4 | 48 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 130 | |
| 8 | 240 | |
| 9 | 123 | |
| 10 | 28 | |
| 11 | Characterization of aminoalkylindole binding: selective displacement by cannabinoids. | 8 |
| 12 | 1 | |
| 13 | Aminoalkylindoles (AAIs): structurally novel cannabinoid-mimetics. | 10 |
| 14 | Aminoalkylindoles (AAIs): a new route to the cannabinoid receptor? | 20 |
| 15 | 5 | |
| 16 | 26 | |
| 17 | 7 | |
| 18 | 21 |
About Thomas E. D'Ambra
Thomas E. D'Ambra is a scholar working on Pharmacology, Organic Chemistry and Spectroscopy, having authored 18 papers that have together received 811 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (6 papers), Synthetic Organic Chemistry Methods (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Toxicology (134 citations), Pharmacology (544 citations) and Cellular and Molecular Neuroscience (399 citations). Thomas E. D'Ambra has collaborated with scholars based in United States and France. Frequent co-authors include Malcolm R. Bell, Michael A. Eissenstat, Susan J. Ward, Dean A. Haycock, Kimberly G. Estep, Eugene R. Baizman, Kurt A. Josef, Virendra Kumar, Frances M. Casiano and William Roush. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry 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.