Laura García‐Prat

4.8k total citations · 3 hit papers
19 papers, 2.7k citations indexed

About

Laura García‐Prat is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Laura García‐Prat has authored 19 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Aging. Recurrent topics in Laura García‐Prat's work include Muscle Physiology and Disorders (13 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Telomeres, Telomerase, and Senescence (7 papers). Laura García‐Prat is often cited by papers focused on Muscle Physiology and Disorders (13 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Telomeres, Telomerase, and Senescence (7 papers). Laura García‐Prat collaborates with scholars based in Spain, United States and Canada. Laura García‐Prat's co-authors include Pura Muñoz‐Cánoves, Pedro Sousa‐Victor, Eusebio Perdiguero, Antonio L. Serrano, Laura Ortet, Vanessa Ruiz‐Bonilla, Javier Rodríguez‐Ubreva, Esteban Ballestar, Susana Gutarra and Marta Martínez‐Vicente and has published in prestigious journals such as Nature, Nature Communications and Nature Reviews Molecular Cell Biology.

In The Last Decade

Laura García‐Prat

19 papers receiving 2.6k citations

Hit Papers

Autophagy maintains stemness by preventing senescence 2014 2026 2018 2022 2016 2014 2021 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Laura García‐Prat Spain 14 1.9k 1.0k 611 343 330 19 2.7k
Vanessa Ruiz‐Bonilla Spain 11 2.1k 1.1× 1.1k 1.1× 658 1.1× 349 1.0× 335 1.0× 12 3.0k
Pedro Sousa‐Victor Spain 21 2.0k 1.1× 942 0.9× 301 0.5× 366 1.1× 340 1.0× 27 2.9k
Laura Ortet Spain 6 1.3k 0.7× 756 0.7× 518 0.8× 224 0.7× 233 0.7× 7 1.9k
Javier Rodríguez‐Ubreva Spain 27 2.3k 1.2× 775 0.8× 586 1.0× 304 0.9× 233 0.7× 50 3.5k
Massimiliano Cerletti United States 16 1.9k 1.0× 1.1k 1.0× 380 0.6× 517 1.5× 273 0.8× 20 3.4k
Foteini Mourkioti United States 22 2.2k 1.2× 871 0.8× 207 0.3× 381 1.1× 196 0.6× 38 3.3k
Mercè Jardı́ Spain 17 1.9k 1.0× 888 0.9× 222 0.4× 370 1.1× 242 0.7× 24 2.8k
Anthony Scimè Canada 18 1.7k 0.9× 1.9k 1.8× 973 1.6× 264 0.8× 87 0.3× 28 3.3k
Pengpeng Bi United States 21 1.6k 0.8× 915 0.9× 437 0.7× 224 0.7× 56 0.2× 27 2.3k
Natasha C. Chang Canada 15 1.5k 0.8× 338 0.3× 362 0.6× 235 0.7× 102 0.3× 23 1.9k

