Francesco E. Michelassi
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
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- Neuroscience and Neuropharmacology Research
Papers in
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- Cellular transport and secretion 3
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Haowen Liu (2 shared papers)Jeremy S. Dittman (2 shared papers)Zhitao Hu (2 shared papers)Jamie R. Flammer (1 shared paper)Jana Dobrovolná (1 shared paper)Rebecca Gupte (1 shared paper)Yurii V. Chinenov (1 shared paper)Inez Rogatsky (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (1 paper)Current Neurology and Neuroscience Reports (1 paper)Scientific Reports (1 paper)Neuron (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Francesco E. Michelassi
8 papers receiving 343 citations
Peers
Comparison fields: 5 of 43
- Cell Biology 90
- Cellular and Molecular Neuroscience 58
- Behavioral Neuroscience 10
- Genetics 63
- Neurology 23
Countries citing papers authored by Francesco E. Michelassi
This map shows the geographic impact of Francesco E. Michelassi'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 Francesco E. Michelassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco E. Michelassi more than expected).
Fields of papers citing papers by Francesco E. Michelassi
This network shows the impact of papers produced by Francesco E. Michelassi. 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 Francesco E. Michelassi. The network helps show where Francesco E. Michelassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesco E. Michelassi, 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 | 2017 | 92 | |
| 2 | 2012 | 82 | |
| 3 | 2014 | 80 | |
| 4 | 2017 | 63 | |
| 5 | 2021 | 20 | |
| 6 | 2024 | 5 | |
| 7 | 2022 | 1 | |
| 8 | 2024 | 1 |
About Francesco E. Michelassi
Francesco E. Michelassi is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Emergency Medicine, Genetics and Cancer Research, having authored 8 papers that have together received 344 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Alzheimer's disease research and treatments (1 paper), Estrogen and related hormone effects (1 paper), Poisoning and overdose treatments (1 paper), NF-κB Signaling Pathways (1 paper) and Inflammatory Myopathies and Dermatomyositis (1 paper). The work is most often cited by research in Cell Biology (90 citations), Cellular and Molecular Neuroscience (58 citations), Behavioral Neuroscience (10 citations), Genetics (63 citations) and Neurology (23 citations). Francesco E. Michelassi has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Haowen Liu, Jeremy S. Dittman, Zhitao Hu, Jamie R. Flammer, Jana Dobrovolná, Rebecca Gupte, Yurii V. Chinenov, Inez Rogatsky, Elena Dale and Nsikan Akpan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation, Current Neurology and Neuroscience Reports, Scientific Reports and Neuron.
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.