Marta Artal‐Sanz

2.9k total citations
37 papers, 2.2k citations indexed

About

Marta Artal‐Sanz is a scholar working on Molecular Biology, Aging and Endocrine and Autonomic Systems. According to data from OpenAlex, Marta Artal‐Sanz has authored 37 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Aging and 7 papers in Endocrine and Autonomic Systems. Recurrent topics in Marta Artal‐Sanz's work include Genetics, Aging, and Longevity in Model Organisms (20 papers), Mitochondrial Function and Pathology (18 papers) and Circadian rhythm and melatonin (7 papers). Marta Artal‐Sanz is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (20 papers), Mitochondrial Function and Pathology (18 papers) and Circadian rhythm and melatonin (7 papers). Marta Artal‐Sanz collaborates with scholars based in Spain, Greece and Netherlands. Marta Artal‐Sanz's co-authors include Nektarios Tavernarakis, Leo Nijtmans, Les Grivell, Philip J. Coates, Hans van der Spek, René F. Ketting, Ronald H.A. Plasterk, C. Peter Verrijzer, Jeroen Krijgsveld and Tokameh Mahmoudi and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Marta Artal‐Sanz

37 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Artal‐Sanz Spain 21 1.6k 453 280 255 245 37 2.2k
Mark Larance Australia 27 2.0k 1.3× 177 0.4× 381 1.4× 489 1.9× 449 1.8× 76 2.8k
Gennifer E. Merrihew United States 23 1.7k 1.1× 140 0.3× 916 3.3× 255 1.0× 158 0.6× 41 2.3k
Shane L. Rea United States 28 2.0k 1.3× 1.3k 3.0× 43 0.2× 748 2.9× 700 2.9× 39 3.1k
Noah Ollikainen United States 17 2.3k 1.5× 241 0.5× 65 0.2× 149 0.6× 191 0.8× 27 2.8k
Kyoungmi Kim South Korea 26 2.7k 1.7× 145 0.3× 124 0.4× 106 0.4× 103 0.4× 77 3.2k
Michelle E. Kimple United States 25 1.4k 0.9× 115 0.3× 40 0.1× 468 1.8× 213 0.9× 60 2.3k
Johannes H. Bauer United States 24 1.1k 0.7× 314 0.7× 73 0.3× 257 1.0× 90 0.4× 35 2.2k
Thomas Baranski United States 29 1.7k 1.1× 375 0.8× 39 0.1× 370 1.5× 348 1.4× 69 3.0k
Veronika Obšilová Czechia 26 1.9k 1.2× 142 0.3× 64 0.2× 119 0.5× 209 0.9× 65 2.2k
Isabelle Riezman Switzerland 18 1.2k 0.7× 82 0.2× 45 0.2× 158 0.6× 444 1.8× 22 1.6k

Countries citing papers authored by Marta Artal‐Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Marta Artal‐Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Artal‐Sanz. 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 Marta Artal‐Sanz. The network helps show where Marta Artal‐Sanz may publish in the future.

Co-authorship network of co-authors of Marta Artal‐Sanz

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

All Works

20 of 20 papers shown
1.
Fabrizio, Paola, et al.. (2024). SIN-3 transcriptional coregulator maintains mitochondrial homeostasis and polyamine flux. iScience. 27(5). 109789–109789. 2 indexed citations
2.
3.
Artal‐Sanz, Marta, et al.. (2022). Prohibitins in neurodegeneration and mitochondrial homeostasis. SHILAP Revista de lepidopterología. 3. 1043300–1043300. 3 indexed citations
4.
Artal‐Sanz, Marta, et al.. (2021). Prohibitin depletion extends lifespan of a TORC2/SGK‐1 mutant through autophagy and the mitochondrial UPR. Aging Cell. 20(5). 17 indexed citations
5.
Venegas‐Calerón, Mónica, Alicia Sánchez‐García, Irene Suárez‐Pereira, et al.. (2021). Steroid hormones sulfatase inactivation extends lifespan and ameliorates age-related diseases. Nature Communications. 12(1). 49–49. 31 indexed citations
6.
Cosialls, Ana M., Lorena Mendive‐Tapia, Rodolfo Lavilla, et al.. (2021). Fluorizoline-induced apoptosis requires prohibitins in nematodes and human cells. APOPTOSIS. 26(1-2). 83–95. 7 indexed citations
7.
Mata‐Cabana, Alejandro, et al.. (2020). Social Chemical Communication Determines Recovery From L1 Arrest via DAF-16 Activation. Frontiers in Cell and Developmental Biology. 8. 588686–588686. 4 indexed citations
8.
Olmedo, María, et al.. (2019). Prolonged quiescence delays somatic stem cell‐like divisions in Caenorhabditis elegans and is controlled by insulin signaling. Aging Cell. 19(2). e13085–e13085. 18 indexed citations
9.
Zhang, Jingyan, María Olmedo, Amy D. Holdorf, et al.. (2019). A Delicate Balance between Bacterial Iron and Reactive Oxygen Species Supports Optimal C. elegans Development. Cell Host & Microbe. 26(3). 400–411.e3. 49 indexed citations
10.
Artal‐Sanz, Marta, et al.. (2019). The plant hormone kinetin in disease therapy and healthy aging. Ageing Research Reviews. 55. 100958–100958. 28 indexed citations
11.
Millar, Val, Sara González-Hernández, María Olmedo, et al.. (2018). Combined flow cytometry and high-throughput image analysis for the study of essential genes in Caenorhabditis elegans. BMC Biology. 16(1). 36–36. 14 indexed citations
12.
Baumeister, Ralf, et al.. (2014). Prohibitin-Mediated Lifespan and Mitochondrial Stress Implicate SGK-1, Insulin/IGF and mTORC2 in C. elegans. PLoS ONE. 9(9). e107671–e107671. 31 indexed citations
13.
López-Aguilar, Celeste, et al.. (2013). Translation initiation of the replication initiator repB gene of promiscuous plasmid pMV158 is led by an extended non-SD sequence. Plasmid. 70(1). 69–77. 9 indexed citations
14.
Alonso‐Martín, Sonia, Raquel Pérez-Palacios, Diana Guallar, et al.. (2012). Functional Analysis of Rex1 During Preimplantation Development. Stem Cells and Development. 22(3). 459–472. 13 indexed citations
15.
Artal‐Sanz, Marta & Nektarios Tavernarakis. (2009). Prohibitin and mitochondrial biology. Trends in Endocrinology and Metabolism. 20(8). 394–401. 238 indexed citations
16.
Artal‐Sanz, Marta & Nektarios Tavernarakis. (2008). Mechanisms of aging and energy metabolism in Caenorhabditis elegans. IUBMB Life. 60(5). 315–322. 14 indexed citations
17.
Artal‐Sanz, Marta & Nektarios Tavernarakis. (2005). Proteolytic mechanisms in necrotic cell death and neurodegeneration. FEBS Letters. 579(15). 3287–3296. 107 indexed citations
18.
Krijgsveld, Jeroen, René F. Ketting, Tokameh Mahmoudi, et al.. (2003). Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics. Nature Biotechnology. 21(8). 927–931. 323 indexed citations
19.
Back, Jaap Willem, Marta Artal‐Sanz, Luitzen de Jong, et al.. (2002). A structure for the yeast prohibitin complex: Structure prediction and evidence from chemical crosslinking and mass spectrometry. Protein Science. 11(10). 2471–2478. 144 indexed citations
20.
Grivell, Leslie A., et al.. (1999). Mitochondrial assembly in yeast. FEBS Letters. 452(1-2). 57–60. 62 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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