Leonardo Tozzi

44 papers receiving 1.4k citations

Leonardo Tozzi's Hit Papers

Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety 2024 · 95 citations
950+1Years since publication255075

Peers

Leonardo Tozzi
Comparison fields: 5 of 95
  • Biological Psychiatry 256
  • Behavioral Neuroscience 247
  • Cognitive Neuroscience 427
  • Experimental and Cognitive Psychology 240
  • Neurology 91
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Gustavo A. Angarita United States
Angela Carballedo Ireland
Jie Fan China
Andrea Escelsior Italy
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Emily L. Belleau United States
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Countries citing papers authored by Leonardo Tozzi

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Tozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leonardo Tozzi, 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 Leonardo Tozzi Line = papers co-authored together Leonardo Tozzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018207
2
Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety
Hit paper breakdown →
202495
3 201791
4 201888
5 202174
6 201872
7 201568
8 201966
9 201563
10 202362
11 201750
12 201941
13 201639
14 201937
15 202035
16 202034
17 201331
18 202028
19 202021
20 202121

About Leonardo Tozzi

Leonardo Tozzi is a scholar working on Cognitive Neuroscience, Biological Psychiatry, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging and Clinical Psychology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (18 papers), Tryptophan and brain disorders (9 papers), Stress Responses and Cortisol (7 papers), Treatment of Major Depression (6 papers), Mental Health Research Topics (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Neural and Behavioral Psychology Studies (4 papers) and Child and Adolescent Psychosocial and Emotional Development (4 papers). The work is most often cited by research in Biological Psychiatry (256 citations), Behavioral Neuroscience (247 citations), Cognitive Neuroscience (427 citations), Experimental and Cognitive Psychology (240 citations) and Neurology (91 citations). Leonardo Tozzi has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include Thomas Frodl, Veronica O’Keane, Kelly Doolin, Chloë Farrell, Leanne M. Williams, Darren Roddy, Erik O’Hanlon, Mayuresh S. Korgaonkar, Elena Román and Andrew Harkin. Their work appears in journals such as Biological Psychiatry, Journal of Affective Disorders, Psychiatry Research Neuroimaging, NeuroImage and European Psychiatry.

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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