Marta Di Carlo
- Biological Psychiatry top 2%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Physiology top 2%
- Alzheimer's disease research and treatments 27
- Diet and metabolism studies 6
- Aging top 5%
- Biomaterials top 2%
-
- Mitochondrial Function and Pathology 7
- Plant Reproductive Biology 6
-
- Cholinesterase and Neurodegenerative Diseases 7
-
- Marine Biology and Environmental Chemistry 6
-
- Wound Healing and Treatments 5
- Co-authors
- Pasquale PiconeDomenico NuzzoDaniela GiacomazzaPier Luigi San BiagioGiovanna MontanaLuca CaruanaAntonella SgarbossaGiacoma Galizzi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SHILAP Revista de lepidopterología (1 paper)The EMBO Journal (1 paper)
In The Last Decade
Marta Di Carlo
106 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 146
- Biological Psychiatry 187
- Neurology 364
- Physiology 1.1k
- Aging 64
- Biomaterials 450
Countries citing papers authored by Marta Di Carlo
This map shows the geographic impact of Marta Di Carlo'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 Marta Di Carlo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Di Carlo more than expected).
Fields of papers citing papers by Marta Di Carlo
This network shows the impact of papers produced by Marta Di Carlo. 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 Marta Di Carlo. The network helps show where Marta Di Carlo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marta Di Carlo, 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 | 2023 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 9 | |
| 5 | 2020 | 37 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 58 | |
| 8 | 2020 | 35 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 39 | |
| 11 | Anti-inflammatory and cognitive effects of interferon-β1a (IFNβ1a) in a rat model of Alzheimer's disease 11 Medical and Health Sciences 1109 Neurosciences | 2019 | 17 |
| 12 | 2018 | 35 | |
| 13 | 2018 | 40 | |
| 14 | 2017 | 58 | |
| 15 | 2017 | 19 | |
| 16 | 2017 | 79 | |
| 17 | 2013 | 7 | |
| 18 | A close connection: Alzheimer’s disease and type 2 diabetes | 2012 | 3 |
| 19 | 2011 | 61 | |
| 20 | Heat shock proteins in sea urchin embryos. Territorial and intracellular location. | 1981 | 15 |
About Marta Di Carlo
Marta Di Carlo is a scholar working on Aging, Physiology and Biomaterials, having authored 107 papers that have together received 3.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (27 papers), Mitochondrial Function and Pathology (7 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Diet and metabolism studies (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Plant Reproductive Biology (6 papers), Marine Biology and Environmental Chemistry (6 papers) and Wound Healing and Treatments (5 papers). The work is most often cited by research in Biological Psychiatry (187 citations), Neurology (364 citations) and Physiology (1.1k citations). Marta Di Carlo has collaborated with scholars based in Italy, Spain and Argentina. Frequent co-authors include Pasquale Picone, Domenico Nuzzo, Daniela Giacomazza, Pier Luigi San Biagio, Giovanna Montana, Luca Caruana, Antonella Sgarbossa, Giacoma Galizzi, Daniele P. Romancino and Flavia Mulè. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The EMBO Journal.
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.