Kia J. Jackson
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Pharmacology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- M. Imad DamajBilly R. MartinJean‐Pierre ChangeuxPretal P. MuldoonXing ChenJ. M. McIntoshDarlene H. BrunzellMariella De Biasi
- Topics
- Nicotinic Acetylcholine Receptors Study (28 papers)Smoking Behavior and Cessation (19 papers)Receptor Mechanisms and Signaling (14 papers)
- Journals
- PLoS ONEJournal of Pharmacology and Experimental TherapeuticsBritish Journal of Pharmacology
- Partner nations
- United StatesCanadaThailand
In The Last Decade
Kia J. Jackson
40 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 871
- Cellular and Molecular Neuroscience 637
- Physiology 593
- Pharmacology 156
- Public Health, Environmental and Occupational Health 151
Countries citing papers authored by Kia J. Jackson
This map shows the geographic impact of Kia J. Jackson'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 Kia J. Jackson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kia J. Jackson more than expected).
Fields of papers citing papers by Kia J. Jackson
This network shows the impact of papers produced by Kia J. Jackson. 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 Kia J. Jackson. The network helps show where Kia J. Jackson may publish in the future.
Co-authorship network of co-authors of Kia J. Jackson
This figure shows the co-authorship network connecting the top 25 collaborators of Kia J. Jackson. A scholar is included among the top collaborators of Kia J. Jackson 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 Kia J. Jackson. Kia J. Jackson 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 | 12 | |
| 3 | 9 | |
| 4 | 15 | |
| 5 | 11 | |
| 6 | 180 | |
| 7 | 30 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 55 | |
| 12 | 15 | |
| 13 | 52 | |
| 14 | 11 | |
| 15 | 27 | |
| 16 | 22 | |
| 17 | 113 | |
| 18 | 31 | |
| 19 | 34 | |
| 20 | 26 |
About Kia J. Jackson
Kia J. Jackson is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (28 papers), Smoking Behavior and Cessation (19 papers) and Receptor Mechanisms and Signaling (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (637 citations), Physiology (593 citations) and Applied Psychology (86 citations). Kia J. Jackson has collaborated with scholars based in United States, Canada and Thailand. Frequent co-authors include M. Imad Damaj, Billy R. Martin, Jean‐Pierre Changeux, Pretal P. Muldoon, Xing Chen, J. M. McIntosh, Darlene H. Brunzell, Mariella De Biasi, Frank I. Carroll and S. Stevens Negus. Their work appears in journals such as PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and British Journal of 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.