Daniela Beccati
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
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- Carbohydrate Chemistry and Synthesis
Papers in
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- Glycosylation and Glycoproteins Research 8
- Phytochemical Studies and Bioactivities 2
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- Proteoglycans and glycosaminoglycans research 7
- Co-authors
- Marco Guerrini (2 shared papers)Israël Vlodavsky (1 shared paper)Neta Ilan (1 shared paper)Ghada Abboud-Jarrous (1 shared paper)Flonia Levy‐Adam (1 shared paper)Gabriela Guillena (1 shared paper)Adriana Carvalho de Souza (1 shared paper)Johannis P. Kamerling (1 shared paper)
- Journals
- iScience (1 paper)Scientific Reports (1 paper)Journal of the American Academy of Dermatology (1 paper)Analytical and Bioanalytical Chemistry (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Daniela Beccati
10 papers receiving 282 citations
Peers
Comparison fields: 5 of 60
- Cell Biology 194
- Organic Chemistry 90
- Molecular Biology 215
- Hematology 32
- Immunology and Allergy 11
Countries citing papers authored by Daniela Beccati
This map shows the geographic impact of Daniela Beccati'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 Daniela Beccati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Beccati more than expected).
Fields of papers citing papers by Daniela Beccati
This network shows the impact of papers produced by Daniela Beccati. 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 Daniela Beccati. The network helps show where Daniela Beccati may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Beccati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 111 | |
| 2 | 2005 | 55 | |
| 3 | 2006 | 43 | |
| 4 | 2010 | 21 | |
| 5 | 2020 | 18 | |
| 6 | 2012 | 17 | |
| 7 | 2012 | 14 | |
| 8 | 2019 | 9 | |
| 9 | 2016 | 3 | |
| 10 | 2014 | 2 | |
| 11 | 2016 | 1 |
About Daniela Beccati
Daniela Beccati is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Hematology and Surgery, having authored 11 papers that have together received 294 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Proteoglycans and glycosaminoglycans research (7 papers), Carbohydrate Chemistry and Synthesis (3 papers), Platelet Disorders and Treatments (2 papers), Phytochemical Studies and Bioactivities (2 papers), Allergic Rhinitis and Sensitization (1 paper), Dermatology and Skin Diseases (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Cell Biology (194 citations), Organic Chemistry (90 citations), Molecular Biology (215 citations), Hematology (32 citations) and Immunology and Allergy (11 citations). Daniela Beccati has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Marco Guerrini, Israël Vlodavsky, Neta Ilan, Ghada Abboud-Jarrous, Flonia Levy‐Adam, Gabriela Guillena, Adriana Carvalho de Souza, Johannis P. Kamerling, G.D. Batema and Gerard van Koten. Their work appears in journals such as iScience, Scientific Reports, Journal of the American Academy of Dermatology, Analytical and Bioanalytical Chemistry 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.