Giulia Treccani

2.2k total citations · 1 hit paper
35 papers, 1.7k citations indexed

About

Giulia Treccani is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Giulia Treccani has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biological Psychiatry, 18 papers in Cellular and Molecular Neuroscience and 13 papers in Behavioral Neuroscience. Recurrent topics in Giulia Treccani's work include Tryptophan and brain disorders (21 papers), Neuroscience and Neuropharmacology Research (16 papers) and Stress Responses and Cortisol (13 papers). Giulia Treccani is often cited by papers focused on Tryptophan and brain disorders (21 papers), Neuroscience and Neuropharmacology Research (16 papers) and Stress Responses and Cortisol (13 papers). Giulia Treccani collaborates with scholars based in Denmark, Italy and Germany. Giulia Treccani's co-authors include Maurizio Popoli, Gerard Sanacora, Laura Musazzi, Gregers Wegener, Alessandra Mallei, Jens Randel Nyengaard, Marianne B. Müller, Heidi Kaastrup Müller, Marco Milanese and Tiziana Bonifacino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biological Psychiatry and International Journal of Molecular Sciences.

In The Last Decade

Giulia Treccani

34 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Towards a glutamate hypothesis of depression

2011 809 citations Gerard Sanacora, Giulia Treccani et al. Neuropharmacology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Treccani Denmark	17	766	691	552	431	290	35	1.7k
Piotr Gruca Poland	28	690 0.9×	841 1.2×	657 1.2×	343 0.8×	500 1.7×	86	1.9k
Brendan Hare United States	14	593 0.8×	521 0.8×	398 0.7×	397 0.9×	223 0.8×	23	1.3k
Satoshi Deyama Japan	19	510 0.7×	621 0.9×	339 0.6×	427 1.0×	253 0.9×	57	1.4k
Lace M. Riggs United States	13	718 0.9×	560 0.8×	435 0.8×	784 1.8×	176 0.6×	19	1.7k
Indira Mendez‐David France	25	824 1.1×	1.2k 1.7×	768 1.4×	599 1.4×	520 1.8×	43	2.7k
Beata Karolewicz United States	19	850 1.1×	1.2k 1.7×	429 0.8×	636 1.5×	445 1.5×	29	2.0k
Matthew J. Girgenti United States	20	545 0.7×	547 0.8×	360 0.7×	337 0.8×	382 1.3×	46	1.6k
Manabu Fuchikami Japan	19	922 1.2×	956 1.4×	747 1.4×	617 1.4×	632 2.2×	29	2.4k
Vanja Đurić United States	17	1.0k 1.4×	924 1.3×	740 1.3×	607 1.4×	536 1.8×	30	2.5k
Andrew C. H. Chen United States	15	440 0.6×	1.3k 1.9×	557 1.0×	252 0.6×	475 1.6×	30	2.2k

Countries citing papers authored by Giulia Treccani

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Treccani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Treccani

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

All Works

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20 of 20 papers shown

Treccani, Giulia, et al.. (2026). Epigenetic mechanisms affected by stress during adolescence and the increased risk for depression later in life: a systematic review. Molecular Psychiatry.

Treccani, Giulia, et al.. (2024). Transient impact of chronic social stress on effort-based reward motivation in non-food restricted mice: Involvement of corticosterone. Neurobiology of Stress. 33. 100690–100690. 1 indexed citations

Zheng, Fang, Tanja Schirmeister, Albert Braeuning, et al.. (2022). Analysis of hyperforin (St. John’s wort) action at TRPC6 channel leads to the development of a new class of antidepressant drugs. Molecular Psychiatry. 27(12). 5070–5085. 16 indexed citations

Kooij, Michael A. van der, Christina Wolf, Diones Bueno, et al.. (2022). Chronic social stress disrupts the intracellular redistribution of brain hexokinase 3 induced by shifts in peripheral glucose levels. Journal of Molecular Medicine. 100(10). 1441–1453. 7 indexed citations

Herzog, David P., Natarajan Perumal, Caroline Manicam, et al.. (2021). Longitudinal CSF proteome profiling in mice to uncover the acute and sustained mechanisms of action of rapid acting antidepressant (2R,6R)-hydroxynorketamine (HNK). Neurobiology of Stress. 15. 100404–100404. 12 indexed citations

