Gaëlle Laurent

3.0k total citations · 1 hit paper
15 papers, 2.0k citations indexed

About

Gaëlle Laurent is a scholar working on Molecular Biology, Geriatrics and Gerontology and Physiology. According to data from OpenAlex, Gaëlle Laurent has authored 15 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Geriatrics and Gerontology and 6 papers in Physiology. Recurrent topics in Gaëlle Laurent's work include Sirtuins and Resveratrol in Medicine (7 papers), Adipose Tissue and Metabolism (6 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Gaëlle Laurent is often cited by papers focused on Sirtuins and Resveratrol in Medicine (7 papers), Adipose Tissue and Metabolism (6 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Gaëlle Laurent collaborates with scholars based in United States, France and Germany. Gaëlle Laurent's co-authors include Marcia C. Haigis, Vincent C. J. de Boer, Natalie J. German, Pier Paolo Pandolfi, Arkaitz Carracedo, Keisuke Ito, Lydia W.S. Finley, Kevin M. Haigis, Rainer Spang and Moon Hee Yang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Gaëlle Laurent

15 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GDF11 Increases with Age and Inhibits Skeletal Muscle Regeneration

2015 407 citations Marc A. Egerman, Samuel M. Cadena et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gaëlle Laurent United States	13	1.3k	551	501	428	358	15	2.0k
Bhavapriya Vaitheesvaran United States	17	1.2k 1.0×	598 1.1×	748 1.5×	348 0.8×	575 1.6×	20	2.3k
Susana Velasco-Miguel United States	17	1.8k 1.4×	578 1.0×	517 1.0×	585 1.4×	395 1.1×	22	3.0k
Maribel Muñoz‐Martín Spain	10	941 0.7×	807 1.5×	347 0.7×	211 0.5×	286 0.8×	11	1.8k
Brooke M. Emerling United States	20	1.4k 1.1×	332 0.6×	238 0.5×	559 1.3×	312 0.9×	36	2.1k
Rui-Hong Wang United States	15	1.6k 1.2×	590 1.1×	1.5k 2.9×	341 0.8×	869 2.4×	16	3.4k
Masayuki Orimo Japan	6	891 0.7×	782 1.4×	146 0.3×	322 0.8×	275 0.8×	6	2.0k
Zhu‐Qin Zhang China	16	692 0.6×	377 0.7×	437 0.9×	212 0.5×	242 0.7×	29	1.5k
De‐Long Hao China	19	702 0.6×	302 0.5×	391 0.8×	221 0.5×	222 0.6×	37	1.4k
Bárbara Martínez-Pastor United States	14	1.1k 0.9×	428 0.8×	627 1.3×	246 0.6×	352 1.0×	18	1.8k
Helen Chim United States	8	937 0.7×	337 0.6×	322 0.6×	353 0.8×	269 0.8×	8	1.5k

Countries citing papers authored by Gaëlle Laurent

Since Specialization

Citations

This map shows the geographic impact of Gaëlle Laurent'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 Gaëlle Laurent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaëlle Laurent more than expected).

Fields of papers citing papers by Gaëlle Laurent

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gaëlle Laurent. 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 Gaëlle Laurent. The network helps show where Gaëlle Laurent may publish in the future.

Co-authorship network of co-authors of Gaëlle Laurent

This figure shows the co-authorship network connecting the top 25 collaborators of Gaëlle Laurent. A scholar is included among the top collaborators of Gaëlle Laurent 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 Gaëlle Laurent. Gaëlle Laurent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Zaganjor, Elma, Haejin Yoon, Jessica B. Spinelli, et al.. (2021). SIRT4 is an early regulator of branched-chain amino acid catabolism that promotes adipogenesis. Cell Reports. 36(2). 109345–109345. 47 indexed citations

German, Natalie J., Haejin Yoon, Rushdia Z. Yusuf, et al.. (2016). PHD3 Loss in Cancer Enables Metabolic Reliance on Fatty Acid Oxidation via Deactivation of ACC2. Molecular Cell. 63(6). 1006–1020. 117 indexed citations

Satterstrom, F. Kyle, William R. Swindell, Gaëlle Laurent, et al.. (2015). Nuclear respiratory factor 2 induces SIRT3 expression. Aging Cell. 14(5). 818–825. 65 indexed citations

Egerman, Marc A., Samuel M. Cadena, Jason A. Gilbert, et al.. (2015). GDF11 Increases with Age and Inhibits Skeletal Muscle Regeneration. Cell Metabolism. 22(1). 164–174. 407 indexed citations breakdown →

Yang, Moon Hee, Gaëlle Laurent, Alexandra S. Bause, et al.. (2013). HDAC6 and SIRT2 Regulate the Acetylation State and Oncogenic Activity of Mutant K-RAS. Molecular Cancer Research. 11(9). 1072–1077. 110 indexed citations

Laurent, Gaëlle, Natalie J. German, Asish K. Saha, et al.. (2013). SIRT4 Coordinates the Balance between Lipid Synthesis and Catabolism by Repressing Malonyl CoA Decarboxylase. Molecular Cell. 50(5). 686–698. 304 indexed citations

Laurent, Gaëlle, Vincent C. J. de Boer, Lydia W.S. Finley, et al.. (2013). SIRT4 Represses Peroxisome Proliferator-Activated Receptor α Activity To Suppress Hepatic Fat Oxidation. Molecular and Cellular Biology. 33(22). 4552–4561. 116 indexed citations

Lechien, Jérôme R., et al.. (2013). [MIF in head and neck cancer: a new therapeutic target ?].. PubMed. 134(2). 67–74. 6 indexed citations

Yang, Moon Hee, Eric T. Kim, Caroline Liot, et al.. (2012). Regulation of RAS oncogenicity by acetylation. Proceedings of the National Academy of Sciences. 109(27). 10843–10848. 102 indexed citations

10.

Carracedo, Arkaitz, Dror Weiss, Manoj Bhasin, et al.. (2012). A metabolic prosurvival role for PML in breast cancer. Journal of Clinical Investigation. 122(9). 3088–3100. 211 indexed citations

11.

García‐Cao, Isabel, Min Sup Song, Robin M. Hobbs, et al.. (2012). Systemic Elevation of PTEN Induces a Tumor-Suppressive Metabolic State. Cell. 149(1). 49–62. 306 indexed citations

12.

Laurent, Gaëlle, Natalie J. German, Asish K. Saha, et al.. (2012). SIRT4 controls the balance between lipid synthesis and catabolism by repressing malonyl-CoA decarboxylase. BMC Proceedings. 6(S3). 5 indexed citations

13.

Cook, H. Terence, Ruth M. Tarzi, Zelpha D’Souza, et al.. (2011). AP-1 Transcription Factor JunD Confers Protection from Accelerated Nephrotoxic Nephritis and Control Podocyte-Specific Vegfa Expression. American Journal Of Pathology. 179(1). 134–140. 14 indexed citations

14.

Laurent, Gaëlle, et al.. (2009). Sirtuins regulate key aspects of lipid metabolism. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(8). 1652–1657. 103 indexed citations

15.

Laurent, Gaëlle, Florence Solari, Bogdan Mateescu, et al.. (2008). Oxidative Stress Contributes to Aging by Enhancing Pancreatic Angiogenesis and Insulin Signaling. Cell Metabolism. 7(2). 113–124. 58 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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