Gabrielle L. McLemore
- Cellular and Molecular Neuroscience top 5%
- Endocrine and Autonomic Systems top 5%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Pharmacology top 10%
- Co-authors
- Charles E. InturrisiBenjamin KestKimberlei A. RichardsonEstelle B. GaudaJoan Y. Summy‐LongDavid A. JettWei TangShereé M. Johnson
- Topics
- Neuroscience of respiration and sleep (11 papers)Neuroscience and Neuropharmacology Research (7 papers)Cannabis and Cannabinoid Research (7 papers)
- Journals
- Brain ResearchJournal of Applied PhysiologyJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesPolandCanada
In The Last Decade
Gabrielle L. McLemore
33 papers receiving 725 citations
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 275
- Endocrine and Autonomic Systems 228
- Molecular Biology 172
- Pediatrics, Perinatology and Child Health 167
- Pharmacology 165
Countries citing papers authored by Gabrielle L. McLemore
This map shows the geographic impact of Gabrielle L. McLemore'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 Gabrielle L. McLemore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielle L. McLemore more than expected).
Fields of papers citing papers by Gabrielle L. McLemore
This network shows the impact of papers produced by Gabrielle L. McLemore. 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 Gabrielle L. McLemore. The network helps show where Gabrielle L. McLemore may publish in the future.
Co-authorship network of co-authors of Gabrielle L. McLemore
This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle L. McLemore. A scholar is included among the top collaborators of Gabrielle L. McLemore 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 Gabrielle L. McLemore. Gabrielle L. McLemore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 32 | |
| 6 | 99 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 70 | |
| 12 | 16 | |
| 13 | 38 | |
| 14 | 8 | |
| 15 | 54 | |
| 16 | 61 | |
| 17 | 101 | |
| 18 | 3 | |
| 19 | 15 | |
| 20 | 26 |
About Gabrielle L. McLemore
Gabrielle L. McLemore is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 33 papers that have together received 745 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (11 papers), Neuroscience and Neuropharmacology Research (7 papers) and Cannabis and Cannabinoid Research (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (228 citations), Cellular and Molecular Neuroscience (275 citations) and Behavioral Neuroscience (43 citations). Gabrielle L. McLemore has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Charles E. Inturrisi, Benjamin Kest, Kimberlei A. Richardson, Estelle B. Gauda, Joan Y. Summy‐Long, David A. Jett, Wei Tang, Shereé M. Johnson, Mehdi Shokouhian and Izhar Ahmad. Their work appears in journals such as Brain Research, Journal of Applied Physiology 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.