Maya Frankfurt
- Behavioral Neuroscience top 0.1%
- Cellular and Molecular Neuroscience top 0.5%
- Genetics top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Social Psychology top 0.5%
- Co-authors
- Elizabeth GouldCatherine S. WoolleyVictoria N. LuineBS McEwenBruce S. McEwenEfrain C. AzmitiaRachel BowmanAnita Westlind‐Danielsson
- Topics
- Neuroendocrine regulation and behavior (27 papers)Stress Responses and Cortisol (22 papers)Neuroscience and Neuropharmacology Research (22 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Maya Frankfurt
87 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Behavioral Neuroscience 2.1k
- Cellular and Molecular Neuroscience 2.1k
- Genetics 1.8k
- Endocrinology, Diabetes and Metabolism 1.5k
- Social Psychology 1.5k
Countries citing papers authored by Maya Frankfurt
This map shows the geographic impact of Maya Frankfurt'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 Maya Frankfurt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Frankfurt more than expected).
Fields of papers citing papers by Maya Frankfurt
This network shows the impact of papers produced by Maya Frankfurt. 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 Maya Frankfurt. The network helps show where Maya Frankfurt may publish in the future.
Co-authorship network of co-authors of Maya Frankfurt
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Frankfurt. A scholar is included among the top collaborators of Maya Frankfurt 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 Maya Frankfurt. Maya Frankfurt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 113 | |
| 4 | 22 | |
| 5 | 9 | |
| 6 | 186 | |
| 7 | 47 | |
| 8 | 20 | |
| 9 | 38 | |
| 10 | 50 | |
| 11 | Estrogens differentially enhance spatial and non-spatial memory | 1 |
| 12 | 70 | |
| 13 | 108 | |
| 14 | 21 | |
| 15 | 22 | |
| 16 | 60 | |
| 17 | 202 | |
| 18 | 27 | |
| 19 | 7 | |
| 20 | 3 |
About Maya Frankfurt
Maya Frankfurt is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Cellular and Molecular Neuroscience, having authored 88 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (27 papers), Stress Responses and Cortisol (22 papers) and Neuroscience and Neuropharmacology Research (22 papers). The work is most often cited by research in Behavioral Neuroscience (2.1k citations), Developmental Neuroscience (576 citations) and Cellular and Molecular Neuroscience (2.1k citations). Maya Frankfurt has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Elizabeth Gould, Catherine S. Woolley, Victoria N. Luine, BS McEwen, Bruce S. McEwen, Efrain C. Azmitia, Rachel Bowman, Anita Westlind‐Danielsson, Neil J. MacLusky and Michaël Schumacher. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.