Marisela Rubio‐Andrade

900 total citations
15 papers, 697 citations indexed

About

Marisela Rubio‐Andrade is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Sociology and Political Science. According to data from OpenAlex, Marisela Rubio‐Andrade has authored 15 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 9 papers in Environmental Chemistry and 3 papers in Sociology and Political Science. Recurrent topics in Marisela Rubio‐Andrade's work include Heavy Metal Exposure and Toxicity (12 papers), Arsenic contamination and mitigation (9 papers) and Environmental Justice and Health Disparities (3 papers). Marisela Rubio‐Andrade is often cited by papers focused on Heavy Metal Exposure and Toxicity (12 papers), Arsenic contamination and mitigation (9 papers) and Environmental Justice and Health Disparities (3 papers). Marisela Rubio‐Andrade collaborates with scholars based in Mexico, United States and South Africa. Marisela Rubio‐Andrade's co-authors include Gonzalo G. Garcı́a-Vargas, Rebecca C. Fry, Miroslav Stýblo, Zuzana Drobná, Lisa Smeester, Kathryn A. Bailey, Jessica E. Laine, Julia E. Rager, Andrew F. Olshan and Mariano E. Cebrián and has published in prestigious journals such as Environmental Science & Technology, Environmental Health Perspectives and Environmental Research.

In The Last Decade

Marisela Rubio‐Andrade

14 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marisela Rubio‐Andrade Mexico 11 489 267 173 108 107 15 697
Jessica E. Laine Switzerland 11 422 0.9× 211 0.8× 173 1.0× 81 0.8× 134 1.3× 18 738
Paige A. Bommarito United States 17 468 1.0× 219 0.8× 123 0.7× 90 0.8× 204 1.9× 45 795
Jenna M. Currier United States 12 459 0.9× 467 1.7× 211 1.2× 95 0.9× 50 0.5× 16 731
Hasan Shahriar United States 16 361 0.7× 272 1.0× 163 0.9× 93 0.9× 44 0.4× 44 670
Miranda J. Spratlen United States 13 332 0.7× 365 1.4× 102 0.6× 64 0.6× 70 0.7× 22 574
Golam Mostofa United States 22 757 1.5× 454 1.7× 332 1.9× 267 2.5× 185 1.7× 37 1.2k
Golam Mahiuddin United States 18 720 1.5× 711 2.7× 242 1.4× 159 1.5× 68 0.6× 23 1.1k
Sarbari Lahiri India 10 629 1.3× 652 2.4× 358 2.1× 190 1.8× 58 0.5× 12 1.1k
Mohammad L. Rahman United States 18 403 0.8× 174 0.7× 96 0.6× 178 1.6× 290 2.7× 61 855
Ling-I Hsu Taiwan 15 323 0.7× 347 1.3× 194 1.1× 66 0.6× 23 0.2× 19 597

Countries citing papers authored by Marisela Rubio‐Andrade

Since Specialization
Citations

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

Fields of papers citing papers by Marisela Rubio‐Andrade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marisela Rubio‐Andrade. 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 Marisela Rubio‐Andrade. The network helps show where Marisela Rubio‐Andrade may publish in the future.

Co-authorship network of co-authors of Marisela Rubio‐Andrade

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

All Works

15 of 15 papers shown
1.
Rubio‐Andrade, Marisela, et al.. (2025). Vigilancia epidemiológica en población infantil expuesta a plomo en Coahuila, México. Salud Pública de México. 67(5 (sept-oct)). 485–493.
2.
Bommarito, Paige A., Miroslav Stýblo, Marisela Rubio‐Andrade, et al.. (2022). Maternal serum concentrations of one-carbon metabolism factors modify the association between biomarkers of arsenic methylation efficiency and birth weight. Environmental Health. 21(1). 68–68. 2 indexed citations
3.
Laine, Jessica E., Vesna Ilievski, David B. Richardson, et al.. (2018). Maternal one carbon metabolism and arsenic methylation in a pregnancy cohort in Mexico. Journal of Exposure Science & Environmental Epidemiology. 28(5). 505–514. 18 indexed citations
4.
Rubio‐Andrade, Marisela, et al.. (2016). Relations between renal function, obesity and low blood lead level in an environmentally exposed population. Toxicology Letters. 259. S164–S164. 1 indexed citations
5.
6.
Garcı́a-Vargas, Gonzalo G., et al.. (2016). Advancing Dose–Response Assessment Methods for Environmental Regulatory Impact Analysis: A Bayesian Belief Network Approach Applied to Inorganic Arsenic. Environmental Science & Technology Letters. 3(5). 200–204. 6 indexed citations
7.
Laine, Jessica E., Kathryn A. Bailey, Andrew F. Olshan, et al.. (2016). Neonatal Metabolomic Profiles Related to Prenatal Arsenic Exposure. Environmental Science & Technology. 51(1). 625–633. 32 indexed citations
8.
Laine, Jessica E., Kathryn A. Bailey, Marisela Rubio‐Andrade, et al.. (2014). Maternal Arsenic Exposure, Arsenic Methylation Efficiency, and Birth Outcomes in the Biomarkers of Exposure to ARsenic (BEAR) Pregnancy Cohort in Mexico. Environmental Health Perspectives. 123(2). 186–192. 120 indexed citations
9.
Bailey, Kathryn A., Jessica E. Laine, Julia E. Rager, et al.. (2014). Prenatal Arsenic Exposure and Shifts in the Newborn Proteome: Interindividual Differences in Tumor Necrosis Factor (TNF)-Responsive Signaling. Toxicological Sciences. 139(2). 328–337. 32 indexed citations
10.
Weaver, Virginia M., Gonzalo G. Garcı́a-Vargas, Ellen K. Silbergeld, et al.. (2014). Impact of urine concentration adjustment method on associations between urine metals and estimated glomerular filtration rates (eGFR) in adolescents. Environmental Research. 132. 226–232. 43 indexed citations
11.
Garcı́a-Vargas, Gonzalo G., Stephen J. Rothenberg, Ellen K. Silbergeld, et al.. (2014). Spatial clustering of toxic trace elements in adolescents around the Torreón, Mexico lead–zinc smelter. Journal of Exposure Science & Environmental Epidemiology. 24(6). 634–642. 20 indexed citations
12.
Rager, Julia E., Lisa Smeester, Kathryn A. Bailey, et al.. (2014). Prenatal Arsenic Exposure and the Epigenome: Identifying Sites of 5-methylcytosine Alterations that Predict Functional Changes in Gene Expression in Newborn Cord Blood and Subsequent Birth Outcomes. Toxicological Sciences. 143(1). 97–106. 133 indexed citations
13.
Rager, Julia E., Kathryn A. Bailey, Lisa Smeester, et al.. (2013). Prenatal arsenic exposure and the epigenome: Altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood. Environmental and Molecular Mutagenesis. 55(3). 196–208. 138 indexed citations
14.
Rubio‐Andrade, Marisela, et al.. (2011). Follow-up study on lead exposure in children living in a smelter community in northern Mexico. Environmental Health. 10(1). 66–66. 12 indexed citations
15.
Hernández‐Ochoa, Isabel, Gonzalo G. Garcı́a-Vargas, Lizbeth López‐Carrillo, et al.. (2005). Low lead environmental exposure alters semen quality and sperm chromatin condensation in northern Mexico. Reproductive Toxicology. 20(2). 221–228. 119 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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