Diego Grassi
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
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- Telomeres, Telomerase, and Senescence 4
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- Axon Guidance and Neuronal Signaling 3
- Co-authors
- Paul D. Robbins (5 shared papers)Laura J. Niedernhofer (3 shared papers)Heike Fuhrmann‐Stroissnigg (3 shared papers)Santiago Quiroga (6 shared papers)Nadja Ring (1 shared paper)Yi Zhu (1 shared paper)Lana Corbo (1 shared paper)Mauro Giacca (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Cell Discovery (1 paper)ZooKeys (1 paper)Molecular Neurobiology (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesArgentinaItaly
In The Last Decade
Diego Grassi
16 papers receiving 1.1k citations
Diego Grassi's Hit Papers
Peers
Comparison fields: 5 of 96
- Aging 131
- Physiology 494
- Developmental Neuroscience 52
- Neurology 81
- Geriatrics and Gerontology 32
Countries citing papers authored by Diego Grassi
This map shows the geographic impact of Diego Grassi'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 Diego Grassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Grassi more than expected).
Fields of papers citing papers by Diego Grassi
This network shows the impact of papers produced by Diego Grassi. 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 Diego Grassi. The network helps show where Diego Grassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Grassi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identification of HSP90 inhibitors as a novel class of senolytics Hit paper breakdown → | 2017 | 545 |
| 2 | 2018 | 174 | |
| 3 | 2019 | 122 | |
| 4 | 2009 | 90 | |
| 5 | 2013 | 60 | |
| 6 | 2018 | 34 | |
| 7 | 2017 | 32 | |
| 8 | 2015 | 26 | |
| 9 | 1997 | 23 | |
| 10 | 2019 | 21 | |
| 11 | 2023 | 9 | |
| 12 | 2016 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 1993 | 0 |
About Diego Grassi
Diego Grassi is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Endocrine and Autonomic Systems, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Circadian rhythm and melatonin (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Aging (131 citations), Physiology (494 citations), Developmental Neuroscience (52 citations), Neurology (81 citations) and Geriatrics and Gerontology (32 citations). Diego Grassi has collaborated with scholars based in United States, Argentina and Italy. Frequent co-authors include Paul D. Robbins, Laura J. Niedernhofer, Heike Fuhrmann‐Stroissnigg, Santiago Quiroga, Nadja Ring, Yi Zhu, Lana Corbo, Mauro Giacca, Priscilla Tang and Robert W. Brooks. Their work appears in journals such as Journal of Visualized Experiments, Cell Discovery, ZooKeys, Molecular Neurobiology and Journal of the American Chemical Society.
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.