Daniela Verga
Impact in
- Toxicology top 5%
- Molecular Biology top 10%
- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- RNA and protein synthesis mechanisms
Papers in
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- DNA and Nucleic Acid Chemistry 24
- Advanced biosensing and bioanalysis techniques 20
- RNA Interference and Gene Delivery 11
- RNA and protein synthesis mechanisms 6
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- Synthesis of Indole Derivatives 5
- Radical Photochemical Reactions 5
- Co-authors
- Marie‐Paule Teulade‐Fichou (12 shared papers)Mauro Freccero (12 shared papers)Filippo Doria (11 shared papers)Florian Hamon (4 shared papers)Anton Granzhan (3 shared papers)Eric Largy (2 shared papers)Marco Di Antonio (3 shared papers)Andreas Marx (4 shared papers)
In The Last Decade
Daniela Verga
35 papers receiving 956 citations
Peers
Comparison fields: 5 of 64
- Toxicology 40
- Molecular Biology 677
- Organic Chemistry 279
- Materials Chemistry 154
- Physical and Theoretical Chemistry 24
Countries citing papers authored by Daniela Verga
This map shows the geographic impact of Daniela Verga'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 Verga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Verga more than expected).
Fields of papers citing papers by Daniela Verga
This network shows the impact of papers produced by Daniela Verga. 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 Verga. The network helps show where Daniela Verga may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Verga, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 116 | |
| 2 | 2010 | 92 | |
| 3 | 2019 | 61 | |
| 4 | 2019 | 56 | |
| 5 | 2009 | 49 | |
| 6 | 2013 | 47 | |
| 7 | 2023 | 44 | |
| 8 | 2006 | 42 | |
| 9 | 2016 | 40 | |
| 10 | 2011 | 39 | |
| 11 | 2020 | 36 | |
| 12 | 2020 | 32 | |
| 13 | 2019 | 32 | |
| 14 | 2015 | 27 | |
| 15 | 2012 | 27 | |
| 16 | 2022 | 26 | |
| 17 | 2006 | 20 | |
| 18 | 2009 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2013 | 15 |
About Daniela Verga
Daniela Verga is a scholar working on Molecular Biology, Organic Chemistry, Ecology, Materials Chemistry and Toxicology, having authored 35 papers that have together received 961 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (24 papers), Advanced biosensing and bioanalysis techniques (20 papers), RNA Interference and Gene Delivery (11 papers), RNA and protein synthesis mechanisms (6 papers), Synthesis of Indole Derivatives (5 papers), Radical Photochemical Reactions (5 papers), Photochromic and Fluorescence Chemistry (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Toxicology (40 citations), Molecular Biology (677 citations), Organic Chemistry (279 citations), Materials Chemistry (154 citations) and Physical and Theoretical Chemistry (24 citations). Daniela Verga has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Marie‐Paule Teulade‐Fichou, Mauro Freccero, Filippo Doria, Florian Hamon, Anton Granzhan, Eric Largy, Marco Di Antonio, Andreas Marx, Jean‐Louis Mergny and Yu Luo. Their work appears in journals such as The Journal of Organic Chemistry, Nucleic Acids Research, Angewandte Chemie International Edition, Molecules and Chemistry - A European Journal.
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.