Laura García‐Prat
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 7
- Physiology top 2%
- Telomeres, Telomerase, and Senescence 7
- Genetics top 5%
- Geriatrics and Gerontology top 5%
- Molecular Biology top 5%
- Muscle Physiology and Disorders 13
- Pluripotent Stem Cells Research 2
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- Autophagy in Disease and Therapy 6
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- Hematopoietic Stem Cell Transplantation 3
- Acute Myeloid Leukemia Research 1
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- Immune Cell Function and Interaction 2
- Co-authors
- Pura Muñoz‐CánovesPedro Sousa‐VictorEusebio PerdigueroAntonio L. SerranoLaura OrtetEsteban BallestarJavier Rodríguez‐UbrevaSusana Gutarra
- Cited by
- AgingPhysiologyGenetics
- Journals
- Nature (3 papers)Nature Communications (1 paper)Nature Reviews Molecular Cell Biology (1 paper)
- Partner nations
- SpainUnited StatesCanada
In The Last Decade
Laura García‐Prat
19 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Aging 330
- Physiology 1.0k
- Genetics 343
- Geriatrics and Gerontology 111
- Molecular Biology 1.9k
Countries citing papers authored by Laura García‐Prat
This map shows the geographic impact of Laura García‐Prat'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 Laura García‐Prat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura García‐Prat more than expected).
Fields of papers citing papers by Laura García‐Prat
This network shows the impact of papers produced by Laura García‐Prat. 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 Laura García‐Prat. The network helps show where Laura García‐Prat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura García‐Prat, 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 | 2021 | 3 | |
| 2 | 2021 | 26 | |
| 3 | 2021 | 1 | |
| 4 | Control of satellite cell function in muscle regeneration and its disruption in ageingbreakdown → | 2021 | 277 |
| 5 | 2020 | 106 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 18 | |
| 8 | 2018 | 18 | |
| 9 | 2017 | 95 | |
| 10 | 2017 | 9 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 26 | |
| 13 | Autophagy maintains stemness by preventing senescencebreakdown → | 2016 | 1035 |
| 14 | 2016 | 55 | |
| 15 | 2016 | 19 | |
| 16 | 2016 | 15 | |
| 17 | 2015 | 114 | |
| 18 | Geriatric muscle stem cells switch reversible quiescence into senescencebreakdown → | 2014 | 727 |
| 19 | 2013 | 113 |
About Laura García‐Prat
Laura García‐Prat is a scholar working on Aging, Hematology and Physiology, having authored 19 papers that have together received 2.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (13 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Telomeres, Telomerase, and Senescence (7 papers), Autophagy in Disease and Therapy (6 papers), Hematopoietic Stem Cell Transplantation (3 papers), Pluripotent Stem Cells Research (2 papers), Immune Cell Function and Interaction (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Aging (330 citations), Physiology (1.0k citations) and Genetics (343 citations). Laura García‐Prat has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Pura Muñoz‐Cánoves, Pedro Sousa‐Victor, Eusebio Perdiguero, Antonio L. Serrano, Laura Ortet, Esteban Ballestar, Javier Rodríguez‐Ubreva, Susana Gutarra, Vanessa Ruiz‐Bonilla and Marta Martínez‐Vicente. Their work appears in journals such as Nature, Nature Communications and Nature Reviews Molecular Cell 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.