Alessandra M. Albertini
- Molecular Biology top 5%
- Genetics top 5%
- Plant Science top 10%
- Ecology top 10%
- Oncology
- Co-authors
- Jeffrey H MillerMurielle HoferMichèle P. CalosThea D. TlstyMarco TerreniDaniela UbialiGiulia BarbieriImmacolata Serra
- Topics
- Biochemical and Molecular Research (9 papers)Bacterial Genetics and Biotechnology (9 papers)Enzyme Structure and Function (7 papers)
- Cited by
- Molecular BiologyGeneticsPhysiology
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Alessandra M. Albertini
32 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.5k
- Genetics 569
- Plant Science 273
- Ecology 241
- Oncology 134
Countries citing papers authored by Alessandra M. Albertini
This map shows the geographic impact of Alessandra M. Albertini'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 Alessandra M. Albertini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandra M. Albertini more than expected).
Fields of papers citing papers by Alessandra M. Albertini
This network shows the impact of papers produced by Alessandra M. Albertini. 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 Alessandra M. Albertini. The network helps show where Alessandra M. Albertini may publish in the future.
Co-authorship network of co-authors of Alessandra M. Albertini
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandra M. Albertini. A scholar is included among the top collaborators of Alessandra M. Albertini 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 Alessandra M. Albertini. Alessandra M. Albertini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 1 | |
| 3 | 28 | |
| 4 | 69 | |
| 5 | 49 | |
| 6 | 23 | |
| 7 | 11 | |
| 8 | 70 | |
| 9 | 34 | |
| 10 | 38 | |
| 11 | 36 | |
| 12 | 30 | |
| 13 | 21 | |
| 14 | 21 | |
| 15 | 52 | |
| 16 | 43 | |
| 17 | 7 | |
| 18 | 128 | |
| 19 | 260 | |
| 20 | On the formation of spontaneous deletions: The importance of short sequence homologies in the generation of large deletionsbreakdown → | 628 |
About Alessandra M. Albertini
Alessandra M. Albertini is a scholar working on Physiology, Molecular Biology and Genetics, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (9 papers), Bacterial Genetics and Biotechnology (9 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Genetics (569 citations) and Physiology (80 citations). Alessandra M. Albertini has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Jeffrey H Miller, Murielle Hofer, Michèle P. Calos, Thea D. Tlsty, Marco Terreni, Daniela Ubiali, Giulia Barbieri, Immacolata Serra, E Ferrari and Alessandro Galizzi. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Molecular Biology.
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.