Gladys Martin
- Cellular and Molecular Neuroscience top 10%
- Pharmacology top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Surgery
- Co-authors
- Leon ChangDouglas W. BonhausP S SeverAlun D. HughesJuan CosínSara MacLennanRichard M. EglenRenée S. Martin
- Topics
- Neuropeptides and Animal Physiology (3 papers)Pharmacology and Obesity Treatment (2 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Journals
- Journal of Pharmacology and Experimental TherapeuticsBritish Journal of PharmacologyAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- United StatesVenezuelaSweden
In The Last Decade
Gladys Martin
11 papers receiving 438 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 242
- Pharmacology 208
- Molecular Biology 141
- Cardiology and Cardiovascular Medicine 81
- Surgery 64
Countries citing papers authored by Gladys Martin
This map shows the geographic impact of Gladys Martin'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 Gladys Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gladys Martin more than expected).
Fields of papers citing papers by Gladys Martin
This network shows the impact of papers produced by Gladys Martin. 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 Gladys Martin. The network helps show where Gladys Martin may publish in the future.
Co-authorship network of co-authors of Gladys Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Gladys Martin. A scholar is included among the top collaborators of Gladys Martin 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 Gladys Martin. Gladys Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 197 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | Neurophysiological effects of substance P in primate hypertension models. Preliminary report. | 2 |
| 8 | 63 | |
| 9 | 31 | |
| 10 | 60 | |
| 11 | An isolated vascular tissue preparation showing a specific relaxant effect of dopamine [proceedings]. | 10 |
About Gladys Martin
Gladys Martin is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 453 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Pharmacology and Obesity Treatment (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (242 citations), Pharmacology (208 citations) and Endocrine and Autonomic Systems (52 citations). Gladys Martin has collaborated with scholars based in United States, Venezuela and Sweden. Frequent co-authors include Leon Chang, Douglas W. Bonhaus, P S Sever, Alun D. Hughes, Juan Cosín, Sara MacLennan, Richard M. Eglen, Renée S. Martin, M Schachter and L A Luong. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and American Journal of Physiology-Heart and Circulatory Physiology.
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.