Nam H. Cho

8.9k total citations
87 papers, 3.9k citations indexed

About

Nam H. Cho is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Nam H. Cho has authored 87 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Surgery and 17 papers in Molecular Biology. Recurrent topics in Nam H. Cho's work include Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Bone health and osteoporosis research (12 papers) and Genetic Associations and Epidemiology (11 papers). Nam H. Cho is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Bone health and osteoporosis research (12 papers) and Genetic Associations and Epidemiology (11 papers). Nam H. Cho collaborates with scholars based in South Korea, United States and Puerto Rico. Nam H. Cho's co-authors include Boyd E. Metzger, Thomas A. Rizzo, Sharon L. Dooley, Hak Chul Jang, Soo Lim, Kyong Soo Park, Bernard L. Silverman, Sung Hee Choi, Edward S. Ogata and Jung Hee Kim and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Nam H. Cho

86 papers receiving 3.7k citations

Peers

Nam H. Cho

EDM

SURGE

PHYSI

PPCH

Kathryn L. Pedula United States

Konstantinos A. Toulis Greece

J. Bringer France

Daniel Zehnder United Kingdom

Henrik Schirmer Norway

Angelika Mohn Italy

R. K. Marwaha India

Simon Marceau Canada

Francesco Orio Italy

Markus G. Mohaupt Switzerland

Kathryn L. Pedula United States

Nam H. Cho

853 ×0.9

EDM

602 ×0.8

SURGE

792 ×1.1

562 ×0.8

PHYSI

530 ×0.9

PPCH

Citations per year, relative to Nam H. Cho Nam H. Cho (= 1×) peers Kathryn L. Pedula

Countries citing papers authored by Nam H. Cho

Since Specialization

Citations

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

Fields of papers citing papers by Nam H. Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nam H. Cho. 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 Nam H. Cho. The network helps show where Nam H. Cho may publish in the future.

Co-authorship network of co-authors of Nam H. Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Nam H. Cho. A scholar is included among the top collaborators of Nam H. Cho 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 Nam H. Cho. Nam H. Cho 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

Kwak, Soo Heon, Ji Won Yoon, Sanghun Lee, et al.. (2023). Genome-Wide Association Study on Longitudinal Change in Fasting Plasma Glucose in Korean Population. Diabetes & Metabolism Journal. 47(2). 255–266. 2 indexed citations

Moon, Joon Ho, Hyeongseok Kim, Hyunki Kim, et al.. (2020). Lactation improves pancreatic β cell mass and function through serotonin production. Science Translational Medicine. 12(541). 52 indexed citations

Lee, Hokyou, Hyeon Chang Kim, Seung Soo Sheen, et al.. (2020). Residential Radon Exposure and Cigarette Smoking in Association with Lung Cancer: A Matched Case-Control Study in Korea. International Journal of Environmental Research and Public Health. 17(8). 2946–2946. 11 indexed citations

Cho, Nam H., Young‐Rak Cho, Mi Kyoung Park, et al.. (2019). Effect of Blood Pressure on Cardiovascular Diseases at 10-Year Follow-Up. The American Journal of Cardiology. 123(10). 1654–1659. 2 indexed citations

Oh, Tae Jung, Joon Ho Moon, Soo Heon Kwak, et al.. (2018). Oral Glucose Tolerance Testing Allows Better Prediction of Diabetes in Women with a History of Gestational Diabetes Mellitus. Diabetes & Metabolism Journal. 43(3). 342–342. 12 indexed citations

Park, In Young, et al.. (2018). Gender-specific associations between fat mass, metabolic syndrome and musculoskeletal pain in community residents: A three-year longitudinal study. PLoS ONE. 13(7). e0200138–e0200138. 11 indexed citations

Kim, Song E., Han‐Na Kim, Yeo-Jun Yun, et al.. (2017). Meta-analysis of genome-wide SNP- and pathway-based associations for facets of neuroticism. Journal of Human Genetics. 62(10). 903–909. 30 indexed citations

Cho, Nam H., Hyun Kyu Kim, Jong Bae Kim, et al.. (2017). Carbohydrate Composition Associated with the 2-Year Incidence of Metabolic Syndrome in Korean Adults. Clinical Nutrition Research. 6(2). 122–122. 9 indexed citations

Lee, Seung Ku, Dae Wui Yoon, Si Woo Lee, et al.. (2016). Association of Sasang Constitutional Types with Incident Hypertension: A 12-Year Follow-Up Study. The Journal of Alternative and Complementary Medicine. 22(9). 706–712. 6 indexed citations

10.

Cho, Nam H., et al.. (2016). Prevalence and Risk Factors for Lumbar Spondylosis and Its Association with Low Back Pain among Rural Korean Residents. Journal of Korean Neurosurgical Society. 60(1). 67–74. 9 indexed citations

11.

Moon, Joon Ho, Soo Heon Kwak, Hye Seung Jung, et al.. (2015). Weight Gain and Progression to Type 2 Diabetes in Women With a History of Gestational Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 100(9). 3548–3555. 50 indexed citations

12.

Ohn, Jung Hun, Soo Heon Kwak, Young Min Cho, et al.. (2015). 10-year trajectory of β-cell function and insulin sensitivity in the development of type 2 diabetes: a community-based prospective cohort study. The Lancet Diabetes & Endocrinology. 4(1). 27–34. 169 indexed citations

13.

Kim, Sunshin, et al.. (2013). Diplotyper: diplotype-based association analysis. BMC Medical Genomics. 6(S2). S5–S5. 13 indexed citations

14.

Cho, Nam H., Jong Yeol Kim, Sung Soo Kim, & Chol Shin. (2013). The relationship of metabolic syndrome and constitutional medicine for the prediction of cardiovascular disease. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 7(4). 226–232. 28 indexed citations

15.

Baik, Inkyung, et al.. (2011). Genome-wide association studies identify genetic loci related to alcohol consumption in Korean men. American Journal of Clinical Nutrition. 93(4). 809–816. 79 indexed citations

16.

Lim, Soo, Jung Hee Kim, Ji Won Yoon, et al.. (2011). Optimal cut points of waist circumference (WC) and visceral fat area (VFA) predicting for metabolic syndrome (MetS) in elderly population in the Korean Longitudinal Study on Health and Aging (KLoSHA). Archives of Gerontology and Geriatrics. 54(2). e29–e34. 25 indexed citations

17.

Cho, Nam H.. (2005). Prevalence of diabetes and management status in Korean population. The Korean Journal of Internal Medicine. 68(1). 1–3. 18 indexed citations

18.

Ahn, Younjhin, et al.. (2004). Validation and calibration of semi-quantitative food frequency questionnaire - with participants of the Korean health and genome study -. Journal of Community Nutrition. 9(2). 173–182. 41 indexed citations

19.

Cho, Nam H.. (2001). Diabetes Epidemiology in Korean. 25(1). 1–10. 7 indexed citations

20.

Cho, Nam H., Bernard L. Silverman, Thomas A. Rizzo, & Boyd E. Metzger. (2000). Correlations between the intrauterine metabolic environment and blood pressure in adolescent offspring of diabetic mothers. The Journal of Pediatrics. 136(5). 587–592. 83 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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