S. M. Gaini
- Neurology top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Genetics top 2%
- Epidemiology top 5%
- Molecular Biology
- Co-authors
- Lorenzo BelloGiorgio CarrabbaCarlo GiussaniEnrica FavaFrancesco AcerbiLaura RiboniCostanza PapagnoAndrea Falini
- Topics
- Glioma Diagnosis and Treatment (16 papers)Traumatic Brain Injury and Neurovascular Disturbances (16 papers)Cerebrospinal fluid and hydrocephalus (14 papers)
- Journals
- NeuroImageNeurologyCancer Research
- Partner nations
- ItalyFranceUnited States
In The Last Decade
S. M. Gaini
89 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 104
- Neurology 707
- Radiology, Nuclear Medicine and Imaging 599
- Genetics 578
- Epidemiology 536
- Molecular Biology 393
Countries citing papers authored by S. M. Gaini
This map shows the geographic impact of S. M. Gaini'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 S. M. Gaini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. Gaini more than expected).
Fields of papers citing papers by S. M. Gaini
This network shows the impact of papers produced by S. M. Gaini. 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 S. M. Gaini. The network helps show where S. M. Gaini may publish in the future.
Co-authorship network of co-authors of S. M. Gaini
This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Gaini. A scholar is included among the top collaborators of S. M. Gaini 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 S. M. Gaini. S. M. Gaini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 51 | |
| 3 | 17 | |
| 4 | 1 | |
| 5 | 46 | |
| 6 | 16 | |
| 7 | 16 | |
| 8 | r-CBF brain SPET before surgery and during subthalamic nuclei (STN) high frequency stimulation (DBS) in Parkinson's Disease | 1 |
| 9 | 9 | |
| 10 | 18 | |
| 11 | 3 | |
| 12 | 36 | |
| 13 | 27 | |
| 14 | 10 | |
| 15 | Trans-sphenoidal surgery for pituitary adenomas | 3 |
| 16 | 8 | |
| 17 | The dysraphic state of the posterior fossa. Clinical review of the Dandy-Walker syndrome and the so-called arachnoid cysts. | 2 |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 3 |
About S. M. Gaini
S. M. Gaini is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Traumatic Brain Injury and Neurovascular Disturbances (16 papers) and Cerebrospinal fluid and hydrocephalus (14 papers). The work is most often cited by research in Genetics (578 citations), Neurology (707 citations) and Radiology, Nuclear Medicine and Imaging (599 citations). S. M. Gaini has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Lorenzo Bello, Giorgio Carrabba, Carlo Giussani, Enrica Fava, Francesco Acerbi, Laura Riboni, Costanza Papagno, Andrea Falini, Antonella Castellano and Nino Stocchetti. Their work appears in journals such as NeuroImage, Neurology and Cancer Research.
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.