Leonardo Tozzi

4.9k total citations · 1 hit paper
46 papers, 1.3k citations indexed

About

Leonardo Tozzi is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Biological Psychiatry. According to data from OpenAlex, Leonardo Tozzi has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 16 papers in Experimental and Cognitive Psychology and 10 papers in Biological Psychiatry. Recurrent topics in Leonardo Tozzi's work include Functional Brain Connectivity Studies (20 papers), Mental Health Research Topics (13 papers) and Stress Responses and Cortisol (10 papers). Leonardo Tozzi is often cited by papers focused on Functional Brain Connectivity Studies (20 papers), Mental Health Research Topics (13 papers) and Stress Responses and Cortisol (10 papers). Leonardo Tozzi collaborates with scholars based in United States, Ireland and Germany. Leonardo Tozzi's co-authors include Thomas Frodl, Veronica O’Keane, Kelly Doolin, Chloë Farrell, Leanne M. Williams, Darren Roddy, Erik O’Hanlon, Elena Román, Mayuresh S. Korgaonkar and Andrew Harkin and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Nature reviews. Neuroscience.

In The Last Decade

Leonardo Tozzi

43 papers receiving 1.3k 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.

Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety

2024 80 citations Leonardo Tozzi, Xue Zhang et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonardo Tozzi United States	20	528	318	314	291	258	46	1.3k
Jie Fan China	19	509 1.0×	287 0.9×	189 0.6×	238 0.8×	469 1.8×	53	1.4k
Gustavo A. Angarita United States	23	496 0.9×	330 1.0×	202 0.6×	278 1.0×	370 1.4×	74	1.8k
Andrea Escelsior Italy	21	477 0.9×	326 1.0×	164 0.5×	248 0.9×	342 1.3×	58	1.4k
Ho‐Kyoung Yoon South Korea	24	403 0.8×	427 1.3×	183 0.6×	247 0.8×	266 1.0×	68	1.5k
Minna Valkonen‐Korhonen Finland	20	504 1.0×	204 0.6×	201 0.6×	228 0.8×	215 0.8×	49	1.4k
Emily L. Belleau United States	15	367 0.7×	198 0.6×	196 0.6×	204 0.7×	294 1.1×	37	956
Darragh Downey United Kingdom	20	548 1.0×	399 1.3×	161 0.5×	176 0.6×	292 1.1×	33	1.4k
Christopher L. Averill United States	21	879 1.7×	334 1.1×	288 0.9×	456 1.6×	406 1.6×	39	1.8k
Mitzy Kennis Netherlands	16	471 0.9×	394 1.2×	280 0.9×	133 0.5×	520 2.0×	27	1.3k
Lara C. Foland‐Ross United States	26	890 1.7×	428 1.3×	241 0.8×	188 0.6×	348 1.3×	57	2.1k

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-authorship network of co-authors of Leonardo Tozzi

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Tozzi. A scholar is included among the top collaborators of Leonardo Tozzi 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 Leonardo Tozzi. Leonardo Tozzi 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

Hack, Laura M., Leonardo Tozzi, Xue Zhang, et al.. (2025). A stratified precision medicine trial targeting α2A-adrenergic receptor agonism as a treatment for the cognitive biotype of depression. Nature Mental Health. 3(11). 1363–1373.

Tozzi, Leonardo, Claire Bertrand, Laura M. Hack, et al.. (2024). A cognitive neural circuit biotype of depression showing functional and behavioral improvement after transcranial magnetic stimulation in the B-SMART-fMRI trial. Nature Mental Health. 2(8). 987–998. 10 indexed citations

Zhang, Xue, Adam Pines, Patrick Stetz, et al.. (2024). Adaptive cognitive control circuit changes associated with problem-solving ability and depression symptom outcomes over 24 months. Science Translational Medicine. 16(763). eadh3172–eadh3172. 4 indexed citations

Tozzi, Leonardo, Xue Zhang, Adam Pines, et al.. (2024). Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety. Nature Medicine. 30(7). 2076–2087. 80 indexed citations breakdown →

Tozzi, Leonardo, et al.. (2024). Brain Circuit–Derived Biotypes for Treatment Selection in Mood Disorders: A Critical Review and Illustration of a Functional Neuroimaging Tool for Clinical Translation. Biological Psychiatry. 96(7). 552–563. 7 indexed citations

Hack, Laura M., et al.. (2024). 161. Targeting the Cognitive Biotype of Depression With a Selective Alpha 2A Receptor Agonist Using a Stratified Precision Medicine Design. Biological Psychiatry. 95(10). S165–S165.

