Chin-Chi Kuo

1.8k total citations
19 papers, 1.4k citations indexed

About

Chin-Chi Kuo is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Molecular Biology. According to data from OpenAlex, Chin-Chi Kuo has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 8 papers in Environmental Chemistry and 4 papers in Molecular Biology. Recurrent topics in Chin-Chi Kuo's work include Heavy Metal Exposure and Toxicity (11 papers), Arsenic contamination and mitigation (8 papers) and Palliative Care and End-of-Life Issues (2 papers). Chin-Chi Kuo is often cited by papers focused on Heavy Metal Exposure and Toxicity (11 papers), Arsenic contamination and mitigation (8 papers) and Palliative Care and End-of-Life Issues (2 papers). Chin-Chi Kuo collaborates with scholars based in Taiwan, United States and Austria. Chin-Chi Kuo's co-authors include Ana Navas‐Acién, Katherine Moon, Kristina A. Thayer, Shu‐Li Wang, Ellen K. Silbergeld, Jeffrey J. Fadrowski, Virginia M. Weaver, Eliseo Güallar, Kevin A. Francesconi and Jason G. Umans and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and American Journal of Epidemiology.

In The Last Decade

Chin-Chi Kuo

19 papers receiving 1.3k citations

Peers

Chin-Chi Kuo
Chin-Chi Kuo
Citations per year, relative to Chin-Chi Kuo Chin-Chi Kuo (= 1×) peers Chi‐Jung Chung

Countries citing papers authored by Chin-Chi Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Chi Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin-Chi Kuo. 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 Chin-Chi Kuo. The network helps show where Chin-Chi Kuo may publish in the future.

Co-authorship network of co-authors of Chin-Chi Kuo

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

All Works

19 of 19 papers shown
1.
Tsai, Tsung‐Lin, Chin-Chi Kuo, Ling-I Hsu, et al.. (2020). Association between arsenic exposure, DNA damage, and urological cancers incidence: A long-term follow-up study of residents in an arseniasis endemic area of northeastern Taiwan. Chemosphere. 266. 129094–129094. 22 indexed citations
2.
Wang, Shu‐Li, et al.. (2019). Urinary Concentration Correction Methods for Arsenic, Cadmium, and Mercury: a Systematic Review of Practice-Based Evidence. Current Environmental Health Reports. 6(3). 188–199. 26 indexed citations
3.
Chen, Bradley, Chin-Chi Kuo, Nicole Huang, & Victoria Y. Fan. (2018). Reducing costs at the end of life through provider incentives for hospice care: A retrospective cohort study. Palliative Medicine. 32(8). 1389–1400. 12 indexed citations
4.
Spratlen, Miranda J., Mary V. Gamble, María Grau-Pérez, et al.. (2017). Arsenic metabolism and one-carbon metabolism at low-moderate arsenic exposure: Evidence from the Strong Heart Study. Food and Chemical Toxicology. 105. 387–397. 31 indexed citations
5.
Kuo, Chin-Chi, Katherine Moon, Shu‐Li Wang, Ellen K. Silbergeld, & Ana Navas‐Acién. (2017). The Association of Arsenic Metabolism with Cancer, Cardiovascular Disease, and Diabetes: A Systematic Review of the Epidemiological Evidence. Environmental Health Perspectives. 125(8). 87001–87001. 240 indexed citations
6.
Grau-Pérez, María, Chin-Chi Kuo, Matthew O. Gribble, et al.. (2017). Association of Low-Moderate Arsenic Exposure and Arsenic Metabolism with Incident Diabetes and Insulin Resistance in the Strong Heart Family Study. Environmental Health Perspectives. 125(12). 127004–127004. 92 indexed citations
7.
Chen, Bradley, Victoria Y. Fan, Yiing‐Jenq Chou, & Chin-Chi Kuo. (2017). Costs of care at the end of life among elderly patients with chronic kidney disease: patterns and predictors in a nationwide cohort study. BMC Nephrology. 18(1). 36–36. 19 indexed citations
8.
Newman, Jonathan, Ana Navas‐Acién, Chin-Chi Kuo, et al.. (2016). Peripheral Arterial Disease and Its Association With Arsenic Exposure and Metabolism in the Strong Heart Study. American Journal of Epidemiology. 184(11). 806–817. 26 indexed citations
9.
Grau-Pérez, María, Chin-Chi Kuo, Miranda J. Spratlen, et al.. (2016). The Association of Arsenic Exposure and Metabolism With Type 1 and Type 2 Diabetes in Youth: The SEARCH Case-Control Study. Diabetes Care. 40(1). 46–53. 67 indexed citations
10.
Weidemann, Darcy K., Chin-Chi Kuo, Ana Navas‐Acién, et al.. (2015). Association of arsenic with kidney function in adolescents and young adults: Results from the National Health and Nutrition Examination Survey 2009–2012. Environmental Research. 140. 317–324. 36 indexed citations
11.
Ruíz, Adrián, Chin-Chi Kuo, Pilar Rentero-Garrido, et al.. (2015). Environmental chemicals and DNA methylation in adults: a systematic review of the epidemiologic evidence. Clinical Epigenetics. 7(1). 55–55. 151 indexed citations
12.
Kuo, Chin-Chi, Barbara V. Howard, Jason G. Umans, et al.. (2015). Arsenic Exposure, Arsenic Metabolism, and Incident Diabetes in the Strong Heart Study. Diabetes Care. 38(4). 620–627. 127 indexed citations
13.
Zheng, Laura, et al.. (2014). Arsenic and Chronic Kidney Disease: A Systematic Review. Current Environmental Health Reports. 1(3). 192–207. 123 indexed citations
14.
Lin, Yu-Sheng, Chin-Chi Kuo, Darcy K. Weidemann, et al.. (2014). Urine osmolality in the US population: Implications for environmental biomonitoring. Environmental Research. 136. 482–490. 60 indexed citations
15.
Kuo, Chin-Chi, Virginia M. Weaver, Jeffrey J. Fadrowski, et al.. (2014). Arsenic exposure, hyperuricemia, and gout in US adults. Environment International. 76. 32–40. 54 indexed citations
16.
Kuo, Chin-Chi, Katherine Moon, Kristina A. Thayer, & Ana Navas‐Acién. (2013). Environmental Chemicals and Type 2 Diabetes: An Updated Systematic Review of the Epidemiologic Evidence. Current Diabetes Reports. 13(6). 831–849. 215 indexed citations
17.
Kuo, Chin-Chi, et al.. (2013). Publisher's Note: Growth and Characteristics ofa-Plane GaN on ZnO Heterostructure [J. Electrochem. Soc., 159, H290 (2012)]. ECS Journal of Solid State Science and Technology. 2(3). X1–X1. 4 indexed citations
18.
Wu, Vin‐Cent, Shyh‐Chyi Lo, Yuh‐Lien Chen, et al.. (2011). Endothelial Progenitor Cells in Primary Aldosteronism: A Biomarker of Severity for Aldosterone Vasculopathy and Prognosis. The Journal of Clinical Endocrinology & Metabolism. 96(10). 3175–3183. 65 indexed citations
19.
Kuo, Chin-Chi, et al.. (2010). Psoas Abscess Caused by Non-TyphoidSalmonellain a Patient with Severe Aplastic Anemia. Yonsei Medical Journal. 51(3). 472–472. 4 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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