Fabìo Macciardi
- Molecular Biology top 2%
- Genetics top 0.5%
- Psychiatry and Mental health top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Cognitive Neuroscience top 1%
- Co-authors
- James L. KennedyEmanuela MundoSteven G. PotkinPierandrea MugliaEnrico SmeraldiGuia GuffantiNicole KingMaria Neves-Pereira
- Topics
- Genetic Associations and Epidemiology (44 papers)Bipolar Disorder and Treatment (31 papers)Schizophrenia research and treatment (30 papers)
- Journals
- The LancetBioinformaticsPLoS ONE
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Fabìo Macciardi
203 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 161
- Molecular Biology 2.8k
- Genetics 2.3k
- Psychiatry and Mental health 2.3k
- Cellular and Molecular Neuroscience 2.1k
- Cognitive Neuroscience 1.3k
Countries citing papers authored by Fabìo Macciardi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 13 | |
| 4 | 14 | |
| 5 | 30 | |
| 6 | 13 | |
| 7 | 23 | |
| 8 | 110 | |
| 9 | 23 | |
| 10 | 38 | |
| 11 | 5 | |
| 12 | 24 | |
| 13 | 65 | |
| 14 | 494 | |
| 15 | Moclobemide response in depressed patients: Association study with a functional polymorphism in the monoamine oxidase-A promoter | 14 |
| 16 | 90 | |
| 17 | 34 | |
| 18 | Association between social adjustment and candidate genes polymorphism in remitted bipolar and unipolar patients | 2 |
| 19 | Contribution of genetic polymorphism of ACE and alpha-adducin to salt sensitivity of hypertension. | 1 |
| 20 | 80 |
About Fabìo Macciardi
Fabìo Macciardi is a scholar working on Biological Psychiatry, Psychiatry and Mental health and Genetics, having authored 206 papers that have together received 7.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (44 papers), Bipolar Disorder and Treatment (31 papers) and Schizophrenia research and treatment (30 papers). The work is most often cited by research in Biological Psychiatry (530 citations), Psychiatry and Mental health (2.3k citations) and Cellular and Molecular Neuroscience (2.1k citations). Fabìo Macciardi has collaborated with scholars based in Italy, United States and Canada. Frequent 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. Their work appears in journals such as The Lancet, Bioinformatics and PLoS ONE.
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.