Tozzi, Leonardo, Kasia Kozlowska, Michael Kohn, et al.. (2024). Transdiagnostic neurocognitive dysfunction in children and adolescents with mental illness. Nature Mental Health. 2(3). 299–309. 6 indexed citations

Hack, Laura M., Leonardo Tozzi, Mayuresh S. Korgaonkar, et al.. (2023). A Cognitive Biotype of Depression Linking Symptoms, Behavior Measures, Neural Circuits, and Differential Treatment Outcomes. JAMA Network Open. 6(6). e2318411–e2318411. 55 indexed citations

Metzger, Coraline D., Claus Tempelmann, Martin Kanowski, et al.. (2022). Long-term cortisol stress response in depression and comorbid anxiety is linked with reduced N-acetylaspartate in the anterior cingulate cortex. The World Journal of Biological Psychiatry. 24(1). 34–45. 8 indexed citations

10.

Metzger, Coraline D., Dorothee Maria Gescher, Angela Carballedo, et al.. (2022). C-reactive protein is related to a distinct set of alterations in resting-state functional connectivity contributing to a differential pathophysiology of major depressive disorder. Psychiatry Research Neuroimaging. 321. 111440–111440. 8 indexed citations

11.

Tozzi, Leonardo, et al.. (2021). Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination. NeuroImage Clinical. 30. 102570–102570. 71 indexed citations

12.

Tozzi, Leonardo, Elena Tuzhilina, Matthew F. Glasser, Trevor Hastie, & Leanne M. Williams. (2021). Relating whole-brain functional connectivity to self-reported negative emotion in a large sample of young adults using group regularized canonical correlation analysis. NeuroImage. 237. 118137–118137. 9 indexed citations

13.

Tozzi, Leonardo, et al.. (2020). Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices. Network Neuroscience. 4(3). 925–945. 33 indexed citations

14.

Quidé, Yann, et al.. (2020). The Impact of Childhood Trauma on Developing Bipolar Disorder: Current Understanding and Ensuring Continued Progress. SHILAP Revista de lepidopterología.

15.

Mikoláš, Pavol, Leonardo Tozzi, Kelly Doolin, et al.. (2019). Effects of early life adversity and FKBP5 genotype on hippocampal subfields volume in major depression. Journal of Affective Disorders. 252. 152–159. 36 indexed citations

16.

Tozzi, Leonardo, Andrea Goldstein‐Piekarski, Mayuresh S. Korgaonkar, & Leanne M. Williams. (2019). Connectivity of the Cognitive Control Network During Response Inhibition as a Predictive and Response Biomarker in Major Depression: Evidence From a Randomized Clinical Trial. Biological Psychiatry. 87(5). 462–472. 64 indexed citations

17.

Roddy, Darren, Chloë Farrell, Kelly Doolin, et al.. (2018). The Hippocampus in Depression: More Than the Sum of Its Parts? Advanced Hippocampal Substructure Segmentation in Depression. Biological Psychiatry. 85(6). 487–497. 197 indexed citations

18.

Roddy, Darren, Elena Román, Chloë Farrell, et al.. (2018). Awakening Neuropsychiatric Research Into the Stria Medullaris: Development of a Diffusion-Weighted Imaging Tractography Protocol of This Key Limbic Structure. Frontiers in Neuroanatomy. 12. 39–39. 14 indexed citations

19.

Tozzi, Leonardo, Chloë Farrell, Linda Booij, et al.. (2017). Epigenetic Changes of FKBP5 as a Link Connecting Genetic and Environmental Risk Factors with Structural and Functional Brain Changes in Major Depression. Neuropsychopharmacology. 43(5). 1138–1145. 90 indexed citations

20.

Doolin, Kelly, Chloë Farrell, Leonardo Tozzi, et al.. (2017). Diurnal Hypothalamic-Pituitary-Adrenal Axis Measures and Inflammatory Marker Correlates in Major Depressive Disorder. International Journal of Molecular Sciences. 18(10). 2226–2226. 48 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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