Daniela Perrone
Impact in
- Organic Chemistry top 2%
- Carbohydrate Chemistry and Synthesis
- Synthetic Organic Chemistry Methods
- Asymmetric Synthesis and Catalysis
- Click Chemistry and Applications
- Pharmaceutical Science top 5%
Papers in
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- Chemical Synthesis and Analysis 20
- Glycosylation and Glycoproteins Research 8
- RNA Interference and Gene Delivery 7
- Muscle Physiology and Disorders 6
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- Carbohydrate Chemistry and Synthesis 17
- Click Chemistry and Applications 11
- Co-authors
- Alessandro Dondoni (15 shared papers)Alessandro Dondoni (13 shared papers)Elena Marchesi (21 shared papers)Pedro Merino (6 shared papers)Maria Luisa Navacchia (15 shared papers)Pier Paolo Giovannini (5 shared papers)Marco Fogagnolo (8 shared papers)Dario Balestra (3 shared papers)
In The Last Decade
Daniela Perrone
73 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Organic Chemistry 926
- Pharmaceutical Science 130
- Molecular Biology 1.0k
- Virology 29
- Oncology 158
Countries citing papers authored by Daniela Perrone
This map shows the geographic impact of Daniela Perrone'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 Perrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Perrone more than expected).
Fields of papers citing papers by Daniela Perrone
This network shows the impact of papers produced by Daniela Perrone. 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 Perrone. The network helps show where Daniela Perrone may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Perrone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2012 | 73 | |
| 3 | 2002 | 65 | |
| 4 | 2002 | 65 | |
| 5 | 1993 | 58 | |
| 6 | 2020 | 57 | |
| 7 | 1995 | 56 | |
| 8 | 2014 | 54 | |
| 9 | 1993 | 53 | |
| 10 | 1993 | 50 | |
| 11 | 1997 | 50 | |
| 12 | 1995 | 44 | |
| 13 | 1995 | 41 | |
| 14 | 2003 | 41 | |
| 15 | 1999 | 40 | |
| 16 | 2009 | 39 | |
| 17 | 2020 | 32 | |
| 18 | 2003 | 32 | |
| 19 | 2001 | 31 | |
| 20 | 2008 | 30 |
About Daniela Perrone
Daniela Perrone is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Oncology and Pharmaceutical Science, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (20 papers), Carbohydrate Chemistry and Synthesis (17 papers), HIV/AIDS drug development and treatment (12 papers), Click Chemistry and Applications (11 papers), Glycosylation and Glycoproteins Research (8 papers), RNA Interference and Gene Delivery (7 papers), Drug Transport and Resistance Mechanisms (7 papers) and Muscle Physiology and Disorders (6 papers). The work is most often cited by research in Organic Chemistry (926 citations), Pharmaceutical Science (130 citations), Molecular Biology (1.0k citations), Virology (29 citations) and Oncology (158 citations). Daniela Perrone has collaborated with scholars based in Italy, France and Taiwan. Frequent co-authors include Alessandro Dondoni, Alessandro Dondoni, Elena Marchesi, Pedro Merino, Maria Luisa Navacchia, Pier Paolo Giovannini, Marco Fogagnolo, Dario Balestra, Mirko Pinotti and Alberto Marra. Their work appears in journals such as Molecules, The Journal of Organic Chemistry, Tetrahedron Letters, Synthesis and Tetrahedron.
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.