Young Lee

1.4k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Young Lee is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Epidemiology. According to data from OpenAlex, Young Lee has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrine and Autonomic Systems, 5 papers in Nutrition and Dietetics and 4 papers in Epidemiology. Recurrent topics in Young Lee's work include Regulation of Appetite and Obesity (7 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Young Lee is often cited by papers focused on Regulation of Appetite and Obesity (7 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Young Lee collaborates with scholars based in United States. Young Lee's co-authors include Roger H. Unger, Christopher B. Newgard, Kazunori Koyama, Guoxun Chen, May-Yun Wang, Michio Shimabukuro, Yan-Ting Zhou, Tetsuya Kakuma, Yuan Xue and Robert M. O’Doherty and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Young Lee

9 papers receiving 1.1k citations

Hit Papers

Direct antidiabetic effect of leptin through triglyceride... 1997 2026 2006 2016 1997 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Lee United States 7 750 684 509 412 183 9 1.2k
Jiali Wang United States 8 663 0.9× 545 0.8× 370 0.7× 370 0.9× 251 1.4× 11 1.1k
Airu S. Chen United States 7 531 0.7× 428 0.6× 403 0.8× 361 0.9× 325 1.8× 8 1.1k
Philippe Cammisotto Canada 15 391 0.5× 311 0.5× 261 0.5× 254 0.6× 143 0.8× 30 808
Nilda Gallardo Spain 17 303 0.4× 391 0.6× 310 0.6× 170 0.4× 207 1.1× 37 820
N. Moustaïd United States 16 182 0.2× 538 0.8× 300 0.6× 176 0.4× 507 2.8× 20 1.3k
Sophie Turban France 18 207 0.3× 555 0.8× 306 0.6× 85 0.2× 552 3.0× 25 1.3k
Hideyuki Sone Japan 12 399 0.5× 302 0.4× 58 0.1× 283 0.7× 171 0.9× 32 748
Otho E. Michaelis United States 21 147 0.2× 523 0.8× 248 0.5× 191 0.5× 233 1.3× 58 1.2k
Todd M. Suter United States 9 242 0.3× 283 0.4× 187 0.4× 101 0.2× 258 1.4× 12 740
Wayne Stevens United States 12 172 0.2× 267 0.4× 231 0.5× 125 0.3× 102 0.6× 19 688

Countries citing papers authored by Young Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Lee

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

All Works

9 of 9 papers shown
1.
Lee, Young, et al.. (2020). Effects of Acupuncture & Qigong Meditation on Nonmotor Symptoms of Parkinson’s Disease. SHILAP Revista de lepidopterología. 37(4). 247–253. 3 indexed citations
2.
Mani, Bharath K., Aki Uchida, Young Lee, et al.. (2017). Hypoglycemic Effect of Combined Ghrelin and Glucagon Receptor Blockade. Diabetes. 66(7). 1847–1857. 28 indexed citations
3.
Park, Byung‐Hyun, May-Yun Wang, Young Lee, et al.. (2006). Combined Leptin Actions on Adipose Tissue and Hypothalamus Are Required to Deplete Adipocyte Fat in Lean Rats. Journal of Biological Chemistry. 281(52). 40283–40291. 18 indexed citations
4.
Lee, Young, et al.. (2002). A Preliminary Study of Developing the Rating Scale for Creative Characteristics of Preschoolers. Family and environment research. 40(6). 85–97. 2 indexed citations
5.
Pan, Wentong, et al.. (2001). The role of leptin resistance in the lipid abnormalities of aging. The FASEB Journal. 15(1). 108–114. 124 indexed citations
6.
Wang, Zhuowei, Yan-Ting Zhou, Tetsuya Kakuma, et al.. (2000). Leptin Resistance of Adipocytes in Obesity: Role of Suppressors of Cytokine Signaling. Biochemical and Biophysical Research Communications. 277(1). 20–26. 73 indexed citations
7.
Wang, Zhuo-Wei, Yan-Ting Zhou, Tetsuya Kakuma, et al.. (1999). Comparing the hypothalamic and extrahypothalamic actions of endogenous hyperleptinemia. Proceedings of the National Academy of Sciences. 96(18). 10373–10378. 73 indexed citations
8.
Shimabukuro, Michio, Kazunori Koyama, Guoxun Chen, et al.. (1997). Direct antidiabetic effect of leptin through triglyceride depletion of tissues. Proceedings of the National Academy of Sciences. 94(9). 4637–4641. 567 indexed citations breakdown →
9.
Chen, Guoxun, Kazunori Koyama, Yuan Xue, et al.. (1996). Disappearance of body fat in normal rats induced by adenovirus-mediated leptin gene therapy. Proceedings of the National Academy of Sciences. 93(25). 14795–14799. 272 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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