Nadia Gabellini
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Cell Biology
- Plant Science
- Co-authors
- Günter HauskaEduard C. HurtWolfgang LockauWalter SebaldBruno Andrea MelandriErnesto CarafoliG. M. HochwaldKimary Kulig
- Topics
- Photosynthetic Processes and Mechanisms (16 papers)Ion channel regulation and function (10 papers)Algal biology and biofuel production (7 papers)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Nadia Gabellini
46 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 501
- Renewable Energy, Sustainability and the Environment 205
- Cell Biology 108
- Plant Science 102
Countries citing papers authored by Nadia Gabellini
This map shows the geographic impact of Nadia Gabellini'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 Nadia Gabellini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Gabellini more than expected).
Fields of papers citing papers by Nadia Gabellini
This network shows the impact of papers produced by Nadia Gabellini. 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 Nadia Gabellini. The network helps show where Nadia Gabellini may publish in the future.
Co-authorship network of co-authors of Nadia Gabellini
This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Gabellini. A scholar is included among the top collaborators of Nadia Gabellini 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 Nadia Gabellini. Nadia Gabellini 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 | 18 | |
| 3 | 22 | |
| 4 | 24 | |
| 5 | 22 | |
| 6 | 44 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 30 | |
| 11 | 168 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 46 | |
| 15 | 18 | |
| 16 | 7 | |
| 17 | 26 | |
| 18 | 24 | |
| 19 | 32 | |
| 20 | 111 |
About Nadia Gabellini
Nadia Gabellini is a scholar working on Cellular and Molecular Neuroscience, Renewable Energy, Sustainability and the Environment and Molecular Biology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (16 papers), Ion channel regulation and function (10 papers) and Algal biology and biofuel production (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (501 citations), Molecular Biology (1.2k citations) and Developmental Neuroscience (72 citations). Nadia Gabellini has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Günter Hauska, Eduard C. Hurt, Wolfgang Lockau, Walter Sebald, Bruno Andrea Melandri, Ernesto Carafoli, G. M. Hochwald, Kimary Kulig, Laura Santambrogio and Marta Benedetti. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The Journal of Cell 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.