Ji-Won Yoon

818 total citations
13 papers, 653 citations indexed

About

Ji-Won Yoon is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ji-Won Yoon has authored 13 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Genetics and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ji-Won Yoon's work include Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (7 papers) and Diabetes Management and Research (5 papers). Ji-Won Yoon is often cited by papers focused on Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (7 papers) and Diabetes Management and Research (5 papers). Ji-Won Yoon collaborates with scholars based in United States, Canada and South Korea. Ji-Won Yoon's co-authors include Hee‐Sook Jun, Hyokjoon Kwon, Robert S. Sherwin, Yup Kang, Kwang Ho Pyun, Qi Huang, Kensuke Hirasawa, Hye-Won Lim, Li Zhang and Noriaki Tanaka and has published in prestigious journals such as Science, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

Ji-Won Yoon

13 papers receiving 632 citations

Peers

Ji-Won Yoon
Judith Kraiczy United Kingdom
Wen Shi China
Yijun Wu China
E. Ohayon France
Amblessed Onuma United States
Marilyne Coulombe United States
Ji-Won Yoon
Citations per year, relative to Ji-Won Yoon Ji-Won Yoon (= 1×) peers Lisa Moberg

Countries citing papers authored by Ji-Won Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Won Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Won Yoon. 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 Ji-Won Yoon. The network helps show where Ji-Won Yoon may publish in the future.

Co-authorship network of co-authors of Ji-Won Yoon

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

All Works

13 of 13 papers shown
1.
Yoon, Ji-Won, et al.. (2010). Comparison of Cardiovascular Health Status and Health Behaviors in Korean Women based on Household Income. Journal of Korean Academy of Nursing. 40(6). 831–831. 8 indexed citations
2.
Yoon, Ji-Won, et al.. (2010). Trends in Research on Children with Cancer and Their Families in Korea. Journal of Korean Academy of Child Health Nursing. 16(1). 73–73. 11 indexed citations
3.
Han, Jaeseok, et al.. (2007). Engineered Enteroendocrine Cells Secrete Insulin in Response to Glucose and Reverse Hyperglycemia in Diabetic Mice. Molecular Therapy. 15(6). 1195–1202. 23 indexed citations
4.
Soto–Gutiérrez, Alejandro, Naoya Kobayashi, Jorge David Rivas‐Carrillo, et al.. (2006). Reversal of mouse hepatic failure using an implanted liver-assist device containing ES cell–derived hepatocytes. Nature Biotechnology. 24(11). 1412–1419. 167 indexed citations
5.
Kobayashi, Naoya, Yoshihito Tanaka, Shuhei Nakaji, et al.. (2006). A Newly Developed Bioartificial Pancreas Successfully Controls Blood Glucose in Totally Pancreatectomized Diabetic Pigs. Tissue Engineering. 12(7). 1799–1809. 23 indexed citations
6.
Kwon, Hyokjoon, et al.. (2005). IL-18 Induces Monocyte Chemotactic Protein-1 Production in Macrophages through the Phosphatidylinositol 3-Kinase/Akt and MEK/ERK1/2 Pathways. The Journal of Immunology. 175(12). 8280–8286. 81 indexed citations
7.
Kwon, Hyokjoon, Hee‐Sook Jun, Yang Yang, et al.. (2004). Development of autoreactive diabetogenic T cells in the thymus of NOD mice. Journal of Autoimmunity. 24(1). 11–23. 13 indexed citations
8.
Okitsu, Teru, Naoya Kobayashi, Hee‐Sook Jun, et al.. (2004). Transplantation of Reversibly Immortalized Insulin-Secreting Human Hepatocytes Controls Diabetes in Pancreatectomized Pigs. Diabetes. 53(1). 105–112. 37 indexed citations
9.
Kwon, Hyokjoon, Hee‐Sook Jun, Lee‐Yong Khil, & Ji-Won Yoon. (2004). Role of CTLA-4 in the Activation of Single- and Double-Positive Thymocytes. The Journal of Immunology. 173(11). 6645–6653. 15 indexed citations
10.
Yang, Yang, Aito Ueno, Min Bao, et al.. (2003). Control of NKT Cell Differentiation by Tissue-Specific Microenvironments. The Journal of Immunology. 171(11). 5913–5920. 39 indexed citations
11.
Lee, Minhyung, Sang‐oh Han, Kyung Soo Ko, et al.. (2001). Repression of GAD Autoantigen Expression in Pancreas β-Cells by Delivery of Antisense Plasmid/PEG-g-PLL Complex. Molecular Therapy. 4(4). 339–346. 22 indexed citations
12.
Yoon, Ji-Won, Robert S. Sherwin, Hyokjoon Kwon, & Hee‐Sook Jun. (2000). Has GAD a Central Role in Type 1 Diabetes?. Journal of Autoimmunity. 15(3). 273–278. 11 indexed citations
13.
Yoon, Ji-Won, Hye-Won Lim, Qi Huang, et al.. (1999). Control of Autoimmune Diabetes in NOD Mice by GAD Expression or Suppression in β Cells. Science. 284(5417). 1183–1187. 203 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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