Marı́a Inés Forray

911 total citations
28 papers, 783 citations indexed

About

Marı́a Inés Forray is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Marı́a Inés Forray has authored 28 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 9 papers in Behavioral Neuroscience. Recurrent topics in Marı́a Inés Forray's work include Neuroscience and Neuropharmacology Research (10 papers), Stress Responses and Cortisol (9 papers) and Receptor Mechanisms and Signaling (9 papers). Marı́a Inés Forray is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Stress Responses and Cortisol (9 papers) and Receptor Mechanisms and Signaling (9 papers). Marı́a Inés Forray collaborates with scholars based in Chile, United States and France. Marı́a Inés Forray's co-authors include Katia Gysling, Gonzalo Bustos, Marı́a Estela Andrés, José Antonio Fuentealba, Paola Haeger, Jorge Abarca, C.M. Daza Montano, Ramón Sotomayor‐Zárate, Robert H. Roth and Charles W. Bradberry and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Neuroscience.

In The Last Decade

Marı́a Inés Forray

28 papers receiving 778 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marı́a Inés Forray Chile 15 431 268 218 217 137 28 783
Heather N. Koenig United States 8 537 1.2× 267 1.0× 121 0.6× 270 1.2× 102 0.7× 10 757
Stanley J. Watson United States 9 318 0.7× 308 1.1× 238 1.1× 218 1.0× 82 0.6× 9 759
Anna Czyrak Poland 19 585 1.4× 190 0.7× 140 0.6× 354 1.6× 160 1.2× 42 891
Jean-Luc Moreau Switzerland 9 378 0.9× 188 0.7× 137 0.6× 284 1.3× 116 0.8× 10 690
Antoniette M. Maldonado‐Devincci United States 17 477 1.1× 188 0.7× 91 0.4× 277 1.3× 136 1.0× 39 892
Michelle A. Tanchuck United States 16 498 1.2× 268 1.0× 96 0.4× 186 0.9× 103 0.8× 19 727
Amalia Fedeli Italy 10 633 1.5× 237 0.9× 118 0.5× 378 1.7× 112 0.8× 16 844
Katsuya Harada Japan 16 325 0.8× 211 0.8× 95 0.4× 254 1.2× 128 0.9× 33 857
Katarzyna Fijał Poland 20 567 1.3× 201 0.8× 182 0.8× 268 1.2× 209 1.5× 34 914
Eugene D. Festa United States 16 644 1.5× 281 1.0× 291 1.3× 272 1.3× 118 0.9× 20 1.0k

Countries citing papers authored by Marı́a Inés Forray

Since Specialization
Citations

This map shows the geographic impact of Marı́a Inés Forray'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 Marı́a Inés Forray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marı́a Inés Forray more than expected).

Fields of papers citing papers by Marı́a Inés Forray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marı́a Inés Forray. 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 Marı́a Inés Forray. The network helps show where Marı́a Inés Forray may publish in the future.

Co-authorship network of co-authors of Marı́a Inés Forray

This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a Inés Forray. A scholar is included among the top collaborators of Marı́a Inés Forray 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 Marı́a Inés Forray. Marı́a Inés Forray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Forray, Marı́a Inés, et al.. (2019). Effort Displayed During Appetitive Phase of Feeding Behavior Requires Infralimbic Cortex Activity and Histamine H1 Receptor Signaling. Frontiers in Neuroscience. 13. 577–577. 5 indexed citations
2.
3.
Campos‐Melo, Danae, et al.. (2011). Repeated Immobilization Stress Increases Nur77 Expression in the Bed Nucleus of the Stria Terminalis. Neurotoxicity Research. 20(3). 289–300. 9 indexed citations
4.
Forray, Marı́a Inés, et al.. (2010). Augmentation of the behavioural effects of desipramine by repeated immobilization stress. Behavioural Brain Research. 214(2). 285–289. 2 indexed citations
5.
6.
Haeger, Paola, Rolando Cuevas, Claudina Pérez-Novo, et al.. (2006). Intron retention as an alternative splice variant of the rat urocortin 1 gene. Neuroscience. 140(4). 1245–1252. 6 indexed citations
7.
Haeger, Paola, Marı́a Estela Andrés, Marı́a Inés Forray, et al.. (2006). Estrogen Receptors α and β Differentially Regulate the Transcriptional Activity of the Urocortin Gene. Journal of Neuroscience. 26(18). 4908–4916. 36 indexed citations
8.
9.
Radicella, J. Pablo, et al.. (2005). 8-oxoguanine DNA glycosylase, but not Kin17 protein, is translocated and differentially regulated by estrogens in rat brain cells. Neuroscience. 136(1). 135–146. 10 indexed citations
10.
Forray, Marı́a Inés & Katia Gysling. (2004). Role of noradrenergic projections to the bed nucleus of the stria terminalis in the regulation of the hypothalamic–pituitary–adrenal axis. Brain Research Reviews. 47(1-3). 145–160. 161 indexed citations
11.
Gysling, Katia, et al.. (2004). Corticotropin-releasing hormone and urocortin: redundant or distinctive functions?. Brain Research Reviews. 47(1-3). 116–125. 51 indexed citations
12.
Forray, Marı́a Inés, et al.. (2000). Differential regulation of urocortin mRNA expression in septum and paraventricular nucleus of the hypothalamus of female rats. The Society for Neuroscience Abstracts. 26. 509. 1 indexed citations
13.
Fuentealba, José Antonio, Marı́a Inés Forray, & Katia Gysling. (2000). Chronic Morphine Treatment and Withdrawal Increase Extracellular Levels of Norepinephrine in the Rat Bed Nucleus of the Stria Terminalis. Journal of Neurochemistry. 75(2). 741–748. 66 indexed citations
14.
Forray, Marı́a Inés, et al.. (2000). Medullary noradrenergic neurons projecting to the bed nucleus of the stria terminalis express mRNA for the NMDA-NR1 receptor. Brain Research Bulletin. 52(3). 163–169. 52 indexed citations
15.
Forray, Marı́a Inés, Gonzalo Bustos, & Katia Gysling. (1999). Noradrenaline inhibits glutamate release in the rat bed nucleus of the stria terminalis: In vivo microdialysis studies. Journal of Neuroscience Research. 55(3). 311–320. 57 indexed citations
16.
Forray, Marı́a Inés, et al.. (1995). Transport of nitric oxide synthase inhibitors through cationic amino acid carriers in human erythrocytes. Biochemical Pharmacology. 50(12). 1963–1968. 19 indexed citations
17.
Forray, Marı́a Inés, Marı́a Estela Andrés, Gonzalo Bustos, & Katia Gysling. (1995). Regulation of endogenous noradrenaline release from the bed nucleus of stria terminalis. Biochemical Pharmacology. 49(5). 687–692. 25 indexed citations
18.
Andrés, Marı́a Estela, et al.. (1993). Studies of cholecystokinin in the rat bed nucleus of stria terminalis. Biochemical Pharmacology. 45(11). 2283–2288. 5 indexed citations
19.
Labarca, Rodrigo, Hernán Silva, Marı́a Inés Forray, et al.. (1993). Differential effects of haloperidol on negative symptoms in drug-naive schizophrenic patients: effects on plasma homovanillic acid. Schizophrenia Research. 9(1). 29–34. 11 indexed citations
20.
Forray, Marı́a Inés, et al.. (1993). Non-neuronal endogenous GABA efflux from the rat oviduct. Life Sciences. 52(9). 811–818. 3 indexed citations

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.

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