Alberto Gandini
- Molecular Biology
- Condensed Matter Physics top 5%
- Materials Chemistry
- Biomedical Engineering
- Organic Chemistry
- Co-authors
- P. H. PleschD. Della BellaG. BenelliR. WeinsteinDrew ParksRavi-Persad SawhEun-okP. Shiv Halasyamani
- Topics
- Physics of Superconductivity and Magnetism (27 papers)High-pressure geophysics and materials (13 papers)Advanced Condensed Matter Physics (12 papers)
- Cited by
- Condensed Matter PhysicsElectronic, Optical and Magnetic MaterialsEndocrinology, Diabetes and Metabolism
- Journals
- Physical review. B, Condensed matterChemistry of MaterialsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Alberto Gandini
72 papers receiving 911 citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 210
- Condensed Matter Physics 188
- Materials Chemistry 141
- Biomedical Engineering 141
- Organic Chemistry 109
Countries citing papers authored by Alberto Gandini
This map shows the geographic impact of Alberto Gandini'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 Alberto Gandini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Gandini more than expected).
Fields of papers citing papers by Alberto Gandini
This network shows the impact of papers produced by Alberto Gandini. 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 Alberto Gandini. The network helps show where Alberto Gandini may publish in the future.
Co-authorship network of co-authors of Alberto Gandini
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Gandini. A scholar is included among the top collaborators of Alberto Gandini 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 Alberto Gandini. Alberto Gandini 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 | 6 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 19 | |
| 7 | Analysis of the d3-growth hormone receptor polymorphism in large cohorts of small, appropriate and large for gestational age newborns. | 2 |
| 8 | 40 | |
| 9 | 26 | |
| 10 | 29 | |
| 11 | 26 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 27 | |
| 15 | 52 | |
| 16 | 12 | |
| 17 | 36 | |
| 18 | Polyamides containing furanic moieties | 13 |
| 19 | 1 | |
| 20 | 37 |
About Alberto Gandini
Alberto Gandini is a scholar working on Condensed Matter Physics, Geophysics and Endocrine and Autonomic Systems, having authored 75 papers that have together received 961 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (27 papers), High-pressure geophysics and materials (13 papers) and Advanced Condensed Matter Physics (12 papers). The work is most often cited by research in Condensed Matter Physics (188 citations), Electronic, Optical and Magnetic Materials (105 citations) and Endocrinology, Diabetes and Metabolism (90 citations). Alberto Gandini has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include P. H. Plesch, D. Della Bella, G. Benelli, R. Weinstein, Drew Parks, Ravi-Persad Sawh, Eun-ok, P. Shiv Halasyamani, Kang Min Ok and Lei Zhang. Their work appears in journals such as Physical review. B, Condensed matter, Chemistry of Materials and The Journal of Clinical Endocrinology & Metabolism.
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.