Joon Young Kim

1.2k total citations
58 papers, 785 citations indexed

About

Joon Young Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Joon Young Kim has authored 58 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Physiology and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Joon Young Kim's work include Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Obesity, Physical Activity, Diet (14 papers) and Diabetes Management and Research (11 papers). Joon Young Kim is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Obesity, Physical Activity, Diet (14 papers) and Diabetes Management and Research (11 papers). Joon Young Kim collaborates with scholars based in United States, South Korea and Lebanon. Joon Young Kim's co-authors include Silva Arslanian, Hala Tfayli, Sara F. Michaliszyn, Fida Bacha, Gabriel Q. Shaibi, Alexis Nasr, SoJung Lee, Dawn K. Coletta, Lawrence J. Mandarino and Kara S. Hughan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Joon Young Kim

50 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon Young Kim United States 17 320 217 179 179 136 58 785
Roberta de Souza Santos United States 13 149 0.5× 266 1.2× 126 0.7× 90 0.5× 75 0.6× 26 770
Blandine Tramunt France 10 282 0.9× 247 1.1× 153 0.9× 97 0.5× 123 0.9× 15 861
Giulia de Alteriis Italy 17 173 0.5× 450 2.1× 184 1.0× 205 1.1× 69 0.5× 29 958
Georgia Argyrakopoulou Greece 13 150 0.5× 204 0.9× 88 0.5× 198 1.1× 141 1.0× 31 782
Christian R. Juhl Denmark 12 353 1.1× 278 1.3× 144 0.8× 69 0.4× 123 0.9× 26 816
Walkyria de Paula Pimenta Brazil 9 691 2.2× 279 1.3× 357 2.0× 118 0.7× 282 2.1× 15 1.3k
M. Carantoni United States 15 497 1.6× 289 1.3× 238 1.3× 108 0.6× 151 1.1× 22 997
Sukriti Kumar India 7 246 0.8× 145 0.7× 102 0.6× 53 0.3× 51 0.4× 17 533
Katherine H. Ingram United States 13 150 0.5× 266 1.2× 161 0.9× 109 0.6× 53 0.4× 24 664
André F. Reis Brazil 19 228 0.7× 244 1.1× 187 1.0× 42 0.2× 171 1.3× 38 852

Countries citing papers authored by Joon Young Kim

Since Specialization
Citations

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

Fields of papers citing papers by Joon Young Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon Young Kim. 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 Joon Young Kim. The network helps show where Joon Young Kim may publish in the future.

