Kimberly G. Estep
- Pharmacology top 2%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Organic Chemistry top 10%
- Toxicology top 2%
- Co-authors
- Malcolm R. BellMichael A. EissenstatThomas E. D'AmbraKurt A. JosefDean A. HaycockSusan J. WardEugene R. BaizmanFrances M. Casiano
- Topics
- Cannabis and Cannabinoid Research (4 papers)Chemical Synthesis and Analysis (2 papers)Pharmacological Receptor Mechanisms and Effects (2 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Medicinal ChemistryThe Journal of Organic Chemistry
- Partner nations
- United StatesFrance
In The Last Decade
Kimberly G. Estep
16 papers receiving 644 citations
Peers
Comparison fields: 5 of 69
- Pharmacology 368
- Molecular Biology 292
- Cellular and Molecular Neuroscience 243
- Organic Chemistry 224
- Toxicology 82
Countries citing papers authored by Kimberly G. Estep
This map shows the geographic impact of Kimberly G. Estep'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 Kimberly G. Estep with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly G. Estep more than expected).
Fields of papers citing papers by Kimberly G. Estep
This network shows the impact of papers produced by Kimberly G. Estep. 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 Kimberly G. Estep. The network helps show where Kimberly G. Estep may publish in the future.
Co-authorship network of co-authors of Kimberly G. Estep
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly G. Estep. A scholar is included among the top collaborators of Kimberly G. Estep 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 Kimberly G. Estep. Kimberly G. Estep is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 93 | |
| 4 | 14 | |
| 5 | 71 | |
| 6 | 43 | |
| 7 | 124 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | 240 | |
| 14 | 20 | |
| 15 | Aminoalkylindoles (AAIs): structurally novel cannabinoid-mimetics. | 10 |
| 16 | Aminoalkylindoles (AAIs): a new route to the cannabinoid receptor? | 20 |
About Kimberly G. Estep
Kimberly G. Estep is a scholar working on Organic Chemistry, Pharmacology and Molecular Biology, having authored 16 papers that have together received 677 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (4 papers), Chemical Synthesis and Analysis (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Toxicology (82 citations), Pharmacology (368 citations) and Cellular and Molecular Neuroscience (243 citations). Kimberly G. Estep has collaborated with scholars based in United States and France. Frequent co-authors include Malcolm R. Bell, Michael A. Eissenstat, Thomas E. D'Ambra, Kurt A. Josef, Dean A. Haycock, Susan J. Ward, Eugene R. Baizman, Frances M. Casiano, Martin P. Allen and M. D. GRUETT. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.
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.