P. Rusmini
Impact in
Papers in
-
- Muscle Physiology and Disorders 14
- Heat shock proteins research 8
-
- Genetic Neurodegenerative Diseases 21
- Co-authors
- Angelo Poletti (59 shared papers)V. Crippa (48 shared papers)M. Galbiati (37 shared papers)Riccardo Cristofani (36 shared papers)D. Sau (12 shared papers)Serena Carra (15 shared papers)Elisa Onesto (11 shared papers)Margherita Piccolella (29 shared papers)
- Journals
- Scientific Reports (4 papers)Human Molecular Genetics (4 papers)International Journal of Molecular Sciences (4 papers)Neurobiology of Aging (3 papers)Autophagy (3 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
P. Rusmini
57 papers receiving 3.0k citations
P. Rusmini's Hit Papers
Peers
Comparison fields: 5 of 114
- Neurology 957
- Genetics 478
- Cell Biology 697
- Aging 75
- Cellular and Molecular Neuroscience 705
Countries citing papers authored by P. Rusmini
This map shows the geographic impact of P. Rusmini'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 P. Rusmini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Rusmini more than expected).
Fields of papers citing papers by P. Rusmini
This network shows the impact of papers produced by P. Rusmini. 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 P. Rusmini. The network helps show where P. Rusmini may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Rusmini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Trehalose induces autophagy via lysosomal-mediated TFEB activation in models of motoneuron degeneration Hit paper breakdown → | 2018 | 332 |
| 2 | 2010 | 291 | |
| 3 | 2007 | 165 | |
| 4 | 2019 | 164 | |
| 5 | 2005 | 116 | |
| 6 | 2004 | 97 | |
| 7 | 2010 | 94 | |
| 8 | 2016 | 90 | |
| 9 | 2007 | 90 | |
| 10 | 2017 | 83 | |
| 11 | 2016 | 81 | |
| 12 | 2013 | 77 | |
| 13 | 2017 | 64 | |
| 14 | 2011 | 62 | |
| 15 | 2006 | 59 | |
| 16 | 2017 | 59 | |
| 17 | 2013 | 56 | |
| 18 | 2011 | 53 | |
| 19 | 2010 | 53 | |
| 20 | 2013 | 53 |
About P. Rusmini
P. Rusmini is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Genetics and Cell Biology, having authored 60 papers that have together received 3.0k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (22 papers), Genetic Neurodegenerative Diseases (21 papers), Neurogenetic and Muscular Disorders Research (17 papers), Endoplasmic Reticulum Stress and Disease (14 papers), Muscle Physiology and Disorders (14 papers), Autophagy in Disease and Therapy (11 papers), Heat shock proteins research (8 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). The work is most often cited by research in Neurology (957 citations), Genetics (478 citations), Cell Biology (697 citations), Aging (75 citations) and Cellular and Molecular Neuroscience (705 citations). P. Rusmini has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Angelo Poletti, V. Crippa, M. Galbiati, Riccardo Cristofani, D. Sau, Serena Carra, Elisa Onesto, Margherita Piccolella, Elena Bolzoni and M.E. Cicardi. Their work appears in journals such as Scientific Reports, Human Molecular Genetics, International Journal of Molecular Sciences, Neurobiology of Aging and Autophagy.
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.