Giulia Treccani

37 papers receiving 1.8k citations

Giulia Treccani's Hit Papers

Towards a glutamate hypothesis of depression 2011 · 871 citations
8710+5+10Years since publication250500750

Peers

Giulia Treccani
Comparison fields: 5 of 106
  • Biological Psychiatry 725
  • Behavioral Neuroscience 532
  • Cellular and Molecular Neuroscience 666
  • Developmental Neuroscience 112
  • Pharmacology 436
Replace Piotr Gruca with:
Piotr Gruca Poland
Brendan D. Hare United States
Matthew J. Girgenti United States
Beata Karolewicz United States
Ashley E. Lepack United States
Satoshi Deyama Japan
Francesco Matrisciano Italy
Manabu Fuchikami Japan
Vanja Đurić United States
Kristie T. Ota United States
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Citations per year

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-authors

The 25 scholars most cited alongside Giulia Treccani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giulia Treccani Line = papers co-authored together Giulia Treccani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Towards a glutamate hypothesis of depression
Hit paper breakdown →
2011871
2 2012145
3 2014109
4 201987
5 201873
6 201571
7 201956
8 201547
9 201845
10 202133
11 201932
12 201331
13 201529
14 201927
15 201223
16 202222
17 201620
18 201417
19 202014
20 201613

About Giulia Treccani

Giulia Treccani is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Cellular and Molecular Neuroscience, Pharmacology and Developmental Neuroscience, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (19 papers), Neuroscience and Neuropharmacology Research (17 papers), Stress Responses and Cortisol (13 papers), Treatment of Major Depression (9 papers), Memory and Neural Mechanisms (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Adipose Tissue and Metabolism (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Biological Psychiatry (725 citations), Behavioral Neuroscience (532 citations), Cellular and Molecular Neuroscience (666 citations), Developmental Neuroscience (112 citations) and Pharmacology (436 citations). Giulia Treccani has collaborated with scholars based in Denmark, Italy and Germany. Frequent co-authors include Maurizio Popoli, Gerard Sanacora, Laura Musazzi, Gregers Wegener, Alessandra Mallei, Jens Randel Nyengaard, Marianne B. Mueller, Heidi Kaastrup Müller, Giambattista Bonanno and Marco Milanese. Their work appears in journals such as Molecular Psychiatry, European Neuropsychopharmacology, Neurobiology of Stress, Cerebral Cortex and International Journal of Molecular Sciences.

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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