Daniela Gutiérrez
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
- Sensory Systems top 10%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Alzheimer's disease research and treatments 6
- Co-authors
- Jorge Caro (1 shared paper)Alejandra Álvarez (6 shared papers)Roberto Vidal (4 shared papers)Felipe Del Canto (4 shared papers)Ángel Oñate (2 shared papers)A Zepeda (1 shared paper)David A. Montero (3 shared papers)Francisco J. Muñoz (3 shared papers)
- Journals
- Infection and Immunity (2 papers)Alzheimer s & Dementia (1 paper)Frontiers in Microbiology (1 paper)Frontiers in Aging Neuroscience (1 paper)Progress in Neurobiology (1 paper)
- Partner nations
- ChileUnited StatesSpain
In The Last Decade
Daniela Gutiérrez
22 papers receiving 306 citations
Peers
Comparison fields: 5 of 80
- Endocrinology 54
- Sensory Systems 43
- Speech and Hearing 43
- Molecular Medicine 16
- Cognitive Neuroscience 47
Countries citing papers authored by Daniela Gutiérrez
This map shows the geographic impact of Daniela Gutiérrez'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 Gutiérrez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gutiérrez more than expected).
Fields of papers citing papers by Daniela Gutiérrez
This network shows the impact of papers produced by Daniela Gutiérrez. 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 Gutiérrez. The network helps show where Daniela Gutiérrez may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Gutiérrez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 51 | |
| 2 | 2012 | 30 | |
| 3 | 2019 | 30 | |
| 4 | 2014 | 30 | |
| 5 | 2007 | 17 | |
| 6 | 2017 | 15 | |
| 7 | 2020 | 15 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2015 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2011 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2018 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2013 | 3 |
About Daniela Gutiérrez
Daniela Gutiérrez is a scholar working on Physiology, Molecular Biology, Infectious Diseases, Endocrinology and Pharmacology, having authored 22 papers that have together received 309 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Escherichia coli research studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), MicroRNA in disease regulation (1 paper) and Bartonella species infections research (1 paper). The work is most often cited by research in Endocrinology (54 citations), Sensory Systems (43 citations), Speech and Hearing (43 citations), Molecular Medicine (16 citations) and Cognitive Neuroscience (47 citations). Daniela Gutiérrez has collaborated with scholars based in Chile, United States and Spain. Frequent co-authors include Jorge Caro, Alejandra Álvarez, Roberto Vidal, Felipe Del Canto, Ángel Oñate, A Zepeda, David A. Montero, Francisco J. Muñoz, Pol Picón-Pagès and Daniela Araya. Their work appears in journals such as Infection and Immunity, Alzheimer s & Dementia, Frontiers in Microbiology, Frontiers in Aging Neuroscience and Progress in Neurobiology.
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.