Fabìo Macciardi

35.5k total citations
206 papers, 7.8k citations indexed

About

Fabìo Macciardi is a scholar working on Molecular Biology, Genetics and Psychiatry and Mental health. According to data from OpenAlex, Fabìo Macciardi has authored 206 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 75 papers in Genetics and 64 papers in Psychiatry and Mental health. Recurrent topics in Fabìo Macciardi's work include Genetic Associations and Epidemiology (44 papers), Bipolar Disorder and Treatment (31 papers) and Schizophrenia research and treatment (30 papers). Fabìo Macciardi is often cited by papers focused on Genetic Associations and Epidemiology (44 papers), Bipolar Disorder and Treatment (31 papers) and Schizophrenia research and treatment (30 papers). Fabìo Macciardi collaborates with scholars based in Italy, United States and Canada. Fabìo Macciardi's co-authors include James L. Kennedy, Emanuela Mundo, Steven G. Potkin, Pierandrea Muglia, Enrico Smeraldi, Guia Guffanti, Nicole King, Maria Neves-Pereira, Jessica A. Turner and Anita Lakatos and has published in prestigious journals such as The Lancet, Bioinformatics and PLoS ONE.

In The Last Decade

Fabìo Macciardi

203 papers receiving 7.5k citations

Peers

Fabìo Macciardi
John R. Kelsoe United States
Herbert M. Lachman United States
Sven Cichon Germany
Vishwajit L. Nimgaonkar United States
Ryota Hashimoto Japan
George Kirov United Kingdom
Thomas Werge Denmark
Peter Propping Germany
Francis J. McMahon United States
Toshiya Inada Japan
John R. Kelsoe United States
Fabìo Macciardi
Citations per year, relative to Fabìo Macciardi Fabìo Macciardi (= 1×) peers John R. Kelsoe

Countries citing papers authored by Fabìo Macciardi

Since Specialization
Citations

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

Fields of papers citing papers by Fabìo Macciardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabìo Macciardi

This figure shows the co-authorship network connecting the top 25 collaborators of Fabìo Macciardi. A scholar is included among the top collaborators of Fabìo Macciardi 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 Fabìo Macciardi. Fabìo Macciardi 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.
2.
Iraji, Armin, Jiayu Chen, Ashkan Faghiri, et al.. (2023). Spatial Dynamic Subspaces Encode Sex-Specific Schizophrenia Disruptions in Transient Network Overlap and Their Links to Genetic Risk. Biological Psychiatry. 96(3). 188–197. 9 indexed citations
3.
Chen, Jiayu, Xiang Li, Vince D. Calhoun, et al.. (2021). Sparse deep neural networks on imaging genetics for schizophrenia case–control classification. Human Brain Mapping. 42(8). 2556–2568. 13 indexed citations
4.
Tilot, Amanda K., Ekaterina Khramtsova, Dan Liang, et al.. (2020). The Evolutionary History of Common Genetic Variants Influencing Human Cortical Surface Area. Cerebral Cortex. 31(4). 1873–1887. 14 indexed citations
5.
Fiandaca, Massimo S., Mark Mapstone, Amin Mahmoodi, et al.. (2018). Plasma metabolomic biomarkers accurately classify acute mild traumatic brain injury from controls. PLoS ONE. 13(4). e0195318–e0195318. 30 indexed citations
6.
Groß, Thomas, Mark Mapstone, Ricardo Miramontes, et al.. (2018). Toward Reproducible Results from Targeted Metabolomic Studies: Perspectives for Data Pre-processing and a Basis for Analytic Pipeline Development. Current Topics in Medicinal Chemistry. 18(11). 883–895. 13 indexed citations
7.
Guffanti, Guia, Federica Torri, Jerod M. Rasmussen, et al.. (2013). Increased CNV-Region deletions in mild cognitive impairment (MCI) and Alzheimer's disease (AD) subjects in the ADNI sample. Genomics. 102(2). 112–122. 23 indexed citations
8.
Guella, Ilaria, Adolfo Sequeira, Brandi Rollins, et al.. (2013). Analysis of miR-137 expression and rs1625579 in dorsolateral prefrontal cortex. Journal of Psychiatric Research. 47(9). 1215–1221. 110 indexed citations
9.
Liu, Jingyu, Mohammad M. Ghassemi, Andrew M. Michael, et al.. (2012). An ICA with reference approach in identification of genetic variation and associated brain networks. Frontiers in Human Neuroscience. 6. 21–21. 23 indexed citations
10.
Helmer, Karl G., José Luis Ambite, Rachana Ananthakrishnan, et al.. (2011). Enabling collaborative research using the Biomedical Informatics Research Network (BIRN). Journal of the American Medical Informatics Association. 18(4). 416–422. 38 indexed citations
11.
Ott, Jürg, Fabìo Macciardi, Yuanyuan Shen, et al.. (2010). Pilot Study on Schizophrenia in Sardinia. Human Heredity. 70(2). 92–96. 5 indexed citations
12.
Wong, Albert H.C., Joseph Trakalo, Tasha Cate‐Carter, et al.. (2003). N‐methyl‐d‐aspartate receptor NR1 subunit gene (GRIN1) in schizophrenia: TDT and case‐control analyses. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 119B(1). 24–27. 24 indexed citations
13.
Lerer, Bernard & Fabìo Macciardi. (2002). Pharmacogenetics of antidepressant and mood-stabilizing drugs: a review of candidate-gene studies and future research directions. The International Journal of Neuropsychopharmacology. 5(3). 255–75. 65 indexed citations
14.
Neves-Pereira, Maria, Emanuela Mundo, Pierandrea Muglia, et al.. (2002). The Brain-Derived Neurotrophic Factor Gene Confers Susceptibility to Bipolar Disorder: Evidence from a Family-Based Association Study. The American Journal of Human Genetics. 71(3). 651–655. 494 indexed citations
15.
Müller, D, Thomas G. Schulze, Fabìo Macciardi, et al.. (2000). Moclobemide response in depressed patients: Association study with a functional polymorphism in the monoamine oxidase-A promoter. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 96(4). 14 indexed citations
16.
Muglia, Pierandrea, Umesh Jain, Fabìo Macciardi, & James L. Kennedy. (2000). Adult attention deficit hyperactivity disorder and the dopamine D4 receptor gene. American Journal of Medical Genetics. 96(3). 273–277. 90 indexed citations
17.
Serretti, Alessandro, Maria Cristina Cavallini, Fabìo Macciardi, et al.. (1999). Social adjustment and self-esteem in remitted patients with mood disorders. European Psychiatry. 14(3). 137–142. 34 indexed citations
18.
Blairy, Sylvie, Daniel Souery, Olivier Lipp, et al.. (1998). Association between social adjustment and candidate genes polymorphism in remitted bipolar and unipolar patients. American Journal of Medical Genetics Part A. 81(6). 522. 2 indexed citations
19.
Barlassina, Cristina, Fabìo Macciardi, Lorena Citterio, et al.. (1997). Contribution of genetic polymorphism of ACE and alpha-adducin to salt sensitivity of hypertension.. Hypertension. 30(4). 82–82. 1 indexed citations
20.
Cascella, Nicola G., Fabìo Macciardi, Maria Cristina Cavallini, & Enrico Smeraldi. (1994). d-Cycloserine adjuvant therapy to conventional neuroleptic treatment in schizophrenia: an open-label study. Journal of Neural Transmission. 95(2). 105–111. 80 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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