Gin C. Chuang

553 total citations
8 papers, 352 citations indexed

About

Gin C. Chuang is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Physiology. According to data from OpenAlex, Gin C. Chuang has authored 8 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Health, Toxicology and Mutagenesis and 2 papers in Physiology. Recurrent topics in Gin C. Chuang's work include Air Quality and Health Impacts (3 papers), Climate Change and Health Impacts (3 papers) and Adipose Tissue and Metabolism (2 papers). Gin C. Chuang is often cited by papers focused on Air Quality and Health Impacts (3 papers), Climate Change and Health Impacts (3 papers) and Adipose Tissue and Metabolism (2 papers). Gin C. Chuang collaborates with scholars based in United States. Gin C. Chuang's co-authors include Zhen Yang, Scott W. Ballinger, Kurt J. Varner, Melissa Pompilius, Carol A. Ballinger, Edward M. Postlethwait, David G. Westbrook, C. Roger White, David M. Krzywanski and Reed A. Dimmitt and has published in prestigious journals such as American Journal of Physiology-Endocrinology and Metabolism, American Journal of Physiology-Heart and Circulatory Physiology and American Journal of Physiology-Lung Cellular and Molecular Physiology.

In The Last Decade

Gin C. Chuang

8 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gin C. Chuang United States	7	188	83	41	37	33	8	352
Joel Norwood United States	8	163 0.9×	39 0.5×	19 0.5×	36 1.0×	20 0.6×	12	362
Lopa Das United States	10	294 1.6×	78 0.9×	13 0.3×	42 1.1×	50 1.5×	12	583
Yuanyuan Cai China	8	284 1.5×	52 0.6×	15 0.4×	80 2.2×	80 2.4×	13	515
Lori Horton United States	12	220 1.2×	94 1.1×	32 0.8×	10 0.3×	35 1.1×	27	534
Wen-Yeh Hsieh Taiwan	7	201 1.1×	62 0.7×	12 0.3×	22 0.6×	41 1.2×	8	395
Judith C. Stewart United States	10	376 2.0×	49 0.6×	23 0.6×	50 1.4×	88 2.7×	12	572
Wenyan Fan China	10	153 0.8×	72 0.9×	26 0.6×	38 1.0×	47 1.4×	19	443
John T. Szilagyi United States	13	334 1.8×	93 1.1×	65 1.6×	19 0.5×	11 0.3×	16	657
Ritul Kamal India	14	269 1.4×	31 0.4×	15 0.4×	39 1.1×	47 1.4×	24	496
Elizabeth Oesterling Owens United States	10	323 1.7×	77 0.9×	80 2.0×	13 0.4×	81 2.5×	10	443

Countries citing papers authored by Gin C. Chuang

Since Specialization

Citations

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

Fields of papers citing papers by Gin C. Chuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gin C. Chuang. 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 Gin C. Chuang. The network helps show where Gin C. Chuang may publish in the future.

Co-authorship network of co-authors of Gin C. Chuang

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

All Works

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8 of 8 papers shown

Subramaniam, Venkat, Gin C. Chuang, Huijing Xia, et al.. (2017). Pituitary adenylate cyclase-activating polypeptide (PACAP) protects against mitoxantrone-induced cardiac injury in mice. Peptides. 95. 25–32. 8 indexed citations

Chuang, Gin C., et al.. (2016). Environmentally Persistent Free Radicals Cause Apoptosis in HL-1 Cardiomyocytes. Cardiovascular Toxicology. 17(2). 140–149. 31 indexed citations

Liu, Jiarong, Wei Zhang, Gin C. Chuang, et al.. (2012). Role of TRIB3 in regulation of insulin sensitivity and nutrient metabolism during short-term fasting and nutrient excess. American Journal of Physiology-Endocrinology and Metabolism. 303(7). E908–E916. 27 indexed citations

Chuang, Gin C., Edward A. Pankey, Lucy W. Kiruri, et al.. (2012). Environmentally persistent free radicals decrease cardiac function and increase pulmonary artery pressure. American Journal of Physiology-Heart and Circulatory Physiology. 303(9). H1135–H1142. 60 indexed citations

Sadler, Georgia Robins, et al.. (2010). Increasing Asian American women's research participation: The Asian grocery store-based cancer education program. Contemporary Clinical Trials. 31(4). 283–288. 2 indexed citations

Dimmitt, Reed A., et al.. (2010). Role of Postnatal Acquisition of the Intestinal Microbiome in the Early Development of Immune Function. Journal of Pediatric Gastroenterology and Nutrition. 51(3). 262–273. 66 indexed citations

Chuang, Gin C., Zhen Yang, David G. Westbrook, et al.. (2009). Pulmonary ozone exposure induces vascular dysfunction, mitochondrial damage, and atherogenesis. American Journal of Physiology-Lung Cellular and Molecular Physiology. 297(2). L209–L216. 112 indexed citations

Yang, Zhen, et al.. (2007). The role of tobacco smoke induced mitochondrial damage in vascular dysfunction and atherosclerosis. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 621(1-2). 61–74. 46 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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