Herzog, David P., Giulia Treccani, Beat Lutz, et al.. (2021). A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells. Translational Psychiatry. 11(1). 4–4. 5 indexed citations

Chen, Fenghua, Giulia Treccani, Betina Elfving, et al.. (2020). Structural Plasticity and Molecular Markers in Hippocampus of Male Rats after Acute Stress. Neuroscience. 438. 100–115. 4 indexed citations

Musazzi, Laura, Nathalie Sala, Paolo Tornese, et al.. (2019). Acute Inescapable Stress Rapidly Increases Synaptic Energy Metabolism in Prefrontal Cortex and Alters Working Memory Performance. Cerebral Cortex. 29(12). 4948–4957. 24 indexed citations

Tornese, Paolo, Nathalie Sala, Daniela Bonini, et al.. (2019). Chronic mild stress induces anhedonic behavior and changes in glutamate release, BDNF trafficking and dendrite morphology only in stress vulnerable rats. The rapid restorative action of ketamine. Neurobiology of Stress. 10. 100160–100160. 81 indexed citations

10.

Treccani, Giulia, Maryam Ardalan, Fenghua Chen, et al.. (2019). S-Ketamine Reverses Hippocampal Dendritic Spine Deficits in Flinders Sensitive Line Rats Within 1 h of Administration. Molecular Neurobiology. 56(11). 7368–7379. 53 indexed citations

11.

Masana, Mercè, Sören Westerholz, Giulia Treccani, et al.. (2018). Expression and glucocorticoid-dependent regulation of the stress-inducible protein DRR1 in the mouse adult brain. Brain Structure and Function. 223(9). 4039–4052. 2 indexed citations

12.

Treccani, Giulia, et al.. (2016). The expression of plasticity-related genes in an acute model of stress is modulated by chronic desipramine in a time-dependent manner within medial prefrontal cortex. European Neuropsychopharmacology. 27(1). 19–28. 12 indexed citations

13.

Treccani, Giulia, Kristian Gaarn du Jardin, Gregers Wegener, & Heidi Kaastrup Müller. (2016). Differential expression of postsynaptic NMDA and AMPA receptor subunits in the hippocampus and prefrontal cortex of the flinders sensitive line rat model of depression. Synapse. 70(11). 471–474. 19 indexed citations

14.

Treccani, Giulia, Heidi Kaastrup Müller, Betina Elfving, et al.. (2015). Temporal Dynamics of Acute Stress-Induced Dendritic Remodeling in Medial Prefrontal Cortex and the Protective Effect of Desipramine. Cerebral Cortex. 27(1). bhv254–bhv254. 44 indexed citations

15.

Treccani, Giulia, Nico Liebenberg, Fenghua Chen, et al.. (2015). Chronic Desipramine Prevents Acute Stress-Induced Reorganization of Medial Prefrontal Cortex Architecture by Blocking Glutamate Vesicle Accumulation and Excitatory Synapse Increase. The International Journal of Neuropsychopharmacology. 18(3). 27 indexed citations

16.

Treccani, Giulia, Laura Musazzi, Carla Perego, et al.. (2014). Stress and corticosterone increase the readily releasable pool of glutamate vesicles in synaptic terminals of prefrontal and frontal cortex. Molecular Psychiatry. 19(4). 433–443. 101 indexed citations

17.

Treccani, Giulia, Laura Musazzi, Carla Perego, et al.. (2014). Acute stress rapidly increases the readily releasable pool of glutamate vesicles in prefrontal and frontal cortex through non-genomic action of corticosterone. Molecular Psychiatry. 19(4). 401–401. 16 indexed citations

18.

Milanese, Marco, Daniela Tardito, Laura Musazzi, et al.. (2013). Chronic treatment with agomelatine or venlafaxine reduces depolarization-evoked glutamate release from hippocampal synaptosomes. BMC Neuroscience. 14(1). 75–75. 31 indexed citations

19.

Musazzi, Laura, Giulia Treccani, Alessandra Mallei, & Maurizio Popoli. (2012). The Action of Antidepressants on the Glutamate System: Regulation of Glutamate Release and Glutamate Receptors. Biological Psychiatry. 73(12). 1180–1188. 135 indexed citations

20.

Sanacora, Gerard, Giulia Treccani, & Maurizio Popoli. (2011). Towards a glutamate hypothesis of depression. Neuropharmacology. 62(1). 63–77. 809 indexed citations breakdown →

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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