Co-authorship network of co-authors of Joon Young Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Joon Young Kim. A scholar is included among the top collaborators of Joon Young Kim 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 Joon Young Kim. Joon Young Kim 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.
Cho, Wonhee, Joon Young Kim, & Silva Arslanian. (2025). Relative Fat Mass as an Estimator of Abdominal Adiposity in Youth Across the BMI Spectrum from Normal Weight to Obesity. Pediatric Obesity. 20(12). e70059–e70059.
2.
Choi, Youngha, et al.. (2025). Development and validation of a machine learning model for predicting pediatric metabolic syndrome using anthropometric and bioelectrical impedance parameters. International Journal of Obesity. 49(6). 1159–1165. 1 indexed citations
3.
Park, Dong‐Hyuk, Dong Hoon Lee, Yong‐ho Lee, et al.. (2025). Meeting Physical Activity Guidelines: Impact on Chronic Kidney Disease Prevalence in Diabetic Individuals. Yonsei Medical Journal. 66(8). 519–519.
4.
Kim, Joon Young, et al.. (2025). The association between estimated pulse wave velocity and balance function in U.S. adults. Journal of Human Hypertension. 39(11). 764–769.
5.
Ha, Joon, et al.. (2024). A Mathematical Model-Derived Disposition Index Without Insulin Validated in Youth With Obesity. The Journal of Clinical Endocrinology & Metabolism. 110(3). 706–714.
6.
Cho, Wonhee, et al.. (2024). Single point insulin sensitivity estimator index for identifying metabolic syndrome in US adults: NHANES 2017-march 2020. Obesity Research & Clinical Practice. 18(4). 280–285. 2 indexed citations
7.
Kim, Joon Young, et al.. (2024). Can adiposity measures enhance the predictive power of the triglyceride-glucose index for metabolic syndrome in adults in the United States?. Obesity Research & Clinical Practice. 18(5). 343–349. 1 indexed citations
8.
Burke, Sara E., et al.. (2024). Comparison of daily step count between the Fitbit Inspire 3 and the activPAL 3 in adults with transtibial amputation. SHILAP Revista de lepidopterología. 5. 1331005–1331005. 2 indexed citations
9.
Ha, Joon, Stephanie T. Chung, Joon Young Kim, et al.. (2023). Estimating insulin sensitivity and β-cell function from the oral glucose tolerance test: validation of a new insulin sensitivity and secretion (ISS) model. American Journal of Physiology-Endocrinology and Metabolism. 326(4). E454–E471. 5 indexed citations
10.
Seo, Myong-Won, Wonhee Cho, & Joon Young Kim. (2023). The single point insulin sensitivity estimator (SPISE) index as a predictor of metabolic syndrome in Korean adults. Obesity Research & Clinical Practice. 17(3). 198–202. 7 indexed citations
11.
Seo, Myong-Won & Joon Young Kim. (2023). Metabolically unhealthy phenotype in adults with normal weight: Is cardiometabolic health worse off when compared to adults with obesity?. Obesity Research & Clinical Practice. 17(2). 116–121. 4 indexed citations
12.
Kim, Joon Young, et al.. (2022). Metabolic syndrome: Operational definitions and aerobic and resistance training benefits on physical and metabolic health in children and adolescents. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 16(6). 102530–102530. 6 indexed citations
13.
Kim, Joon Young, et al.. (2021). Metabolic inflexibility in youth with obesity: Is it a feature of obesity or distinctive of youth who are metabolically unhealthy?. Clinical Obesity. 12(2). e12501–e12501. 2 indexed citations
14.
Kim, Joon Young, et al.. (2021). Youth prediabetes and type 2 diabetes: Risk factors and prevalence of dysglycaemia. Pediatric Obesity. 17(1). e12841–e12841. 17 indexed citations
15.
Kim, Joon Young, et al.. (2021). Cardarine (GW501516) Effects on Improving Metabolic Syndrome. 2(2). 22–27. 1 indexed citations
16.
Kim, Joon Young, et al.. (2020). β-cell impairment and clinically meaningful alterations in glycemia in obese youth across the glucose tolerance spectrum. Metabolism. 112. 154346–154346. 4 indexed citations
17.
Arslanian, Silva, Joon Young Kim, Alexis Nasr, et al.. (2017). Insulin sensitivity across the lifespan from obese adolescents to obese adults with impaired glucose tolerance: Who is worse off?. Pediatric Diabetes. 19(2). 205–211. 53 indexed citations
18.
Kim, Joon Young, Michael I. Goran, Claudia M. Toledo‐Corral, Marc J. Weigensberg, & Gabriel Q. Shaibi. (2014). Comparing glycemic indicators of prediabetes: a prospective study of obese Latino Youth. Pediatric Diabetes. 16(8). 640–643. 8 indexed citations
19.
Puppala, Sobha, Geetha Chittoor, Jennifer L. Schneider, et al.. (2014). Association of Common Genetic Variants with Diabetes and Metabolic Syndrome Related Traits in the Arizona Insulin Resistance Registry: A Focus on Mexican American Families in the Southwest. Human Heredity. 78(1). 47–58. 36 indexed citations
20.
Kim, Joon Young, Michael I. Goran, Claudia M. Toledo‐Corral, et al.. (2013). One-Hour Glucose During an Oral Glucose Challenge Prospectively Predicts β-Cell Deterioration and Prediabetes in Obese Hispanic Youth. Diabetes Care. 36(6). 1681–1686. 29 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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