Gabriella T. Heller
- Molecular Biology top 10%
- Materials Chemistry
- Physiology top 10%
- Computational Theory and Mathematics top 5%
- Spectroscopy top 10%
- Co-authors
- Michele VendruscoloMassimiliano BonomiCarlo CamilloniFrancesco A. AprilePietro SormanniThomas LöhrTuomas P. J. KnowlesChristopher M. Dobson
- Topics
- Protein Structure and Dynamics (17 papers)Computational Drug Discovery Methods (9 papers)Alzheimer's disease research and treatments (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietySHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Gabriella T. Heller
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 832
- Materials Chemistry 243
- Physiology 207
- Computational Theory and Mathematics 173
- Spectroscopy 142
Countries citing papers authored by Gabriella T. Heller
This map shows the geographic impact of Gabriella T. Heller'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 T. Heller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella T. Heller more than expected).
Fields of papers citing papers by Gabriella T. Heller
This network shows the impact of papers produced by Gabriella T. Heller. 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 T. Heller. The network helps show where Gabriella T. Heller may publish in the future.
Co-authorship network of co-authors of Gabriella T. Heller
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella T. Heller. A scholar is included among the top collaborators of Gabriella T. Heller 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 T. Heller. Gabriella T. Heller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 23 | |
| 6 | 36 | |
| 7 | 1 | |
| 8 | 112 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 46 | |
| 12 | 42 | |
| 13 | 52 | |
| 14 | 52 | |
| 15 | 1 | |
| 16 | 244 | |
| 17 | 8 | |
| 18 | 79 | |
| 19 | 79 | |
| 20 | 1 |
About Gabriella T. Heller
Gabriella T. Heller is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (9 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Structural Biology (22 citations), Molecular Biology (832 citations) and Computational Theory and Mathematics (173 citations). Gabriella T. Heller has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Michele Vendruscolo, Massimiliano Bonomi, Carlo Camilloni, Francesco A. Aprile, Pietro Sormanni, Thomas Löhr, Tuomas P. J. Knowles, Christopher M. Dobson, Alfonso De Simone and Meredith L. Rowe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.
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.