Young‐Mi Go

10.0k total citations · 1 hit paper
143 papers, 8.0k citations indexed

About

Young‐Mi Go is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Biochemistry. According to data from OpenAlex, Young‐Mi Go has authored 143 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 35 papers in Health, Toxicology and Mutagenesis and 28 papers in Biochemistry. Recurrent topics in Young‐Mi Go's work include Metabolomics and Mass Spectrometry Studies (40 papers), Redox biology and oxidative stress (33 papers) and Sulfur Compounds in Biology (21 papers). Young‐Mi Go is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (40 papers), Redox biology and oxidative stress (33 papers) and Sulfur Compounds in Biology (21 papers). Young‐Mi Go collaborates with scholars based in United States, South Korea and Canada. Young‐Mi Go's co-authors include Dean P. Jones, Jason M. Hansen, Karan Uppal, Melissa L. Kemp, Joshua D. Chandler, Hanjoong Jo, Heonyong Park, Michael Orr, Jolyn Fernandes and Thomas R. Ziegler and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Young‐Mi Go

136 papers receiving 7.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Redox compartmentalization in eukaryotic cells

2008 512 citations Young‐Mi Go, Dean P. Jones profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Young‐Mi Go United States	48	4.3k	1.3k	1.3k	1.1k	840	143	8.0k
Aldo Milzani Italy	53	5.6k 1.3×	2.2k 1.7×	2.4k 1.8×	767 0.7×	1.1k 1.3×	132	12.4k
Hongqiao Zhang United States	33	3.6k 0.8×	951 0.7×	857 0.7×	558 0.5×	614 0.7×	79	7.5k
Daniela Giustarini Italy	52	5.4k 1.3×	2.7k 2.1×	2.3k 1.8×	685 0.6×	1.1k 1.4×	123	12.0k
Roberto Colombo Italy	29	3.4k 0.8×	1.2k 0.9×	1.5k 1.2×	502 0.5×	730 0.9×	61	7.7k
Danyelle M. Townsend United States	50	6.3k 1.5×	2.1k 1.6×	754 0.6×	624 0.6×	1.4k 1.6×	160	12.2k
Howard G. Shertzer United States	46	3.5k 0.8×	1.2k 0.9×	888 0.7×	1.6k 1.5×	628 0.7×	128	8.1k
Isabella Dalle‐Donne Italy	56	6.2k 1.4×	2.3k 1.8×	2.5k 1.9×	862 0.8×	1.2k 1.5×	134	13.4k
Giorgio Federici Italy	55	6.8k 1.6×	1.4k 1.1×	889 0.7×	632 0.6×	672 0.8×	308	12.2k
Yoshito Kumagai Japan	54	5.0k 1.2×	2.6k 2.0×	1.0k 0.8×	2.3k 2.2×	1.0k 1.2×	283	11.0k
Rodrigo Franco United States	45	4.2k 1.0×	552 0.4×	891 0.7×	662 0.6×	518 0.6×	112	8.3k

Countries citing papers authored by Young‐Mi Go

Since Specialization

Citations

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

Fields of papers citing papers by Young‐Mi Go

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Mi Go. 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 Young‐Mi Go. The network helps show where Young‐Mi Go may publish in the future.

Co-authorship network of co-authors of Young‐Mi Go

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

All Works

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20 of 20 papers shown

Wang, Dongxue, John Chan, ViLinh Tran, et al.. (2025). Single-Cell Multiome Impact of Prenatal Heavy Metal Exposure on Early Airway Development. American Journal of Respiratory Cell and Molecular Biology. 74(1). 106–118.

Hu, Xin, et al.. (2024). A pilot metabolomics study across the continuum of interstitial lung disease fibrosis severity. Physiological Reports. 12(20). e70093–e70093.

Liu, Ken, Choon‐Myung Lee, Edward T. Morgan, et al.. (2024). Mammalian hydroxylation of microbiome-derived obesogen, delta-valerobetaine, to homocarnitine, a 5-carbon carnitine analog. Journal of Biological Chemistry. 301(1). 108074–108074. 1 indexed citations

Juran, Brian D., Ahmad H. Ali, Erik M. Schlicht, et al.. (2023). Environmental chemicals and endogenous metabolites in bile of USA and Norway patients with primary sclerosing cholangitis. PubMed. 3(1). osac011–osac011. 2 indexed citations

Lee, Choon‐Myung, Ki‐Hye Kim, Xiaojia He, et al.. (2023). Metabolic reprograming and increased inflammation by cadmium exposure following early-life respiratory syncytial virus infection: the involvement of protein S-palmitoylation. Toxicological Sciences. 197(2). 186–196. 7 indexed citations

