Guillermo E. Parada
Impact in
- Aging top 10%
-
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- DNA and Nucleic Acid Chemistry
- CRISPR and Genetic Engineering
Papers in
-
- RNA Research and Splicing 7
- Single-cell and spatial transcriptomics 5
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 3
- DNA and Nucleic Acid Chemistry 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Martin Hemberg (11 shared papers)Roberto Munita (4 shared papers)Rommy von Bernhardi (1 shared paper)Francisca Cornejo (1 shared paper)Jaime Eugenı́n (1 shared paper)Ilias Georgakopoulos‐Soares (5 shared papers)Katia Gysling (1 shared paper)C Cerda (1 shared paper)
- Journals
- Nature Communications (2 papers)Genome biology (2 papers)PLoS ONE (2 papers)Nucleic Acids Research (2 papers)Developmental Cell (1 paper)
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
Guillermo E. Parada
17 papers receiving 662 citations
Peers
Comparison fields: 5 of 80
- Aging 32
- Molecular Biology 490
- Neurology 50
- Biological Psychiatry 14
- Cancer Research 74
Countries citing papers authored by Guillermo E. Parada
This map shows the geographic impact of Guillermo E. Parada'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 Guillermo E. Parada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo E. Parada more than expected).
Fields of papers citing papers by Guillermo E. Parada
This network shows the impact of papers produced by Guillermo E. Parada. 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 Guillermo E. Parada. The network helps show where Guillermo E. Parada may publish in the future.
Co-authors
The 25 scholars most cited alongside Guillermo E. Parada, 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 | 140 | |
| 2 | 2015 | 119 | |
| 3 | 2014 | 92 | |
| 4 | 2022 | 74 | |
| 5 | 2017 | 49 | |
| 6 | 2022 | 38 | |
| 7 | 2022 | 33 | |
| 8 | 2015 | 26 | |
| 9 | 2021 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 1983 | 17 | |
| 12 | 2021 | 14 | |
| 13 | 2020 | 6 | |
| 14 | 2015 | 6 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2026 | 1 |
About Guillermo E. Parada
Guillermo E. Parada is a scholar working on Molecular Biology, Cancer Research, Aging, Plant Science and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 665 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Single-cell and spatial transcriptomics (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Chromosomal and Genetic Variations (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (32 citations), Molecular Biology (490 citations), Neurology (50 citations), Biological Psychiatry (14 citations) and Cancer Research (74 citations). Guillermo E. Parada has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Martin Hemberg, Roberto Munita, Rommy von Bernhardi, Francisca Cornejo, Jaime Eugenı́n, Ilias Georgakopoulos‐Soares, Katia Gysling, C Cerda, Eric A. Miska and Chun Kit Kwok. Their work appears in journals such as Nature Communications, Genome biology, PLoS ONE, Nucleic Acids Research and Developmental Cell.
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.