Antonella De Donno
- Infectious Diseases top 5%
- Health, Toxicology and Mutagenesis top 5%
- Pollution top 5%
- Epidemiology
- Water Science and Technology top 10%
- Co-authors
- Francesco BagordoTiziana GrassiFrancesca SerioAdele IdoloAlessandra PanìcoMarcello GuidoMaria Rosaria TumoloPier Paolo Miglietta
- Topics
- Viral gastroenteritis research and epidemiology (9 papers)Air Quality and Health Impacts (8 papers)Multiple Sclerosis Research Studies (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited StatesRomania
In The Last Decade
Antonella De Donno
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 163
- Infectious Diseases 250
- Health, Toxicology and Mutagenesis 208
- Pollution 201
- Epidemiology 166
- Water Science and Technology 158
Countries citing papers authored by Antonella De Donno
This map shows the geographic impact of Antonella De Donno'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 Antonella De Donno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonella De Donno more than expected).
Fields of papers citing papers by Antonella De Donno
This network shows the impact of papers produced by Antonella De Donno. 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 Antonella De Donno. The network helps show where Antonella De Donno may publish in the future.
Co-authorship network of co-authors of Antonella De Donno
This figure shows the co-authorship network connecting the top 25 collaborators of Antonella De Donno. A scholar is included among the top collaborators of Antonella De Donno based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Antonella De Donno. Antonella De Donno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 16 | |
| 8 | 4 | |
| 9 | 34 | |
| 10 | 52 | |
| 11 | 14 | |
| 12 | 32 | |
| 13 | 37 | |
| 14 | Efficacy of a Dermatological Gel Based on Ozonized Sunflower Seed Oil (Oz.Or.Oil 30) on Bedsores: A Pilot Study | 2 |
| 15 | 18 | |
| 16 | 79 | |
| 17 | 7 | |
| 18 | 20 | |
| 19 | 10 | |
| 20 | 6 |
About Antonella De Donno
Antonella De Donno is a scholar working on Infectious Diseases, Geochemistry and Petrology and Health, Toxicology and Mutagenesis, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Air Quality and Health Impacts (8 papers) and Multiple Sclerosis Research Studies (5 papers). The work is most often cited by research in Pollution (201 citations), Industrial and Manufacturing Engineering (139 citations) and Health, Toxicology and Mutagenesis (208 citations). Antonella De Donno has collaborated with scholars based in Italy, United States and Romania. Frequent co-authors include Francesco Bagordo, Tiziana Grassi, Francesca Serio, Adele Idolo, Alessandra Panìco, Marcello Guido, Maria Rosaria Tumolo, Pier Paolo Miglietta, Francesco Paolo Fanizzi and Francesca Intini. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and International Journal of Molecular Sciences.
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.