Kok‐Onn Lee

3.7k total citations
134 papers, 2.8k citations indexed

About

Kok‐Onn Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Kok‐Onn Lee has authored 134 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Endocrinology, Diabetes and Metabolism, 47 papers in Molecular Biology and 29 papers in Surgery. Recurrent topics in Kok‐Onn Lee's work include Growth Hormone and Insulin-like Growth Factors (24 papers), Pancreatic function and diabetes (19 papers) and Metabolism, Diabetes, and Cancer (15 papers). Kok‐Onn Lee is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (24 papers), Pancreatic function and diabetes (19 papers) and Metabolism, Diabetes, and Cancer (15 papers). Kok‐Onn Lee collaborates with scholars based in Singapore, China and United States. Kok‐Onn Lee's co-authors include Peter E. Lobie, Hichem C. Mertani, Tao Zhu, Jianhua Ma, Svetlana Mukhina, Lei Ye, Gérard Morel, Stephen D. Wise, Shu Uin Gan and Peter Gluckman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Kok‐Onn Lee

130 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kok‐Onn Lee Singapore 30 1.2k 1.1k 408 383 350 134 2.8k
A C Moses United States 27 1.4k 1.2× 1.4k 1.2× 427 1.0× 379 1.0× 185 0.5× 49 3.1k
Takahisa Kawaguchi Japan 28 499 0.4× 1000 0.9× 497 1.2× 575 1.5× 405 1.2× 132 3.7k
Shin‐ichi Harashima Japan 21 782 0.7× 944 0.9× 425 1.0× 299 0.8× 110 0.3× 69 2.9k
Luca Dalle Carbonare Italy 35 321 0.3× 1.2k 1.1× 379 0.9× 270 0.7× 345 1.0× 151 3.7k
S Tarui Japan 31 867 0.7× 756 0.7× 929 2.3× 506 1.3× 197 0.6× 126 3.4k
Henryk Zulewski Switzerland 27 1.3k 1.1× 1.1k 1.0× 1.6k 3.8× 635 1.7× 115 0.3× 64 3.4k
Giovanni Amato Italy 30 1.6k 1.4× 524 0.5× 336 0.8× 273 0.7× 72 0.2× 89 3.3k
Thomas Illig Germany 31 386 0.3× 806 0.7× 319 0.8× 436 1.1× 159 0.5× 56 3.3k
Raquel Largo Spain 38 355 0.3× 1.4k 1.3× 657 1.6× 238 0.6× 415 1.2× 130 4.9k
Keiji Tanimoto Japan 36 854 0.7× 2.2k 2.0× 499 1.2× 682 1.8× 146 0.4× 116 4.3k

Countries citing papers authored by Kok‐Onn Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kok‐Onn Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kok‐Onn Lee. 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 Kok‐Onn Lee. The network helps show where Kok‐Onn Lee may publish in the future.

