Gabriela Concha

3.3k total citations
32 papers, 2.6k citations indexed

About

Gabriela Concha is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Gabriela Concha has authored 32 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Environmental Chemistry, 18 papers in Health, Toxicology and Mutagenesis and 6 papers in Molecular Biology. Recurrent topics in Gabriela Concha's work include Arsenic contamination and mitigation (24 papers), Heavy Metal Exposure and Toxicity (17 papers) and Environmental Justice and Health Disparities (5 papers). Gabriela Concha is often cited by papers focused on Arsenic contamination and mitigation (24 papers), Heavy Metal Exposure and Toxicity (17 papers) and Environmental Justice and Health Disparities (5 papers). Gabriela Concha collaborates with scholars based in Sweden, Argentina and Bangladesh. Gabriela Concha's co-authors include Marie Vahter, Barbro Nermell, Karin Bröberg, Karin Engström, Mohammad Bakhtiar Hossain, Fernando Noel Dulout, Robert Nilsson, A.T. Natarajan, Margareta Warholm and Margaretha Grandér and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

Gabriela Concha

31 papers receiving 2.6k citations

Peers

Gabriela Concha
Alauddin Ahmed United States
Mahmuder Rahman United States
Zuzana Drobná United States
Vesna Ilievski United States
Gabriela Concha
Citations per year, relative to Gabriela Concha Gabriela Concha (= 1×) peers Meei‐Maan Wu

Countries citing papers authored by Gabriela Concha

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Concha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Concha

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Concha. A scholar is included among the top collaborators of Gabriela Concha 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 Gabriela Concha. Gabriela Concha 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.
Ameer, Syeda Shegufta, Karin Engström, Mohammad Bakhtiar Hossain, et al.. (2017). Arsenic exposure from drinking water is associated with decreased gene expression and increased DNA methylation in peripheral blood. Toxicology and Applied Pharmacology. 321. 57–66. 34 indexed citations
2.
Ameer, Syeda Shegufta, Yiyi Xu, Karin Engström, et al.. (2016). Exposure to Inorganic Arsenic Is Associated with Increased Mitochondrial DNA Copy Number and Longer Telomere Length in Peripheral Blood. Frontiers in Cell and Developmental Biology. 4. 87–87. 46 indexed citations
3.
Ameer, Syeda Shegufta, Karin Engström, Florencia Harari, et al.. (2015). The effects of arsenic exposure on blood pressure and early risk markers of cardiovascular disease: Evidence for population differences. Environmental Research. 140. 32–36. 29 indexed citations
4.
Harari, Florencia, et al.. (2013). N-6-Adenine-Specific DNA Methyltransferase 1 ( N6AMT1 ) Polymorphisms and Arsenic Methylation in Andean Women. Environmental Health Perspectives. 121(7). 797–803. 31 indexed citations
5.
Hossain, Mohammad Bakhtiar, Marie Vahter, Gabriela Concha, & Karin Bröberg. (2012). Environmental arsenic exposure and DNA methylation of the tumor suppressor gene p16 and the DNA repair gene MLH1: effect of arsenic metabolism and genotype. Metallomics. 4(11). 1167–1167. 61 indexed citations
6.
Hossain, Mohammad Bakhtiar, Marie Vahter, Gabriela Concha, & Karin Bröberg. (2012). Low-Level Environmental Cadmium Exposure Is Associated with DNA Hypomethylation in Argentinean Women. Environmental Health Perspectives. 120(6). 879–884. 95 indexed citations
7.
Harari, Florencia, Ana María Ronco, Gabriela Concha, et al.. (2012). Early-life exposure to lithium and boron from drinking water. Reproductive Toxicology. 34(4). 552–560. 21 indexed citations
8.
Schlebusch, Carina M., Cecil M. Lewis, Marie Vahter, et al.. (2012). Possible Positive Selection for an Arsenic-Protective Haplotype in Humans. Environmental Health Perspectives. 121(1). 53–58. 36 indexed citations
9.
Bröberg, Karin, et al.. (2011). Lithium in Drinking Water and Thyroid Function. Environmental Health Perspectives. 119(6). 827–830. 66 indexed citations
10.
Engström, Karin, Marie Vahter, Simona Jurković Mlakar, et al.. (2010). Polymorphisms in Arsenic(+III Oxidation State) Methyltransferase ( AS3MT ) Predict Gene Expression of AS3MT as Well as Arsenic Metabolism. Environmental Health Perspectives. 119(2). 182–188. 143 indexed citations
11.
Engström, Karin, Marie Vahter, Christian Lindh, et al.. (2009). Low 8-oxo-7,8-dihydro-2′-deoxyguanosine levels and influence of genetic background in an Andean population exposed to high levels of arsenic. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 683(1-2). 98–105. 24 indexed citations
12.
Nermell, Barbro, et al.. (2008). Arsenic metabolism is influenced by polymorphisms in genes involved in one-carbon metabolism and reduction reactions. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 667(1-2). 4–14. 80 indexed citations
13.
Bröberg, Karin, et al.. (2007). Genetic Polymorphisms Influencing Arsenic Metabolism: Evidence from Argentina. Environmental Health Perspectives. 115(4). 599–605. 166 indexed citations
14.
Concha, Gabriela, et al.. (2002). Intra-individual variation in the metabolism of inorganic arsenic. International Archives of Occupational and Environmental Health. 75(8). 576–580. 85 indexed citations
15.
Vahter, Marie & Gabriela Concha. (2001). Role of Metabolism in Arsenic Toxicity. Pharmacology & Toxicology. 89(1). 1–5. 232 indexed citations
16.
Concha, Gabriela. (1998). Exposure to Inorganic Arsenic Metabolites during Early Human Development. Toxicological Sciences. 44(2). 185–190. 322 indexed citations
17.
Concha, Gabriela, Barbro Nermell, & Marie Vahter. (1998). Metabolism of inorganic arsenic in children with chronic high arsenic exposure in northern Argentina.. Environmental Health Perspectives. 106(6). 355–359. 167 indexed citations
18.
Concha, Gabriela, et al.. (1998). Low-level arsenic excretion in breast milk of native Andean women exposed to high levels of arsenic in the drinking water. International Archives of Occupational and Environmental Health. 71(1). 42–46. 108 indexed citations
19.
Vahter, Marie, Gabriela Concha, Barbro Nermell, et al.. (1995). A unique metabolism of inorganic arsenic in native Andean women. European Journal of Pharmacology Environmental Toxicology and Pharmacology. 293(4). 455–462. 179 indexed citations
20.
Concha, Gabriela, et al.. (1978). [Diphenylhydantoin and phenobarbital blood levels measured by gas-liquid chromatography (authors transl)].. PubMed. 106(3). 217–20.

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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