Gabriella Rustici
- Molecular Biology top 5%
- Plant Science top 10%
- Biophysics top 2%
- Genetics
- Cell Biology top 10%
- Co-authors
- Alvis BrāzmaJürg BählerEleanor WilliamsGavin BurnsJuan MataHelen ParkinsonUğis SarkansKatja Kivinen
- Topics
- Gene expression and cancer classification (8 papers)Bioinformatics and Genomic Networks (7 papers)Genetics, Bioinformatics, and Biomedical Research (7 papers)
- Cited by
- BiophysicsMolecular BiologyAging
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Gabriella Rustici
25 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.5k
- Plant Science 204
- Biophysics 161
- Genetics 143
- Cell Biology 139
Countries citing papers authored by Gabriella Rustici
This map shows the geographic impact of Gabriella Rustici'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 Gabriella Rustici with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Rustici more than expected).
Fields of papers citing papers by Gabriella Rustici
This network shows the impact of papers produced by Gabriella Rustici. 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 Gabriella Rustici. The network helps show where Gabriella Rustici may publish in the future.
Co-authorship network of co-authors of Gabriella Rustici
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Rustici. A scholar is included among the top collaborators of Gabriella Rustici 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 Gabriella Rustici. Gabriella Rustici is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 59 | |
| 4 | 160 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 13 | |
| 8 | 10 | |
| 9 | ArrayExpress update—simplifying data submissionsbreakdown → | 509 |
| 10 | 11 | |
| 11 | 176 | |
| 12 | 38 | |
| 13 | The role of the IGF system in T-lymphocyte activation | 0 |
| 14 | 51 | |
| 15 | 25 | |
| 16 | 18 | |
| 17 | 392 | |
| 18 | 186 | |
| 19 | 28 | |
| 20 | 23 |
About Gabriella Rustici
Gabriella Rustici is a scholar working on Horticulture, Biophysics and Endocrinology, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (7 papers) and Genetics, Bioinformatics, and Biomedical Research (7 papers). The work is most often cited by research in Biophysics (161 citations), Molecular Biology (1.5k citations) and Aging (20 citations). Gabriella Rustici has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Alvis Brāzma, Jürg Bähler, Eleanor Williams, Gavin Burns, Juan Mata, Helen Parkinson, Uğis Sarkans, Katja Kivinen, Christopher J. Penkett and Paul Nurse. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Genetics.
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.