Co-authorship network of co-authors of Kok‐Onn Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kok‐Onn Lee. A scholar is included among the top collaborators of Kok‐Onn Lee 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 Kok‐Onn Lee. Kok‐Onn Lee 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.
2.
Hu, Yun, Peng Zhang, Bo Ding, et al.. (2022). Response of blood glucose and GLP-1 to different food temperature in normal subject and patients with type 2 diabetes. Nutrition and Diabetes. 12(1). 28–28. 4 indexed citations
3.
Lau, Hwee Hui, Shu Uin Gan, Heiko Lickert, et al.. (2021). Charting the next century of insulin replacement with cell and gene therapies. Med. 2(10). 1138–1162. 3 indexed citations
4.
Lee, Kok‐Onn, Mamoru Sasaki, Shojiroh Morinaga, et al.. (2019). Pulmonary sclerosing pneumocytoma demonstrating intratumoral hematoma. Respiratory Medicine Case Reports. 28. 100870–100870. 3 indexed citations
5.
Li, Feng-fei, Honghong Zhu, Ting Li, et al.. (2017). Continuous Glucose Monitoring in Newly Diagnosed Type 2 Diabetes Patients Reveals a Potential Risk of Hypoglycemia in Older Men. Journal of Diabetes Research. 2017. 1–8. 13 indexed citations
6.
Oo, Min Zin, Junyun Lai, Shu Uin Gan, et al.. (2013). Defining the expression hierarchy of latent T-cell epitopes in Epstein-Barr virus infection with TCR-like antibodies. Scientific Reports. 3(1). 3232–3232. 18 indexed citations
7.
Su, Xiaofei, Liyuan Fu, Jin-dan Wu, et al.. (2011). Fulminant Type 1 Diabetes Mellitus: A Study of Nine Cases. Diabetes Technology & Therapeutics. 14(4). 325–329. 2 indexed citations
8.
Yoon, Hwan Su, H. J. Kim, Keon Hee Yoo, et al.. (2009). UNC13D is the predominant causative gene with recurrent splicing mutations in Korean patients with familial hemophagocytic lymphohistiocytosis. Haematologica. 95(4). 622–626. 41 indexed citations
9.
Lee, Kok‐Onn, et al.. (2007). Oral Hypoglycaemic Agents for Diabetes in Pregnancy – An Appraisal of theCurrent Evidence for Oral Anti-diabetic Drug Use in Pregnancy. Annals of the Academy of Medicine Singapore. 36(8). 672–678. 16 indexed citations
10.
11.
Lee, Kok‐Onn, et al.. (2003). Lean, nondiabetic Asian Indians have decreased insulin sensitivity and insulin clearance, and raised leptin compared to Caucasians and Chinese subjects. International Journal of Obesity. 27(7). 784–789. 84 indexed citations
12.
Li, Tao, Thanh Vu, Kok‐Onn Lee, et al.. (2002). An Imprinted PEG1/MEST Antisense Expressed Predominantly in Human Testis and in Mature Spermatozoa. Journal of Biological Chemistry. 277(16). 13518–13527. 47 indexed citations
13.
Lee, Kok‐Onn, et al.. (2000). A study of HLA-DR polymorphism in four physical constitution groups classified by Korean traditional medicine.. The Korean Journal of Internal Medicine. 58(1). 91–101. 3 indexed citations
14.
Goh, Victor Hng Hang & Kok‐Onn Lee. (1998). Does a Positive Oestrogen Feedback on the Hypothalamic-Pituitary Axis Exist Concurrently with a Defective Testosterone Feedback in Klinefelter’s Syndrome?. Hormone Research in Paediatrics. 50(3). 160–165. 2 indexed citations
15.
Yong, Eu‐Leong, Kok‐Onn Lee, S. C. Ng, & S. S. Ratnam. (1997). Induction of spermatogenesis in isolated hypogonadotrophic hypogonadism with gonadotrophins and early intervention with intracytoplasmic sperm injection. Human Reproduction. 12(6). 1230–1232. 19 indexed citations
16.
Zhou, Xueyong, et al.. (1997). Serum Insulin-Like Growth Factor-I (Igf-I) and Dehydroepiandrosterone-Sulphate (Dhea-S) in a Community Dwelling Elderly Population. Endocrinology and Metabolism. 4(5). 345. 2 indexed citations
17.
Tambyah, Paul Anantharajah, G Kumarasinghe, H. L. Chan, & Kok‐Onn Lee. (1997). Streptococcus suis Infection Complicated by Purpura Fulminans and Rhabdomyolysis: Case Report and Review. Clinical Infectious Diseases. 24(4). 710–712. 23 indexed citations
18.
Loke, Kah Yin, et al.. (1997). Efficacy and safety of one year of growth hormone therapy in steroid-dependent nephrotic syndrome. The Journal of Pediatrics. 130(5). 793–799. 10 indexed citations
19.
Lee, Kok‐Onn, et al.. (1995). Effect of growth hormone therapy in men with severe idiopathic oligozoospermia. European Journal of Endocrinology. 132(2). 159–162. 38 indexed citations
20.

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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