Matteo Adinolfí
- Molecular Biology top 5%
- Pediatrics, Perinatology and Child Health top 0.5%
- Organic Chemistry top 2%
- Genetics top 2%
- Surgery top 5%
- Co-authors
- Alfonso IadonisiGaspare BaroneJon SherlockMichelangelo ParrilliRosa LanzettaIan McCollCharles AkleLorenzo Mangoni
- Topics
- Carbohydrate Chemistry and Synthesis (49 papers)Prenatal Screening and Diagnostics (46 papers)Glycosylation and Glycoproteins Research (31 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Matteo Adinolfí
241 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 2.0k
- Pediatrics, Perinatology and Child Health 1.7k
- Organic Chemistry 1.1k
- Genetics 1.1k
- Surgery 667
Countries citing papers authored by Matteo Adinolfí
This map shows the geographic impact of Matteo Adinolfí'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 Matteo Adinolfí with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Adinolfí more than expected).
Fields of papers citing papers by Matteo Adinolfí
This network shows the impact of papers produced by Matteo Adinolfí. 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 Matteo Adinolfí. The network helps show where Matteo Adinolfí may publish in the future.
Co-authorship network of co-authors of Matteo Adinolfí
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Adinolfí. A scholar is included among the top collaborators of Matteo Adinolfí 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 Matteo Adinolfí. Matteo Adinolfí is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 36 | |
| 3 | 15 | |
| 4 | 4 | |
| 5 | 79 | |
| 6 | 28 | |
| 7 | 11 | |
| 8 | Assessment of quantitative fluorescent multiplex PCR performed on single cells | 2 |
| 9 | Detection of haemoglobinopathies and chromosome aneuploidy from minute DNA samples using multiplex PCR | 1 |
| 10 | 44 | |
| 11 | 36 | |
| 12 | 120 | |
| 13 | 6 | |
| 14 | Is the sex ratio at birth affected by immune selection? | 2 |
| 15 | The Distribution of Human Immunoglobulin Allotypes. | 29 |
| 16 | THE CONFIGURATION OF THE DITERPENE SPIROETHERS FROM MARRUBIUM VULGARE AND FROM LEONOTIS LEONORUS | 16 |
| 17 | 4,4-ジメチル-5,6-エポキシコレスタンのLi/EtNH 2 還元 | 0 |
| 18 | 3 | |
| 19 | 22 | |
| 20 | 60 |
About Matteo Adinolfí
Matteo Adinolfí is a scholar working on Pediatrics, Perinatology and Child Health, Hematology and Organic Chemistry, having authored 248 papers that have together received 6.2k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (49 papers), Prenatal Screening and Diagnostics (46 papers) and Glycosylation and Glycoproteins Research (31 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.7k citations), Genetics (433 citations) and Organic Chemistry (1.1k citations). Matteo Adinolfí has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Alfonso Iadonisi, Gaspare Barone, Jon Sherlock, Michelangelo Parrilli, Rosa Lanzetta, Ian McColl, Charles Akle, Lorenzo Mangoni, Marialuisa Schiattarella and Mary J. Seller. Their work appears in journals such as Nature, The Lancet and Journal of the American Chemical Society.
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.