Daniela C. Soto
Impact in
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- Species Distribution and Climate Change
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- Chromosomal and Genetic Variations
Papers in
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- Genomics and Phylogenetic Studies 5
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
- Genetics 5
- Genomics and Rare Diseases 2
- Co-authors
- Rodrigo A. Gutiérrez (3 shared papers)Orlando Contreras‐López (2 shared papers)Tomás C. Moyano (1 shared paper)Francisca P. Díaz (2 shared papers)Claudio Latorre (2 shared papers)Megan Y. Dennis (5 shared papers)Janet M. Wilmshurst (1 shared paper)Jamie R. Wood (1 shared paper)
- Journals
- Nature Methods (1 paper)Cell Genomics (1 paper)Molecular Biology and Evolution (1 paper)Human Molecular Genetics (1 paper)Global Change Biology (1 paper)
- Partner nations
- United StatesChileUnited Kingdom
In The Last Decade
Daniela C. Soto
13 papers receiving 247 citations
Peers
Comparison fields: 5 of 70
- Ecological Modeling 17
- Plant Science 81
- Ecology 53
- Molecular Biology 140
- Genetics 54
Countries citing papers authored by Daniela C. Soto
This map shows the geographic impact of Daniela C. Soto'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 C. Soto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela C. Soto more than expected).
Fields of papers citing papers by Daniela C. Soto
This network shows the impact of papers produced by Daniela C. Soto. 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 C. Soto. The network helps show where Daniela C. Soto may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela C. Soto, 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 | 2022 | 54 | |
| 2 | 2019 | 49 | |
| 3 | 2018 | 39 | |
| 4 | 2020 | 25 | |
| 5 | 2009 | 18 | |
| 6 | 2021 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2014 | 8 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 0 |
About Daniela C. Soto
Daniela C. Soto is a scholar working on Molecular Biology, Genetics, Ecology, Behavioral Neuroscience and Atmospheric Science, having authored 14 papers that have together received 247 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (2 papers), Environmental DNA in Biodiversity Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Geology and Paleoclimatology Research (2 papers), Genomics and Rare Diseases (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Ecological Modeling (17 citations), Plant Science (81 citations), Ecology (53 citations), Molecular Biology (140 citations) and Genetics (54 citations). Daniela C. Soto has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include Rodrigo A. Gutiérrez, Orlando Contreras‐López, Tomás C. Moyano, Francisca P. Díaz, Claudio Latorre, Megan Y. Dennis, Janet M. Wilmshurst, Jamie R. Wood, Theresa L. Cole and Colin J. Shew. Their work appears in journals such as Nature Methods, Cell Genomics, Molecular Biology and Evolution, Human Molecular Genetics and Global Change Biology.
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.