Daniela Palacios
- Aging top 5%
- Molecular Biology top 5%
- Muscle Physiology and Disorders 8
- Epigenetics and DNA Methylation 7
- Histone Deacetylase Inhibitors Research 4
- Ubiquitin and proteasome pathways 3
- Cancer-related gene regulation 3
- Genomics and Chromatin Dynamics 3
- Infectious Diseases top 5%
- Microbiology top 5%
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders 3
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- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Prem PuriChiara MozzettaRobert J. ZagurskyShun‐Fan WuSteven J. ProjanDavid M. ShlaesEric L. BrownEllen Murphy
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Daniela Palacios
27 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Aging 41
- Molecular Biology 1.5k
- Infectious Diseases 391
- Microbiology 76
- Genetics 304
Countries citing papers authored by Daniela Palacios
This map shows the geographic impact of Daniela Palacios'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 Palacios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Palacios more than expected).
Fields of papers citing papers by Daniela Palacios
This network shows the impact of papers produced by Daniela Palacios. 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 Palacios. The network helps show where Daniela Palacios may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Palacios, 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 | 2025 | 1 | |
| 2 | 2025 | 11 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 40 | |
| 9 | 2019 | 44 | |
| 10 | 2018 | 39 | |
| 11 | 2017 | 43 | |
| 12 | 2015 | 16 | |
| 13 | 2015 | 86 | |
| 14 | 2014 | 57 | |
| 15 | 2011 | 21 | |
| 16 | 2011 | 35 | |
| 17 | 2007 | 166 | |
| 18 | 2005 | 100 | |
| 19 | Transcription Profiling-Based Identification of Staphylococcus aureus Genes Regulated by the agr and/or sarA Locibreakdown → | 2001 | 511 |
| 20 | 2000 | 11 |
About Daniela Palacios
Daniela Palacios is a scholar working on Aging, Biological Psychiatry, Molecular Biology, Behavioral Neuroscience and Genetics, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Epigenetics and DNA Methylation (7 papers), Histone Deacetylase Inhibitors Research (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related gene regulation (3 papers), Genomics and Chromatin Dynamics (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Aging (41 citations), Molecular Biology (1.5k citations), Infectious Diseases (391 citations), Microbiology (76 citations) and Genetics (304 citations). Daniela Palacios has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Prem Puri, Chiara Mozzetta, Robert J. Zagursky, Shun‐Fan Wu, Steven J. Projan, David M. Shlaes, Eric L. Brown, Ellen Murphy, Paul M. Dunman and Greg Tucker‐Kellogg. Their work appears in journals such as Scientific Reports, Nature Communications, Cell stem cell, Molecular and Cellular Biology and Human Gene Therapy.
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.