Miriam Suazo

497 total citations
16 papers, 406 citations indexed

About

Miriam Suazo is a scholar working on Nutrition and Dietetics, Health, Toxicology and Mutagenesis and Hematology. According to data from OpenAlex, Miriam Suazo has authored 16 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nutrition and Dietetics, 9 papers in Health, Toxicology and Mutagenesis and 7 papers in Hematology. Recurrent topics in Miriam Suazo's work include Trace Elements in Health (11 papers), Heavy Metal Exposure and Toxicity (9 papers) and Iron Metabolism and Disorders (7 papers). Miriam Suazo is often cited by papers focused on Trace Elements in Health (11 papers), Heavy Metal Exposure and Toxicity (9 papers) and Iron Metabolism and Disorders (7 papers). Miriam Suazo collaborates with scholars based in Chile, United States and Italy. Miriam Suazo's co-authors include Maurício González, Verónica Cambiazo, Lucı́a Tapia, Christian Hödar, Mauricio González-Agüero, Ricardo Uauy, Marco A. Méndez, Talía del Pozo, Lee A. Meisel and Katherine García and has published in prestigious journals such as American Journal of Clinical Nutrition, Biochemical Journal and Food Chemistry.

In The Last Decade

Miriam Suazo

15 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miriam Suazo Chile	9	188	114	108	93	57	16	406
Miranda Lau United States	11	248 1.3×	108 0.9×	126 1.2×	314 3.4×	41 0.7×	24	681
Andrey Shtanko United States	7	350 1.9×	121 1.1×	109 1.0×	559 6.0×	51 0.9×	7	806
Evelyn L. McGown United States	13	73 0.4×	35 0.3×	38 0.4×	154 1.7×	8 0.1×	42	453
Amber Lothian Australia	9	149 0.8×	88 0.8×	14 0.1×	99 1.1×	27 0.5×	10	338
Alexander I. Shestopalov United States	9	105 0.6×	54 0.5×	28 0.3×	226 2.4×	6 0.1×	9	380
Zhiwu Zhu United States	8	299 1.6×	129 1.1×	163 1.5×	223 2.4×	56 1.0×	8	515
Alayna M. George Thompson United States	7	65 0.3×	25 0.2×	74 0.7×	180 1.9×	11 0.2×	9	334
Neus Cols Spain	12	329 1.8×	209 1.8×	40 0.4×	139 1.5×	133 2.3×	17	482
S. Hechtenberg Germany	8	320 1.7×	465 4.1×	110 1.0×	193 2.1×	19 0.3×	9	726
Peter C. Jocelyn United Kingdom	5	51 0.3×	23 0.2×	39 0.4×	234 2.5×	8 0.1×	8	493

Countries citing papers authored by Miriam Suazo

Since Specialization

Citations

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

Fields of papers citing papers by Miriam Suazo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Suazo

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

All Works

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16 of 16 papers shown

Suazo, Miriam, Rui Su, Chi Chen, et al.. (2025). Associations between hyperketonemia and the rumen metagenome and metabolome in Holstein cows during the first 2 weeks postpartum. Animal Microbiome. 7(1). 59–59.

Suazo, Miriam, Jeannine Bonilla, Andrea Minuti, et al.. (2024). Rumen-protected methionine supplementation improves lactation performance and alleviates inflammation during a subclinical mastitis challenge in lactating dairy cows. Journal of Dairy Science. 107(12). 10761–10775. 1 indexed citations

Bonilla, Jeannine, Miriam Suazo, Clarisse Marotz, et al.. (2024). Effects of peripartal rumen-derived direct-fed microbial supplementation on lactation performance, metabolism, ruminal fermentation, and microbial abundance in dairy cows. Journal of Dairy Science. 108(3). 2354–2370. 4 indexed citations

Suazo, Miriam, Leonardo Pavéz, Katherine García, et al.. (2020). Melatonin triggers metabolic and gene expression changes leading to improved quality traits of two sweet cherry cultivars during cold storage. Food Chemistry. 319. 126360–126360. 83 indexed citations

Pozo, Talía del, Ricardo Gutiérrez-García, Mauricio Latorre, Maurício González, & Miriam Suazo. (2016). Identification of reference genes for quantitative real-time PCR studies in human cell lines under copper and zinc exposure. BioMetals. 29(5). 935–944. 3 indexed citations

Pozo, Talía del, et al.. (2015). Transcriptional activation of glutathione pathways and role of glucose homeostasis during copper imbalance. BioMetals. 28(2). 321–328. 10 indexed citations

Arredondo, Miguel, et al.. (2013). Assessing chaperone for Zn, Cu-superoxide dismutase as an indicator of copper deficiency in malnourished children. Journal of Trace Elements in Medicine and Biology. 28(1). 23–27. 4 indexed citations

Gutiérrez-García, Ricardo, Talía del Pozo, Miriam Suazo, Verónica Cambiazo, & Maurício González. (2013). Physiological copper exposure in Jurkat cells induces changes in the expression of genes encoding cholesterol biosynthesis proteins. BioMetals. 26(6). 1033–1040. 6 indexed citations

Olivares, Manuel, et al.. (2013). Copper Supplementation at 8 mg Neither Affects Circulating Lipids nor Liver Function in Apparently Healthy Chilean Men. Biological Trace Element Research. 156(1-3). 1–4. 7 indexed citations

10.

Flores, Sebastián, et al.. (2011). The Effect of Calcium on Non-heme Iron Uptake, Efflux, and Transport in Intestinal-like Epithelial Cells (Caco-2 Cells). Biological Trace Element Research. 145(3). 300–303. 12 indexed citations

11.

Suazo, Miriam, Christian Hödar, Carlos Morgan, et al.. (2009). Overexpression of amyloid precursor protein increases copper content in HEK293 cells. Biochemical and Biophysical Research Communications. 382(4). 740–744. 12 indexed citations

12.

González, Maurício, Angélica Reyes-Jara, Miriam Suazo, William J. Jo, & Chris D. Vulpe. (2008). Expression of copper-related genes in response to copper load. American Journal of Clinical Nutrition. 88(3). 830S–834S. 27 indexed citations

13.

Suazo, Miriam, Marco A. Méndez, Rodrigo Pulgar, et al.. (2007). CCS and SOD1 mRNA are reduced after copper supplementation in peripheral mononuclear cells of individuals with high serum ceruloplasmin concentration. The Journal of Nutritional Biochemistry. 19(4). 269–274. 32 indexed citations

14.

Cerpa, Waldo, María Inés Barría, Marcelo A. Chacón, et al.. (2004). The N‐terminal copper‐binding domain of the amyloid precursor protein protects against Cu ²⁺ neurotoxicity in vivo. The FASEB Journal. 18(14). 1701–1703. 33 indexed citations

15.

Tapia, Lucı́a, Mauricio González-Agüero, Miriam Suazo, et al.. (2004). Metallothionein is crucial for safe intracellular copper storage and cell survival at normal and supra-physiological exposure levels. Biochemical Journal. 378(2). 617–624. 95 indexed citations

16.

Tapia, Lucı́a, Miriam Suazo, Christian Hödar, Verónica Cambiazo, & Maurício González. (2003). Copper exposure modifies the content and distribution of trace metals in mammalian cultured cells. BioMetals. 16(1). 169–174. 77 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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