Daniela Perrone
Impact in
- Organic Chemistry top 2%
- Carbohydrate Chemistry and Synthesis
- Asymmetric Synthesis and Catalysis
- Synthetic Organic Chemistry Methods
- Click Chemistry and Applications
- Pharmaceutical Science top 5%
Papers in
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- Carbohydrate Chemistry and Synthesis 14
- Click Chemistry and Applications 10
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- Chemical Synthesis and Analysis 16
- RNA Interference and Gene Delivery 8
- Muscle Physiology and Disorders 7
- Glycosylation and Glycoproteins Research 7
- Co-authors
- Alessandro Dondoni (14 shared papers)Alessandro Dondoni (10 shared papers)Elena Marchesi (21 shared papers)Pedro Merino (6 shared papers)Maria Luisa Navacchia (15 shared papers)Pier Paolo Giovannini (4 shared papers)Marco Fogagnolo (8 shared papers)Mirko Pinotti (3 shared papers)
In The Last Decade
Daniela Perrone
71 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Organic Chemistry 914
- Pharmaceutical Science 134
- Molecular Biology 1.1k
- Oncology 164
- Virology 29
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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 112 | |
| 2 | 2012 | 73 | |
| 3 | 2002 | 66 | |
| 4 | 2002 | 65 | |
| 5 | 2009 | 65 | |
| 6 | 2020 | 62 | |
| 7 | 1993 | 57 | |
| 8 | 1995 | 56 | |
| 9 | 2014 | 54 | |
| 10 | 1993 | 53 | |
| 11 | 1993 | 49 | |
| 12 | 1997 | 49 | |
| 13 | 1995 | 42 | |
| 14 | 2003 | 41 | |
| 15 | 1999 | 40 | |
| 16 | 1995 | 39 | |
| 17 | 2009 | 39 | |
| 18 | 2020 | 33 | |
| 19 | 2001 | 32 | |
| 20 | 2009 | 31 |
About Daniela Perrone
Daniela Perrone is a scholar working on Organic Chemistry, Molecular Biology, Infectious Diseases, Pharmaceutical Science and Oncology, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (16 papers), Carbohydrate Chemistry and Synthesis (14 papers), HIV/AIDS drug development and treatment (12 papers), Click Chemistry and Applications (10 papers), RNA Interference and Gene Delivery (8 papers), Muscle Physiology and Disorders (7 papers), Glycosylation and Glycoproteins Research (7 papers) and Drug Transport and Resistance Mechanisms (7 papers). The work is most often cited by research in Organic Chemistry (914 citations), Pharmaceutical Science (134 citations), Molecular Biology (1.1k citations), Oncology (164 citations) and Virology (29 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, Mirko Pinotti, Dario Balestra 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.