Marina Saresella
- Immunology top 2%
- Molecular Biology top 10%
- Neurology top 1%
- Physiology top 5%
- Biological Psychiatry top 0.5%
- Co-authors
- Mario ClericiIvana MarventanoFederica PianconePasquale FerranteFrancesca La RosaElena CalabreseRaffaello NemniDomenico Caputo
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (18 papers)Multiple Sclerosis Research Studies (16 papers)HIV Research and Treatment (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodThe Journal of Immunology
- Partner nations
- ItalySwitzerlandSaudi Arabia
In The Last Decade
Marina Saresella
114 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 122
- Immunology 1.4k
- Molecular Biology 1.2k
- Neurology 852
- Physiology 776
- Biological Psychiatry 629
Countries citing papers authored by Marina Saresella
This map shows the geographic impact of Marina Saresella'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 Marina Saresella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Saresella more than expected).
Fields of papers citing papers by Marina Saresella
This network shows the impact of papers produced by Marina Saresella. 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 Marina Saresella. The network helps show where Marina Saresella may publish in the future.
Co-authorship network of co-authors of Marina Saresella
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Saresella. A scholar is included among the top collaborators of Marina Saresella 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 Marina Saresella. Marina Saresella 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 | 3 | |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 16 | |
| 7 | LC-MS/MS analysis to study serum profile of short and medium chain fatty acids | 1 |
| 8 | 42 | |
| 9 | 14 | |
| 10 | 15 | |
| 11 | 48 | |
| 12 | 24 | |
| 13 | 21 | |
| 14 | 158 | |
| 15 | 18 | |
| 16 | 76 | |
| 17 | 9 | |
| 18 | 34 | |
| 19 | Study of the pathogenesis of new form of leukoencephalopathies in HAART treated HIV positive subjects | 1 |
| 20 | 66 |
About Marina Saresella
Marina Saresella is a scholar working on Biological Psychiatry, Virology and Neurology, having authored 116 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Multiple Sclerosis Research Studies (16 papers) and HIV Research and Treatment (16 papers). The work is most often cited by research in Biological Psychiatry (629 citations), Virology (525 citations) and Neurology (852 citations). Marina Saresella has collaborated with scholars based in Italy, Switzerland and Saudi Arabia. Frequent co-authors include Mario Clerici, Ivana Marventano, Federica Piancone, Pasquale Ferrante, Francesca La Rosa, Elena Calabrese, Raffaello Nemni, Domenico Caputo, Daria Trabattoni and Roberta Mancuso. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.
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.