Hu, Xin, Douglas I. Walker, Yongliang Liang, et al.. (2021). A scalable workflow to characterize the human exposome. Nature Communications. 12(1). 5575–5575. 47 indexed citations

Liu, Ken, Preeti Bais, F Castellanos, et al.. (2021). Large scale enzyme based xenobiotic identification for exposomics. Nature Communications. 12(1). 5418–5418. 25 indexed citations

Smith, Matthew Ryan, et al.. (2020). Metabolome-wide association study of flavorant vanillin exposure in bronchial epithelial cells reveals disease-related perturbations in metabolism. Environment International. 147. 106323–106323. 14 indexed citations

Mallon, Timothy M., Douglas I. Walker, Thomas H. Thatcher, et al.. (2019). Use of Biomarkers to Assess Environmental Exposures and Health Outcomes in Deployed Troops. Journal of Occupational and Environmental Medicine. 61(Supplement 12). S1–S4. 4 indexed citations

10.

Smith, Matthew Ryan, Collynn F. Woeller, Karan Uppal, et al.. (2019). Associations of Benzo(ghi)perylene and Heptachlorodibenzo-p-dioxin in Serum of Service Personnel Deployed to Balad, Iraq, and Bagram, Afghanistan Correlates With Perturbed Amino Acid Metabolism in Human Lung Fibroblasts. Journal of Occupational and Environmental Medicine. 61(Supplement 12). S35–S44. 4 indexed citations

11.

Smith, Matthew Ryan, Karan Uppal, Douglas I. Walker, et al.. (2019). Environmental Chemicals Altered in Association With Deployment for High Risk Areas. Journal of Occupational and Environmental Medicine. 61(Supplement 12). S15–S24. 3 indexed citations

12.

Thakar, Juilee, Thomas H. Thatcher, Matthew Ryan Smith, et al.. (2019). Integrative Network Analysis Linking Clinical Outcomes With Environmental Exposures and Molecular Variations in Service Personnel Deployed to Balad and Bagram. Journal of Occupational and Environmental Medicine. 61(Supplement 12). S65–S72. 4 indexed citations

13.

Smith, Matthew Ryan, Douglas I. Walker, Karan Uppal, et al.. (2019). Benzo[a]pyrene Perturbs Mitochondrial and Amino Acid Metabolism in Lung Epithelial Cells and Has Similar Correlations With Metabolic Changes in Human Serum. Journal of Occupational and Environmental Medicine. 61(Supplement 12). S73–S81. 11 indexed citations

14.

Thatcher, Thomas H., Collynn F. Woeller, Juilee Thakar, et al.. (2019). Analysis of Postdeployment Serum Samples Identifies Potential Biomarkers of Exposure to Burn Pits and Other Environmental Hazards. Journal of Occupational and Environmental Medicine. 61(Supplement 12). S45–S54. 8 indexed citations

15.

Chandler, Joshua D., Camilla Margaroli, Hamed Horati, et al.. (2018). Myeloperoxidase oxidation of methionine associates with early cystic fibrosis lung disease. European Respiratory Journal. 52(4). 1801118–1801118. 39 indexed citations

16.

Go, Young‐Mi & Dean P. Jones. (2016). Exposure Memory and Lung Regeneration. Annals of the American Thoracic Society. 13(Supplement_5). S452–S461. 6 indexed citations

17.

Go, Young‐Mi, Dean P. Jones, & Michael C. Orr. (2013). Integrated Redox Proteomics and Metabolomics to Identify Mechanisms of Cd Toxicity. Free Radical Biology and Medicine. 65. S151–S151. 1 indexed citations

18.

Go, Young‐Mi, Jan Pohl, & Dean P. Jones. (2008). Quantification of Redox Conditions in the Nucleus. Methods in molecular biology. 464. 303–317. 40 indexed citations

19.

Go, Young‐Mi, et al.. (2005). Extracellular cysteine/cystine redox regulates the p44/p42 MAPK pathway by metalloproteinase-dependent epidermal growth factor receptor signaling. American Journal of Physiology-Gastrointestinal and Liver Physiology. 289(1). G70–G78. 48 indexed citations

20.

Lim, Jae‐Young, et al.. (2004). Utilization Status of Public Health and Medical Rehabilitation Services by the Persons with Disabilities in Community. Annals of Rehabilitation Medicine. 28(2). 175–181. 2 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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