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)Maria Luisa Navacchia (15 shared papers)Pedro Merino (6 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 1.6k citations
Peers
Comparison fields: 5 of 100
- Organic Chemistry 832
- Pharmaceutical Science 111
- Molecular Biology 952
- Oncology 158
- Virology 27
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 | 107 | |
| 2 | 2012 | 69 | |
| 3 | 2002 | 60 | |
| 4 | 2002 | 59 | |
| 5 | 2020 | 54 | |
| 6 | 1995 | 53 | |
| 7 | 2014 | 53 | |
| 8 | 1993 | 49 | |
| 9 | 1997 | 48 | |
| 10 | 1993 | 46 | |
| 11 | 1993 | 44 | |
| 12 | 2003 | 39 | |
| 13 | 2009 | 38 | |
| 14 | 1995 | 36 | |
| 15 | 1999 | 34 | |
| 16 | 2020 | 31 | |
| 17 | 2003 | 31 | |
| 18 | 2008 | 30 | |
| 19 | 2009 | 30 | |
| 20 | 2018 | 29 |
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 1.6k 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 (832 citations), Pharmaceutical Science (111 citations), Molecular Biology (952 citations), Oncology (158 citations) and Virology (27 citations). Daniela Perrone has collaborated with scholars based in Italy, France and Taiwan. Frequent co-authors include Alessandro Dondoni, Alessandro Dondoni, Elena Marchesi, Maria Luisa Navacchia, Pedro Merino, Pier Paolo Giovannini, Marco Fogagnolo, Dario Balestra, Mirko Pinotti and Barbara Pavan. Their work appears in journals such as The Journal of Organic Chemistry, Molecules, 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.