Marcela Low

1.4k total citations · 1 hit paper
15 papers, 952 citations indexed

About

Marcela Low is a scholar working on Nutrition and Dietetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Marcela Low has authored 15 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nutrition and Dietetics, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Marcela Low's work include Vitamin C and Antioxidants Research (7 papers), Muscle Physiology and Disorders (6 papers) and Vitamin D Research Studies (6 papers). Marcela Low is often cited by papers focused on Vitamin C and Antioxidants Research (7 papers), Muscle Physiology and Disorders (6 papers) and Vitamin D Research Studies (6 papers). Marcela Low collaborates with scholars based in Chile, Canada and Italy. Marcela Low's co-authors include Fábio Rossi, Darío R. Lemos, Daniela Fiore, Chih-Kai Chang, Sergei A. Nedospasov, Regan‐Heng Zhang, Anuradha Natarajan, Farshad Babaeijandaghi, Robert N. Judson and Francisco Nualart and has published in prestigious journals such as Nature Medicine, FEBS Letters and Kidney International.

In The Last Decade

Marcela Low

14 papers receiving 950 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.

Nilotinib reduces muscle fibrosis in chronic muscle injury by promoting TNF-mediated apoptosis of fibro/adipogenic progenitors

2015 536 citations Darío R. Lemos, Farshad Babaeijandaghi et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcela Low Chile	12	599	237	214	210	147	15	952
Chia‐Lung Wu United States	21	622 1.0×	180 0.8×	204 1.0×	276 1.3×	62 0.4×	40	1.7k
Jackie A. Fretz United States	18	602 1.0×	177 0.7×	285 1.3×	117 0.6×	114 0.8×	24	1.6k
Gaëtan Juban France	16	825 1.4×	208 0.9×	250 1.2×	133 0.6×	165 1.1×	23	1.2k
Emanuele Berardi Belgium	16	841 1.4×	111 0.5×	522 2.4×	154 0.7×	130 0.9×	24	1.2k
Chiara Franzin Italy	17	883 1.5×	395 1.7×	353 1.6×	472 2.2×	87 0.6×	27	1.5k
Sajedah M. Hindi United States	19	886 1.5×	116 0.5×	285 1.3×	147 0.7×	126 0.9×	24	1.1k
Marie‐Claude Sincennes Canada	12	855 1.4×	152 0.6×	213 1.0×	148 0.7×	86 0.6×	16	1.1k
Houda Yacoub‐Youssef France	12	655 1.1×	213 0.9×	173 0.8×	255 1.2×	206 1.4×	37	1.0k
Giulia Minetti Switzerland	12	1.1k 1.8×	127 0.5×	392 1.8×	132 0.6×	72 0.5×	13	1.2k
Jessica A. Sipkens Netherlands	11	760 1.3×	162 0.7×	107 0.5×	125 0.6×	23 0.2×	14	1.1k

Countries citing papers authored by Marcela Low

Since Specialization

Citations

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

Fields of papers citing papers by Marcela Low

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcela Low

This figure shows the co-authorship network connecting the top 25 collaborators of Marcela Low. A scholar is included among the top collaborators of Marcela Low 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 Marcela Low. Marcela Low 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

Sandoval, Daniel, Jorge Ojeda, Marcela Low, et al.. (2024). The sodium/ascorbic acid co-transporter SVCT2 distributes in a striated membrane-enriched domain at the M-band level in slow-twitch skeletal muscle fibers. Biological Research. 57(1). 79–79.

Low, Marcela, Lin Tung, Farshad Babaeijandaghi, et al.. (2023). Activation of β-catenin in mesenchymal progenitors leads to muscle mass loss. Developmental Cell. 58(6). 489–505.e7. 9 indexed citations

Théret, Marine, Marcela Low, Lin Tung, et al.. (2021). In vitro assessment of anti-fibrotic drug activity does not predict in vivo efficacy in murine models of Duchenne muscular dystrophy. Life Sciences. 279. 119482–119482. 13 indexed citations

Soliman, H. S., R. Wilder Scott, Darío R. Lemos, et al.. (2020). Pathogenic Potential of Hic1-Expressing Cardiac Stromal Progenitors. Cell stem cell. 26(2). 205–220.e8. 62 indexed citations

Judson, Robert N., et al.. (2017). Isolation, Culture, and Differentiation of Fibro/Adipogenic Progenitors (FAPs) from Skeletal Muscle. Methods in molecular biology. 1668. 93–103. 35 indexed citations

Low, Marcela, et al.. (2017). Fibro/Adipogenic Progenitors (FAPs): Isolation by FACS and Culture. Methods in molecular biology. 1556. 179–189. 23 indexed citations

Fiore, Daniela, Robert N. Judson, Marcela Low, et al.. (2016). Pharmacological blockage of fibro/adipogenic progenitor expansion and suppression of regenerative fibrogenesis is associated with impaired skeletal muscle regeneration. Stem Cell Research. 17(1). 161–169. 114 indexed citations

Lemos, Darío R., Farshad Babaeijandaghi, Marcela Low, et al.. (2015). Nilotinib reduces muscle fibrosis in chronic muscle injury by promoting TNF-mediated apoptosis of fibro/adipogenic progenitors. Nature Medicine. 21(7). 786–794. 536 indexed citations breakdown →

Latorre, Mauricio, Marcela Low, Angélica Reyes-Jara, et al.. (2015). Interplay between copper and zinc homeostasis through the transcriptional regulator Zur in Enterococcus faecalis. Metallomics. 7(7). 1137–1145. 20 indexed citations

10.

Sandoval, Daniel, Jorge Ojeda, Marcela Low, et al.. (2013). The vitamin C transporter SVCT2 is down-regulated during postnatal development of slow skeletal muscles. Histochemistry and Cell Biology. 139(6). 887–894. 7 indexed citations

11.

Nualart, Francisco, Tamara Castro, Marcela Low, et al.. (2012). Dynamic expression of the sodium-vitamin C co-transporters, SVCT1 and SVCT2, during perinatal kidney development. Histochemistry and Cell Biology. 139(2). 233–247. 17 indexed citations

12.

Low, Marcela, et al.. (2010). Up-regulation of the vitamin C transporter SVCT2 upon differentiation and depolarization of myotubes. FEBS Letters. 585(2). 390–396. 12 indexed citations

13.

Low, Marcela, et al.. (2009). The ascorbic acid transporter SVCT2 is expressed in slow-twitch skeletal muscle fibres. Histochemistry and Cell Biology. 131(5). 565–574. 19 indexed citations

14.

Castro, Tamara, Marcela Low, Katterine Salazar, et al.. (2008). Differential distribution of the Sodium-vitamin C cotransporter-1 along the proximal tubule of the mouse and human kidney. Kidney International. 74(10). 1278–1286. 23 indexed citations

15.

Astuya, Allisson, Teresa Caprile, Maite A. Castro, et al.. (2004). Vitamin C uptake and recycling among normal and tumor cells from the central nervous system. Journal of Neuroscience Research. 79(1-2). 146–156. 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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