M. D’Angelo
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
-
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
Papers in
- Genetics 3
- Genetic and phenotypic traits in livestock 2
- Genetic Mapping and Diversity in Plants and Animals 1
-
- Genomics and Phylogenetic Studies 1
- Gene expression and cancer classification 1
- Co-authors
- Giorgio Valle (2 shared papers)Stefano Campanaro (1 shared paper)G Malacrida (1 shared paper)Nicola Cannata (1 shared paper)Federico M. Lauro (1 shared paper)Nicola Vitulo (1 shared paper)Francesca Simonato (1 shared paper)Alessandro Vezzi (1 shared paper)
- Journals
- Science (1 paper)Research in Veterinary Science (1 paper)Information (1 paper)Archivos de Zootecnia (1 paper)ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/) (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
M. D’Angelo
5 papers receiving 236 citations
Peers
Comparison fields: 5 of 56
- Endocrinology 40
- Ecology 105
- Environmental Chemistry 35
- Biotechnology 28
- Molecular Biology 156
Countries citing papers authored by M. D’Angelo
This map shows the geographic impact of M. D’Angelo'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 M. D’Angelo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. D’Angelo more than expected).
Fields of papers citing papers by M. D’Angelo
This network shows the impact of papers produced by M. D’Angelo. 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 M. D’Angelo. The network helps show where M. D’Angelo may publish in the future.
Co-authors
The 22 scholars most cited alongside M. D’Angelo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 199 | |
| 2 | 2000 | 22 | |
| 3 | 1997 | 18 | |
| 4 | Caracterización genética de los bovinos Criollos del Uruguay II: Estudio de su variabilidad genética | 1998 | 6 |
| 5 | 2023 | 6 |
About M. D’Angelo
M. D’Angelo is a scholar working on Genetics, Molecular Biology, Ecology, Artificial Intelligence and Endocrinology, having authored 5 papers that have together received 251 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (2 papers), AI in cancer detection (1 paper), Agricultural and Food Production Studies (1 paper), Vibrio bacteria research studies (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Microbial Community Ecology and Physiology (1 paper), Genomics and Phylogenetic Studies (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Endocrinology (40 citations), Ecology (105 citations), Environmental Chemistry (35 citations), Biotechnology (28 citations) and Molecular Biology (156 citations). M. D’Angelo has collaborated with scholars based in Italy and United States. Frequent co-authors include Giorgio Valle, Stefano Campanaro, G Malacrida, Nicola Cannata, Federico M. Lauro, Nicola Vitulo, Francesca Simonato, Alessandro Vezzi, Douglas H. Bartlett and Alessandro Cestaro. Their work appears in journals such as Science, Research in Veterinary Science, Information, Archivos de Zootecnia and ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/).
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.