Catherine J. Peña
- Behavioral Neuroscience top 0.2%
- Molecular Biology top 10%
- Biological Psychiatry top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Social Psychology top 2%
- Co-authors
- Eric J. NestlerRosemary C. BagotFrances A. ChampagneBenoît LabontéCatherine MonkDeena M. WalkerImmanuel PurushothamanLi Shen
- Topics
- Stress Responses and Cortisol (25 papers)Neuroendocrine regulation and behavior (17 papers)Tryptophan and brain disorders (12 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Catherine J. Peña
49 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Behavioral Neuroscience 1.2k
- Molecular Biology 1.2k
- Biological Psychiatry 789
- Cellular and Molecular Neuroscience 766
- Social Psychology 757
Countries citing papers authored by Catherine J. Peña
This map shows the geographic impact of Catherine J. Peña'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 Catherine J. Peña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine J. Peña more than expected).
Fields of papers citing papers by Catherine J. Peña
This network shows the impact of papers produced by Catherine J. Peña. 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 Catherine J. Peña. The network helps show where Catherine J. Peña may publish in the future.
Co-authorship network of co-authors of Catherine J. Peña
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine J. Peña. A scholar is included among the top collaborators of Catherine J. Peña 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 Catherine J. Peña. Catherine J. Peña is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 25 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 19 | |
| 10 | 34 | |
| 11 | 63 | |
| 12 | 8 | |
| 13 | 43 | |
| 14 | 49 | |
| 15 | 280 | |
| 16 | 221 | |
| 17 | 81 | |
| 18 | 51 | |
| 19 | Ventral hippocampal afferents to the nucleus accumbens regulate susceptibility to depressionbreakdown → | 363 |
| 20 | 48 |
About Catherine J. Peña
Catherine J. Peña is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Social Psychology, having authored 52 papers that have together received 3.4k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (25 papers), Neuroendocrine regulation and behavior (17 papers) and Tryptophan and brain disorders (12 papers). The work is most often cited by research in Behavioral Neuroscience (1.2k citations), Biological Psychiatry (789 citations) and Cellular and Molecular Neuroscience (766 citations). Catherine J. Peña has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Eric J. Nestler, Rosemary C. Bagot, Frances A. Champagne, Benoît Labonté, Catherine Monk, Deena M. Walker, Immanuel Purushothaman, Li Shen, Orna Issler and Hannah M. Cates. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.