Countries citing papers authored by Laura García‐Prat

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Laura García‐Prat

This figure shows the co-authorship network connecting the top 25 collaborators of Laura García‐Prat. A scholar is included among the top collaborators of Laura García‐Prat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura García‐Prat. Laura García‐Prat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Dell’Orso, Stefania, Aster H. Juan, Victoria Moiseeva, et al.. (2021). Protocol for RNA-seq library preparation starting from a rare muscle stem cell population or a limited number of mouse embryonic stem cells. STAR Protocols. 2(2). 100451–100451. 1 indexed citations
3.
Kaufmann, Kerstin B., Andy G.X. Zeng, Étienne Coyaud, et al.. (2021). A latent subset of human hematopoietic stem cells resists regenerative stress to preserve stemness. Nature Immunology. 22(6). 723–734. 26 indexed citations
4.
Sousa‐Victor, Pedro, Laura García‐Prat, & Pura Muñoz‐Cánoves. (2021). Control of satellite cell function in muscle regeneration and its disruption in ageing. Nature Reviews Molecular Cell Biology. 23(3). 204–226. 277 indexed citations breakdown →
5.
Segalés, Jessica, Eusebio Perdiguero, Antonio L. Serrano, et al.. (2020). Sestrin prevents atrophy of disused and aging muscles by integrating anabolic and catabolic signals. Nature Communications. 11(1). 189–189. 106 indexed citations
6.
Kaufmann, Kerstin B., Andy G.X. Zeng, Étienne Coyaud, et al.. (2020). A Distinct Subset of Human Blood Stem Cells Resists Regenerative Stress to Preserve Stemness. SSRN Electronic Journal. 1 indexed citations
7.
Kaufmann, Kerstin B., Laura García‐Prat, Qiang Liu, et al.. (2019). A stemness screen reveals C3orf54/INKA1 as a promoter of human leukemia stem cell latency. Blood. 133(20). 2198–2211. 18 indexed citations
8.
Sousa‐Victor, Pedro, Laura García‐Prat, & Pura Muñoz‐Cánoves. (2018). New mechanisms driving muscle stem cell regenerative decline with aging. The International Journal of Developmental Biology. 62(6-7-8). 583–590. 18 indexed citations
9.
García‐Prat, Laura, Pedro Sousa‐Victor, & Pura Muñoz‐Cánoves. (2017). Proteostatic and Metabolic Control of Stemness. Cell stem cell. 20(5). 593–608. 95 indexed citations
10.
García‐Prat, Laura, Pura Muñoz‐Cánoves, & Marta Martínez‐Vicente. (2017). Monitoring Autophagy in Muscle Stem Cells. Methods in molecular biology. 1556. 255–280. 9 indexed citations
11.
García‐Prat, Laura, Marta Martínez‐Vicente, & Pura Muñoz‐Cánoves. (2016). Methods for Mitochondria and Mitophagy Flux Analyses in Stem Cells of Resting and Regenerating Skeletal Muscle. Methods in molecular biology. 1460. 223–240. 5 indexed citations
12.
García‐Prat, Laura, Marta Martínez‐Vicente, Eusebio Perdiguero, et al.. (2016). Autophagy maintains stemness by preventing senescence. Nature. 529(7584). 37–42. 1035 indexed citations breakdown →
13.
García‐Prat, Laura, Marta Martínez‐Vicente, & Pura Muñoz‐Cánoves. (2016). Autophagy: a decisive process for stemness. Oncotarget. 7(11). 12286–12288. 19 indexed citations
14.
García‐Prat, Laura & Pura Muñoz‐Cánoves. (2016). Aging, metabolism and stem cells: Spotlight on muscle stem cells. Molecular and Cellular Endocrinology. 445. 109–117. 26 indexed citations
15.
García‐Prat, Laura, Marta Martínez‐Vicente, Eusebio Perdiguero, et al.. (2016). Autophagy maintains stemness by preventing senescence. Nature. 534(7607). S3–S4. 15 indexed citations
16.
García‐Prat, Laura, Pura Muñoz‐Cánoves, & Marta Martínez‐Vicente. (2016). Dysfunctional autophagy is a driver of muscle stem cell functional decline with aging. Autophagy. 12(3). 612–613. 55 indexed citations
17.
Sousa‐Victor, Pedro, Laura García‐Prat, Antonio L. Serrano, Eusebio Perdiguero, & Pura Muñoz‐Cánoves. (2015). Muscle stem cell aging: regulation and rejuvenation. Trends in Endocrinology and Metabolism. 26(6). 287–296. 114 indexed citations
18.
Sousa‐Victor, Pedro, Susana Gutarra, Laura García‐Prat, et al.. (2014). Geriatric muscle stem cells switch reversible quiescence into senescence. Nature. 506(7488). 316–321. 727 indexed citations breakdown →
19.
García‐Prat, Laura, Pedro Sousa‐Victor, & Pura Muñoz‐Cánoves. (2013). Functional dysregulation of stem cells during aging: a focus on skeletal muscle stem cells. FEBS Journal. 280(17). 4051–4062. 113 indexed citations

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.

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