Anna Notaro
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Glycosylation and Glycoproteins Research 7
- Genomics and Phylogenetic Studies 4
- Ecology 9
- Bacteriophages and microbial interactions 9
- Co-authors
- Cristina De Castro (20 shared papers)Immacolata Speciale (10 shared papers)Antonio Molinaro (12 shared papers)Flaviana Di Lorenzo (3 shared papers)Pilar García-Vello (2 shared papers)Alba Silipo (1 shared paper)Roberta Marchetti (1 shared paper)Johanna J. Kenyon (2 shared papers)
- Journals
- Carbohydrate Research (5 papers)Angewandte Chemie International Edition (2 papers)Communications Biology (2 papers)Chemical Reviews (1 paper)mBio (1 paper)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Anna Notaro
20 papers receiving 335 citations
Peers
Comparison fields: 5 of 70
- Molecular Medicine 36
- Endocrinology 34
- Aquatic Science 29
- Ecology 92
- Plant Science 105
Countries citing papers authored by Anna Notaro
This map shows the geographic impact of Anna Notaro'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 Anna Notaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Notaro more than expected).
Fields of papers citing papers by Anna Notaro
This network shows the impact of papers produced by Anna Notaro. 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 Anna Notaro. The network helps show where Anna Notaro may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Notaro, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 141 | |
| 2 | 2017 | 36 | |
| 3 | 2017 | 34 | |
| 4 | 2022 | 22 | |
| 5 | 2020 | 18 | |
| 6 | 2021 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2021 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2022 | 1 |
About Anna Notaro
Anna Notaro is a scholar working on Molecular Biology, Ecology, Epidemiology, Infectious Diseases and Organic Chemistry, having authored 22 papers that have together received 338 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (9 papers), Glycosylation and Glycoproteins Research (7 papers), Carbohydrate Chemistry and Synthesis (5 papers), Plant Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Genomics and Phylogenetic Studies (4 papers), Infections and bacterial resistance (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Molecular Medicine (36 citations), Endocrinology (34 citations), Aquatic Science (29 citations), Ecology (92 citations) and Plant Science (105 citations). Anna Notaro has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Cristina De Castro, Immacolata Speciale, Antonio Molinaro, Flaviana Di Lorenzo, Pilar García-Vello, Alba Silipo, Roberta Marchetti, Johanna J. Kenyon, Ruth M. Hall and Li Yang Hsu. Their work appears in journals such as Carbohydrate Research, Angewandte Chemie International Edition, Communications Biology, Chemical Reviews and mBio.
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.