Silvia Sacchi
- Biochemistry top 0.05%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Clinical Biochemistry top 0.5%
- Biological Psychiatry top 0.5%
- Co-authors
- Loredano PollegioniGianluca MollaMirella S. PiloneJean‐Pierre MothetLuciano PiubelliGiulia MurtasStéphane H. R. OlietPamela Cappelletti
- Topics
- Amino Acid Enzymes and Metabolism (76 papers)Epigenetics and DNA Methylation (36 papers)Metabolism and Genetic Disorders (26 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Silvia Sacchi
87 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Biochemistry 2.4k
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 1.2k
- Clinical Biochemistry 704
- Biological Psychiatry 569
Countries citing papers authored by Silvia Sacchi
This map shows the geographic impact of Silvia Sacchi'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 Silvia Sacchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Sacchi more than expected).
Fields of papers citing papers by Silvia Sacchi
This network shows the impact of papers produced by Silvia Sacchi. 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 Silvia Sacchi. The network helps show where Silvia Sacchi may publish in the future.
Co-authorship network of co-authors of Silvia Sacchi
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Sacchi. A scholar is included among the top collaborators of Silvia Sacchi 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 Silvia Sacchi. Silvia Sacchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 16 | |
| 6 | 27 | |
| 7 | 41 | |
| 8 | 62 | |
| 9 | 31 | |
| 10 | Structure–function relationships in human d-amino acid oxidase variants corresponding to known SNPs Proteins and proteomics | 1 |
| 11 | 60 | |
| 12 | 50 | |
| 13 | 100 | |
| 14 | 127 | |
| 15 | 7 | |
| 16 | 122 | |
| 17 | 107 | |
| 18 | 2 | |
| 19 | Inhibition of neutrophil migration by laser irradiation | 1 |
| 20 | 72 |
About Silvia Sacchi
Silvia Sacchi is a scholar working on Biochemistry, Biological Psychiatry and Clinical Biochemistry, having authored 88 papers that have together received 3.8k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (76 papers), Epigenetics and DNA Methylation (36 papers) and Metabolism and Genetic Disorders (26 papers). The work is most often cited by research in Biochemistry (2.4k citations), Biological Psychiatry (569 citations) and Clinical Biochemistry (704 citations). Silvia Sacchi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Loredano Pollegioni, Gianluca Molla, Mirella S. Pilone, Jean‐Pierre Mothet, Luciano Piubelli, Giulia Murtas, Stéphane H. R. Oliet, Pamela Cappelletti, Laura Caldinelli and Elena Rosini. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.