Sergio Ammendola
- Molecular Biology
- Food Science top 10%
- Ecology
- Organic Chemistry
- Biotechnology top 10%
- Co-authors
- Andrei SmertenkoEzio RiccaLoredana BaccigalupiPhạm Hùng VânSimon M. CuttingNgô Thị HoaRoberto ScandurraLaura Politi
- Topics
- Enzyme Structure and Function (4 papers)Machine Learning in Bioinformatics (3 papers)Natural product bioactivities and synthesis (3 papers)
In The Last Decade
Sergio Ammendola
25 papers receiving 571 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 335
- Food Science 129
- Ecology 61
- Organic Chemistry 58
- Biotechnology 58
Countries citing papers authored by Sergio Ammendola
This map shows the geographic impact of Sergio Ammendola'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 Sergio Ammendola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Ammendola more than expected).
Fields of papers citing papers by Sergio Ammendola
This network shows the impact of papers produced by Sergio Ammendola. 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 Sergio Ammendola. The network helps show where Sergio Ammendola may publish in the future.
Co-authorship network of co-authors of Sergio Ammendola
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Ammendola. A scholar is included among the top collaborators of Sergio Ammendola 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 Sergio Ammendola. Sergio Ammendola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 8 | |
| 4 | 23 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | Antioxidant properties of hydroxytyrosyl acetate compared with hydroxytyrosol and their protective capacity against oxidative stress in human neuroblastoma cells | 5 |
| 9 | 2 | |
| 10 | 59 | |
| 11 | 2 | |
| 12 | 30 | |
| 13 | Structured Kernels for the Automatic Detection of Protein Active Sites | 0 |
| 14 | 4 | |
| 15 | 24 | |
| 16 | 39 | |
| 17 | 204 | |
| 18 | 7 | |
| 19 | 8 | |
| 20 | 75 |
About Sergio Ammendola
Sergio Ammendola is a scholar working on Biological Psychiatry, Biochemistry and Molecular Biology, having authored 27 papers that have together received 600 indexed citations. Recurring topics across this work include Enzyme Structure and Function (4 papers), Machine Learning in Bioinformatics (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Food Science (129 citations), Biotechnology (58 citations) and Endocrine and Autonomic Systems (41 citations). Sergio Ammendola has collaborated with scholars based in Italy, Belgium and Canada. Frequent co-authors include Andrei Smertenko, Ezio Ricca, Loredana Baccigalupi, Phạm Hùng Vân, Simon M. Cutting, Ngô Thị Hoa, Roberto Scandurra, Laura Politi, Anna Scotto d’Abusco and Sabato D’Auria. Their work appears in journals such as Applied and Environmental Microbiology, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.
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.