Ivano De Noni
- Food Science top 0.5%
- Molecular Biology top 5%
- Nutrition and Dietetics top 1%
- Plant Science top 5%
- Animal Science and Zoology top 1%
- Co-authors
- Milda StuknytėStefano CattaneoFabio MasottiL. PellegrinoMaria Ambrogina PaganiP. ResminiSimone GuglielmettiGiovanna Battelli
- Topics
- Protein Hydrolysis and Bioactive Peptides (36 papers)Probiotics and Fermented Foods (33 papers)Proteins in Food Systems (19 papers)
In The Last Decade
Ivano De Noni
109 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Food Science 1.5k
- Molecular Biology 1.4k
- Nutrition and Dietetics 858
- Plant Science 376
- Animal Science and Zoology 362
Countries citing papers authored by Ivano De Noni
This map shows the geographic impact of Ivano De Noni'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 Ivano De Noni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivano De Noni more than expected).
Fields of papers citing papers by Ivano De Noni
This network shows the impact of papers produced by Ivano De Noni. 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 Ivano De Noni. The network helps show where Ivano De Noni may publish in the future.
Co-authorship network of co-authors of Ivano De Noni
This figure shows the co-authorship network connecting the top 25 collaborators of Ivano De Noni. A scholar is included among the top collaborators of Ivano De Noni 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 Ivano De Noni. Ivano De Noni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 16 | |
| 7 | 60 | |
| 8 | 2 | |
| 9 | 46 | |
| 10 | 9 | |
| 11 | 53 | |
| 12 | 26 | |
| 13 | 12 | |
| 14 | 28 | |
| 15 | Significance of furosine index in Taleggio cheese-making. | 1 |
| 16 | Microbiological and chemical investigations on sugar Kefir drink | 16 |
| 17 | 5 | |
| 18 | Lysinoalanine, a molecular marker for characterising natural Mozzarella cheese | 1 |
| 19 | Formation of 2-acetyl-3-D-glucopyranosylfuran (glucosylisomaltol) from nonenzymatic browning in pasta drying. | 39 |
| 20 | Evaluation of heat damage in UHT and in-bottle sterilized milk samples traded in Italy | 3 |
About Ivano De Noni
Ivano De Noni is a scholar working on Food Science, Nutrition and Dietetics and Animal Science and Zoology, having authored 111 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (36 papers), Probiotics and Fermented Foods (33 papers) and Proteins in Food Systems (19 papers). The work is most often cited by research in Food Science (1.5k citations), Nutrition and Dietetics (858 citations) and Animal Science and Zoology (362 citations). Ivano De Noni has collaborated with scholars based in Italy, Türkiye and Finland. Frequent co-authors include Milda Stuknytė, Stefano Cattaneo, Fabio Masotti, L. Pellegrino, Maria Ambrogina Pagani, P. Resmini, Simone Guglielmetti, Giovanna Battelli, Sedef Nehir El and Diego Mora. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Agricultural and Food Chemistry.
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.