Mario Allegra
- Food Science top 0.2%
- Endocrine and Autonomic Systems top 0.5%
- Plant Science top 2%
- Molecular Biology top 10%
- Physiology top 5%
- Co-authors
- Luisa TesoriereM. A. LivreaMaria A. LivreaCarla GentileDaniela ButeraAlessandro AttanzioAnna Maria PintaudiRüssel J. Reiter
- Topics
- Botanical Research and Applications (32 papers)Erythrocyte Function and Pathophysiology (10 papers)Bee Products Chemical Analysis (9 papers)
- Journals
- American Journal of Clinical NutritionJournal of Agricultural and Food ChemistryBiochemical and Biophysical Research Communications
- Partner nations
- ItalySpainUnited Kingdom
In The Last Decade
Mario Allegra
78 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Food Science 2.0k
- Endocrine and Autonomic Systems 1.1k
- Plant Science 899
- Molecular Biology 834
- Physiology 740
Countries citing papers authored by Mario Allegra
This map shows the geographic impact of Mario Allegra'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 Mario Allegra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Allegra more than expected).
Fields of papers citing papers by Mario Allegra
This network shows the impact of papers produced by Mario Allegra. 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 Mario Allegra. The network helps show where Mario Allegra may publish in the future.
Co-authorship network of co-authors of Mario Allegra
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Allegra. A scholar is included among the top collaborators of Mario Allegra 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 Mario Allegra. Mario Allegra 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 | 3 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 20 | |
| 9 | 10 | |
| 10 | 12 | |
| 11 | 30 | |
| 12 | 20 | |
| 13 | 26 | |
| 14 | 10 | |
| 15 | 22 | |
| 16 | 7 | |
| 17 | 25 | |
| 18 | 16 | |
| 19 | 20 | |
| 20 | 23 |
About Mario Allegra
Mario Allegra is a scholar working on Food Science, Biochemistry and Endocrine and Autonomic Systems, having authored 81 papers that have together received 5.0k indexed citations. Recurring topics across this work include Botanical Research and Applications (32 papers), Erythrocyte Function and Pathophysiology (10 papers) and Bee Products Chemical Analysis (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Food Science (2.0k citations) and Biochemistry (469 citations). Mario Allegra has collaborated with scholars based in Italy, Spain and United Kingdom. Frequent co-authors include Luisa Tesoriere, M. A. Livrea, Maria A. Livrea, Carla Gentile, Daniela Butera, Alessandro Attanzio, Anna Maria Pintaudi, Rüssel J. Reiter, R. J. Reiter and Lucien C. Manchester. Their work appears in journals such as American Journal of Clinical Nutrition, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.
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.