Yu‐Chi Lee

1.0k total citations
16 papers, 650 citations indexed

About

Yu‐Chi Lee is a scholar working on Immunology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yu‐Chi Lee has authored 16 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Surgery and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yu‐Chi Lee's work include Immunotherapy and Immune Responses (4 papers), Genetic Associations and Epidemiology (3 papers) and Diet, Metabolism, and Disease (3 papers). Yu‐Chi Lee is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Genetic Associations and Epidemiology (3 papers) and Diet, Metabolism, and Disease (3 papers). Yu‐Chi Lee collaborates with scholars based in United States, Spain and Germany. Yu‐Chi Lee's co-authors include José M. Ordovás, Chao‐Qiang Lai, Laurence D. Parnell, Donna K. Arnett, Michael Y. Tsai, Marta Garaulet, Jian Shen, Caren E. Smith, Randolph J. Noelle and Edmond K. Kabagambe and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Yu‐Chi Lee

15 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu‐Chi Lee United States	12	194	172	146	123	114	16	650
Esther Dos Santos France	18	185 1.0×	264 1.5×	88 0.6×	200 1.6×	102 0.9×	33	1.1k
Mariusz Kuźmicki Poland	18	162 0.8×	188 1.1×	46 0.3×	132 1.1×	42 0.4×	43	982
Bénazir Siddeek France	18	99 0.5×	65 0.4×	130 0.9×	414 3.4×	28 0.2×	30	1.1k
Caterina Chiappetta Italy	18	113 0.6×	60 0.3×	165 1.1×	304 2.5×	31 0.3×	37	874
Michèle Caüzac France	16	232 1.2×	61 0.4×	72 0.5×	231 1.9×	293 2.6×	26	941
Fabienne T. Schulthess United States	7	127 0.7×	135 0.8×	181 1.2×	156 1.3×	37 0.3×	8	601
Wing Yan So Hong Kong	17	160 0.8×	58 0.3×	115 0.8×	384 3.1×	31 0.3×	23	750
Amena Archer Sweden	15	101 0.5×	55 0.3×	142 1.0×	245 2.0×	18 0.2×	27	597
Rajkumar Dorajoo Singapore	15	219 1.1×	26 0.2×	387 2.7×	259 2.1×	56 0.5×	48	861
Ching-Chyuan Hsieh United States	13	191 1.0×	93 0.5×	34 0.2×	369 3.0×	50 0.4×	15	666

Countries citing papers authored by Yu‐Chi Lee

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Chi Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Chi Lee

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Zúñiga, Luis, Karan Uppal, Enping Hong, et al.. (2021). 769 A single dose of intratumoral TransCon™ TLR7/8 agonist monotherapy promoted sustained activation of antigen presenting cells resulting in CD4+ and CD8+ T cell activation and tumor growth inhibition. SHILAP Revista de lepidopterología. A804–A804.

Liu, Yuwei, Caren E. Smith, Laurence D. Parnell, et al.. (2020). Salivary AMY1 Copy Number Variation Modifies Age-Related Type 2 Diabetes Risk. Clinical Chemistry. 66(5). 718–726. 9 indexed citations

Bauché, David, Barbara Joyce-Shaikh, Alejandro V. Villarino, et al.. (2020). IL-23 and IL-2 activation of STAT5 is required for optimal IL-22 production in ILC3s during colitis. Science Immunology. 5(46). 42 indexed citations

Deng, Jie, Jiannan Li, Aurélien Sarde, et al.. (2019). Hypoxia-Induced VISTA Promotes the Suppressive Function of Myeloid-Derived Suppressor Cells in the Tumor Microenvironment. Cancer Immunology Research. 7(7). 1079–1090. 164 indexed citations

Thangavelu, Govindarajan, Yu‐Chi Lee, Michaël Loschi, et al.. (2019). Dendritic Cell Expression of Retinal Aldehyde Dehydrogenase-2 Controls Graft-versus-Host Disease Lethality. The Journal of Immunology. 202(9). 2795–2805. 11 indexed citations

Lee, Yu‐Chi, Jiannan Li, Jie Deng, & Randolph J. Noelle. (2016). Lineage-specific ablation of retinoic acid synthesis impacts on the development of gut-tropic regulatory T cells and oral tolerance. The Journal of Immunology. 196(1_Supplement). 207.17–207.17. 1 indexed citations

Barnett, Junaidah B., Dayong Wu, Garry J. Handelman, et al.. (2015). Cardio-metabolic and immunological impacts of extra virgin olive oil consumption in overweight and obese older adults: a randomized controlled trial. Nutrition & Metabolism. 12(1). 28–28. 34 indexed citations

Barnett, Junaidah B., Dayong Wu, Garry J. Handelman, et al.. (2015). Cardiometabolic and Immunological Impacts of Extra Virgin Olive Oil Consumption in Overweight and Obese Older Adults: A Randomized Controlled Trial. The FASEB Journal. 29(S1). 3 indexed citations

Klemm, Otto, Tarek S. El‐Madany, Po‐Hsiung Lin, et al.. (2015). Chemical Composition of Fog Water at Four Sites in Taiwan. Aerosol and Air Quality Research. 16(3). 618–631. 26 indexed citations

10.

Guo, Yanxia, Yu‐Chi Lee, Chrysothemis C. Brown, et al.. (2014). Dissecting the Role of Retinoic Acid Receptor Isoforms in the CD8 Response to Infection. The Journal of Immunology. 192(7). 3336–3344. 14 indexed citations

11.

Garaulet, Marta, et al.. (2011). PPARγ Pro12Ala interacts with fat intake for obesity and weight loss in a behavioural treatment based on the Mediterranean diet. Molecular Nutrition & Food Research. 55(12). 1771–1779. 58 indexed citations

12.

Corella, Dolores, Donna K. Arnett, Katherine L. Tucker, et al.. (2011). A High Intake of Saturated Fatty Acids Strengthens the Association between the Fat Mass and Obesity-Associated Gene and BMI. Journal of Nutrition. 141(12). 2219–2225. 95 indexed citations

13.

Junyent, Mireia, Laurence D. Parnell, Chao‐Qiang Lai, et al.. (2009). Novel variants at KCTD10, MVK, and MMAB genes interact with dietary carbohydrates to modulate HDL-cholesterol concentrations in the Genetics of Lipid Lowering Drugs and Diet Network Study. American Journal of Clinical Nutrition. 90(3). 686–694. 28 indexed citations

14.

Junyent, Mireia, Donna K. Arnett, Michael Y. Tsai, et al.. (2009). Genetic Variants at the PDZ-Interacting Domain of the Scavenger Receptor Class B Type I Interact with Diet to Influence the Risk of Metabolic Syndrome in Obese Men and Women. Journal of Nutrition. 139(5). 842–848. 16 indexed citations

15.

Smith, Caren E., Katherine L. Tucker, Tammy Scott, et al.. (2009). Apolipoprotein C3 Polymorphisms, Cognitive Function and Diabetes in Caribbean Origin Hispanics. PLoS ONE. 4(5). e5465–e5465. 17 indexed citations

16.

Garaulet, Marta, Yu‐Chi Lee, Jian Shen, et al.. (2009). CLOCK genetic variation and metabolic syndrome risk: modulation by monounsaturated fatty acids. American Journal of Clinical Nutrition. 90(6). 1466–1475. 132 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.

Explore authors with similar magnitude of impact