Natalina Salmaso

2.1k total citations
40 papers, 1.5k citations indexed

About

Natalina Salmaso is a scholar working on Molecular Biology, Behavioral Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Natalina Salmaso has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Behavioral Neuroscience and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Natalina Salmaso's work include Stress Responses and Cortisol (10 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). Natalina Salmaso is often cited by papers focused on Stress Responses and Cortisol (10 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neurogenesis and neuroplasticity mechanisms (8 papers). Natalina Salmaso collaborates with scholars based in Canada, United States and Qatar. Natalina Salmaso's co-authors include Flora M. Vaccarino, Demetra Rodaros, Jane Stewart, Barbara Woodside, Vittorio Gallo, Beata Jabłońska, Joseph Scafidi, Chris Rudyk, Mila Komitova and Laura R. Ment and has published in prestigious journals such as Nature, Nature Communications and Journal of Neuroscience.

In The Last Decade

Natalina Salmaso

36 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalina Salmaso Canada 19 474 331 305 293 281 40 1.5k
Mark L. Baccei United States 24 644 1.4× 364 1.1× 137 0.4× 450 1.5× 220 0.8× 64 1.7k
Huaibo Zhang United States 26 881 1.9× 389 1.2× 113 0.4× 1.2k 4.2× 236 0.8× 43 2.3k
Sara B. Glickstein United States 25 489 1.0× 280 0.8× 104 0.3× 555 1.9× 61 0.2× 37 1.7k
Sonia Luquı́n Mexico 22 339 0.7× 76 0.2× 118 0.4× 318 1.1× 303 1.1× 56 1.5k
Rawien Balesar Netherlands 21 316 0.7× 55 0.2× 346 1.1× 348 1.2× 257 0.9× 38 1.5k
Claire‐Marie Vacher France 17 390 0.8× 125 0.4× 257 0.8× 313 1.1× 88 0.3× 33 1.1k
Davor Stanić Australia 22 895 1.9× 75 0.2× 347 1.1× 369 1.3× 92 0.3× 47 1.6k
Herms J. Romijn Netherlands 9 366 0.8× 296 0.9× 690 2.3× 216 0.7× 173 0.6× 10 1.5k
Takashi Fujioka Japan 13 468 1.0× 66 0.2× 164 0.5× 234 0.8× 216 0.8× 34 1.2k
Alessia Luoni Italy 22 370 0.8× 210 0.6× 53 0.2× 336 1.1× 565 2.0× 31 1.4k

Countries citing papers authored by Natalina Salmaso

Since Specialization
Citations

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

Fields of papers citing papers by Natalina Salmaso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalina Salmaso. 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 Natalina Salmaso. The network helps show where Natalina Salmaso may publish in the future.

Co-authorship network of co-authors of Natalina Salmaso

This figure shows the co-authorship network connecting the top 25 collaborators of Natalina Salmaso. A scholar is included among the top collaborators of Natalina Salmaso 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 Natalina Salmaso. Natalina Salmaso 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.
Sajish, Mathew, et al.. (2025). Orchestrating Neural Development Through mRNA Translation Regulation. Journal of Neurochemistry. 169(6). e70128–e70128.
2.
Ortiz, Z, et al.. (2025). Race and ethnicity matter! Moving Parkinson’s risk research towards diversity and inclusiveness. npj Parkinson s Disease. 11(1). 45–45.
3.
Salmaso, Natalina, et al.. (2025). Emerging autism and Fragile X syndrome treatments. Trends in Pharmacological Sciences. 46(4). 357–371.
4.
Salmaso, Natalina, et al.. (2024). An integrative view on the cell-type-specific mechanisms of ketamine's antidepressant actions. Trends in Neurosciences. 47(3). 195–208. 11 indexed citations
5.
Tomlinson, Julianna J., Jonas Franz, Omar Hasan Ali, et al.. (2024). Neuropathological assessment of the olfactory bulb and tract in individuals with COVID-19. Acta Neuropathologica Communications. 12(1). 70–70. 1 indexed citations
6.
Lebowitz, Eli R., et al.. (2023). Maternal FGF2 levels associated with child anxiety and depression symptoms through child FGF2 levels. Journal of Affective Disorders. 326. 193–197. 3 indexed citations
7.
Aguilar‐Valles, Argel, et al.. (2023). Neonatal estrogen induces male-like expression of astroglial markers of maturation and plasticity in the neocortex of female mice. Brain Research. 1818. 148499–148499. 2 indexed citations
8.
Freitas‐Andrade, Moises, Baptiste Lacoste, John D. H. Stead, et al.. (2022). Sex differences in developmental patterns of neocortical astroglia: A mouse translatome database. Cell Reports. 38(5). 110310–110310. 52 indexed citations
9.
Lebowitz, Eli R., et al.. (2021). Fibroblast Growth Factor 2 Implicated in Childhood Anxiety and Depression Symptoms. Journal of Affective Disorders. 282. 611–616. 8 indexed citations
10.
Aguilar‐Valles, Argel, Danilo De Gregorio, Edna Matta‐Camacho, et al.. (2020). Antidepressant actions of ketamine engage cell-specific translation via eIF4E. Nature. 590(7845). 315–319. 82 indexed citations
11.
Rudyk, Chris, et al.. (2020). Differential Effects of Short-term Environmental Enrichment in Juvenile and Adult Mice. Neuroscience. 429. 23–32. 17 indexed citations
12.
Rudyk, Chris, et al.. (2019). Chronic unpredictable stress influenced the behavioral but not the neurodegenerative impact of paraquat. Neurobiology of Stress. 11. 100179–100179. 29 indexed citations
13.
Duman, Ronald S., et al.. (2018). Fibroblast growth factor 2 is necessary for the antidepressant effects of fluoxetine. PLoS ONE. 13(10). e0204980–e0204980. 27 indexed citations
14.
Salmaso, Natalina, et al.. (2015). Contribution of maternal oxygenic state to the effects of chronic postnatal hypoxia on mouse body and brain development. Neuroscience Letters. 604. 12–17. 6 indexed citations
15.
Bi, Baoyuan, Natalina Salmaso, Mila Komitova, et al.. (2011). Cortical Glial Fibrillary Acidic Protein-Positive Cells Generate Neurons after Perinatal Hypoxic Injury. Journal of Neuroscience. 31(25). 9205–9221. 44 indexed citations
16.
Salmaso, Natalina, et al.. (2011). Changes in dendritic spine density on layer 2/3 pyramidal cells within the cingulate cortex of late pregnant and postpartum rats. Hormones and Behavior. 60(1). 65–71. 16 indexed citations
17.
Salmaso, Natalina, et al.. (2009). Steroid hormones and maternal experience interact to induce glial plasticity in the cingulate cortex. European Journal of Neuroscience. 29(4). 786–794. 25 indexed citations
18.
Salmaso, Natalina & Barbara Woodside. (2006). Upregulation of astrocytic basic fibroblast growth factor in the cingulate cortex of lactating rats: Time course and role of suckling stimulation. Hormones and Behavior. 50(3). 448–453. 19 indexed citations
19.
20.
Flores, Cecilia, Jane Stewart, Natalina Salmaso, Ying Zhang, & Patricia Boksa. (2002). Astrocytic basic fibroblast growth factor expression in dopaminergic regions after perinatal anoxia. Biological Psychiatry. 52(4). 362–370. 15 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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