Daniela Cornacchia
Impact in
- Aging top 5%
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 6
- Genomics and Chromatin Dynamics 5
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 2
- Nuclear Structure and Function 2
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Lorenz Studer (11 shared papers)Elsa Vera (1 shared paper)Jason Tchieu (5 shared papers)G. Cederquist (3 shared papers)Ryan Walsh (3 shared papers)Marilyn D. Resh (1 shared paper)James J. Asciolla (1 shared paper)Sara B.C. Buonomo (3 shared papers)
- Journals
- Cell stem cell (6 papers)Nature Biotechnology (1 paper)Brain Research (1 paper)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Daniela Cornacchia
13 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 69
- Aging 46
- Developmental Neuroscience 95
- Molecular Biology 901
- Cellular and Molecular Neuroscience 106
- Cell Biology 76
Countries citing papers authored by Daniela Cornacchia
This map shows the geographic impact of Daniela Cornacchia'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 Daniela Cornacchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Cornacchia more than expected).
Fields of papers citing papers by Daniela Cornacchia
This network shows the impact of papers produced by Daniela Cornacchia. 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 Daniela Cornacchia. The network helps show where Daniela Cornacchia may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Cornacchia, 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 | 2019 | 251 | |
| 2 | 2012 | 193 | |
| 3 | 2015 | 140 | |
| 4 | 2015 | 138 | |
| 5 | 2019 | 96 | |
| 6 | 2015 | 45 | |
| 7 | 2017 | 38 | |
| 8 | 2021 | 35 | |
| 9 | 2017 | 27 | |
| 10 | 2024 | 26 | |
| 11 | 2015 | 23 | |
| 12 | 2021 | 7 | |
| 13 | 2025 | 3 | |
| 14 | 2026 | 0 |
About Daniela Cornacchia
Daniela Cornacchia is a scholar working on Molecular Biology, Aging, Plant Science, Genetics and Infectious Diseases, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (5 papers), DNA Repair Mechanisms (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Epigenetics and DNA Methylation (2 papers), Chromosomal and Genetic Variations (2 papers) and Nuclear Structure and Function (2 papers). The work is most often cited by research in Aging (46 citations), Developmental Neuroscience (95 citations), Molecular Biology (901 citations), Cellular and Molecular Neuroscience (106 citations) and Cell Biology (76 citations). Daniela Cornacchia has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Lorenz Studer, Elsa Vera, Jason Tchieu, G. Cederquist, Ryan Walsh, Marilyn D. Resh, James J. Asciolla, Sara B.C. Buonomo, David M. Gilbert and Rossana Foti. Their work appears in journals such as Cell stem cell, Nature Biotechnology, Brain Research, Scientific Reports and Proceedings of the National Academy of Sciences.
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.