Daniele Maggioni
- Molecular Biology
- Animal Science and Zoology top 5%
- Oncology
- Agronomy and Crop Science top 5%
- Pharmacology
- Co-authors
- Gabriella NicoliniWerner GaravelloLorenzo PignataroIvanor Nunes do PradoRenato Maria GainiG TrediciR RigolioJair de Araújo Marqués
- Topics
- Ruminant Nutrition and Digestive Physiology (5 papers)Melanoma and MAPK Pathways (5 papers)NF-κB Signaling Pathways (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaExperimental Cell ResearchNeuroreport
- Partner nations
- ItalyBrazilNetherlands
In The Last Decade
Daniele Maggioni
30 papers receiving 606 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 176
- Animal Science and Zoology 144
- Oncology 141
- Agronomy and Crop Science 113
- Pharmacology 80
Countries citing papers authored by Daniele Maggioni
This map shows the geographic impact of Daniele Maggioni'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 Daniele Maggioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Maggioni more than expected).
Fields of papers citing papers by Daniele Maggioni
This network shows the impact of papers produced by Daniele Maggioni. 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 Daniele Maggioni. The network helps show where Daniele Maggioni may publish in the future.
Co-authorship network of co-authors of Daniele Maggioni
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Maggioni. A scholar is included among the top collaborators of Daniele Maggioni 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 Daniele Maggioni. Daniele Maggioni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 19 | |
| 3 | 35 | |
| 4 | 16 | |
| 5 | 40 | |
| 6 | 8 | |
| 7 | 43 | |
| 8 | 12 | |
| 9 | 74 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 19 | |
| 15 | 90 | |
| 16 | Produção e qualidade da carne de bovinos cruzados (Bos taurus taurus vs. Bos taurus indicus) submetidos a duas dietas e abatidos com dois graus de acabamento | 0 |
| 17 | 43 | |
| 18 | INFLUÊNCIA DA PROTEÍNA SOBRE A REPRODUÇÃO ANIMAL: UMA REVISÃO | 2 |
| 19 | 10 | |
| 20 | Partial replacement of corn by cassava starch byproduct on performance and carcass characteristics of feedlot heifers | 2 |
About Daniele Maggioni
Daniele Maggioni is a scholar working on Developmental Neuroscience, Agronomy and Crop Science and Animal Science and Zoology, having authored 32 papers that have together received 626 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (5 papers), Melanoma and MAPK Pathways (5 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Animal Science and Zoology (144 citations), Agronomy and Crop Science (113 citations) and Biochemistry (34 citations). Daniele Maggioni has collaborated with scholars based in Italy, Brazil and Netherlands. Frequent co-authors include Gabriella Nicolini, Werner Garavello, Lorenzo Pignataro, Ivanor Nunes do Prado, Renato Maria Gaini, G Tredici, R Rigolio, Jair de Araújo Marqués, Polyana Pizzi Rotta and Guido Cavaletti. Their work appears in journals such as SHILAP Revista de lepidopterología, Experimental Cell Research and Neuroreport.
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.