C.Y. Yang

424 total citations
11 papers, 332 citations indexed

About

C.Y. Yang is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, C.Y. Yang has authored 11 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in C.Y. Yang's work include Peroxisome Proliferator-Activated Receptors (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Machine Learning in Bioinformatics (2 papers). C.Y. Yang is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Machine Learning in Bioinformatics (2 papers). C.Y. Yang collaborates with scholars based in United States, Taiwan and Canada. C.Y. Yang's co-authors include Antonio M. Gotto, Henry J. Pownall, A M Gotto, Quein Pao, Roger D. Knapp, Zhongwei Gu, Michael F. Rohde, Wen‐Chin Yang, Sailen Mookerjea and Joseph T. Francis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Oncogene.

In The Last Decade

C.Y. Yang

11 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.Y. Yang United States 10 172 133 77 63 61 11 332
Victoria R. Cook United States 12 221 1.3× 199 1.5× 196 2.5× 57 0.9× 125 2.0× 14 518
I. Aiza Haddad United States 3 176 1.0× 174 1.3× 150 1.9× 27 0.4× 49 0.8× 4 367
Detra D. Johnson United States 5 296 1.7× 242 1.8× 192 2.5× 53 0.8× 73 1.2× 8 612
Daniel LaSala United States 11 202 1.2× 58 0.4× 126 1.6× 50 0.8× 23 0.4× 17 454
Maryvonne Moisant France 8 208 1.2× 156 1.2× 25 0.3× 24 0.4× 66 1.1× 11 372
Line M. Grønning-Wang Norway 9 330 1.9× 92 0.7× 37 0.5× 48 0.8× 56 0.9× 10 449
Gipsy Majumdar United States 13 373 2.2× 70 0.5× 34 0.4× 51 0.8× 24 0.4× 16 511
Xiaohu Mei United States 12 358 2.1× 213 1.6× 184 2.4× 25 0.4× 48 0.8× 16 534
Ellen B. Gilliam United States 8 193 1.1× 109 0.8× 150 1.9× 12 0.2× 57 0.9× 16 381

Countries citing papers authored by C.Y. Yang

Since Specialization
Citations

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

Fields of papers citing papers by C.Y. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.Y. Yang. 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 C.Y. Yang. The network helps show where C.Y. Yang may publish in the future.

Co-authorship network of co-authors of C.Y. Yang

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

All Works

11 of 11 papers shown
1.
Yang, C.Y., Tien‐Fen Kuo, Cicero Lee‐Tian Chang, et al.. (2022). Protein disulfide isomerase a4 promotes lung cancer development via the Stat3 pathway in stromal cells. Clinical and Translational Medicine. 12(2). e606–e606. 12 indexed citations
2.
Kuo, Tien‐Fen, Cicero Lee‐Tian Chang, Si‐Tse Jiang, et al.. (2021). Pdia4 regulates β‐cell pathogenesis in diabetes: molecular mechanism and targeted therapy. EMBO Molecular Medicine. 13(10). e11668–e11668. 13 indexed citations
3.
Chen, Tsung‐Ying, Si‐Tse Jiang, Yujuan Liu, et al.. (2017). Protein disulfide isomerase a4 acts as a novel regulator of cancer growth through the procaspase pathway. Oncogene. 36(39). 5484–5496. 37 indexed citations
5.
Mookerjea, Sailen, et al.. (1994). Rat C-reactive protein causes a charge modification of LDL and stimulates its degradation by macrophages.. Arteriosclerosis and Thrombosis A Journal of Vascular Biology. 14(2). 282–287. 15 indexed citations
6.
Yang, C.Y., et al.. (1993). Human very low density lipoprotein structure: interaction of the C apolipoproteins with apolipoprotein B-100. Journal of Lipid Research. 34(8). 1311–1321. 15 indexed citations
7.
Sparrow, Doris A., P M Laplaud, Dominique Bauchart, et al.. (1992). Plasma lipid transport in the preruminant calf, Bos spp: Primary structure of bovine apolipoprotein A-I. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1123(2). 145–150. 10 indexed citations
8.
Yang, C.Y., et al.. (1991). Amino acid sequence of rabbit apolipoprotein E.. Journal of Lipid Research. 32(1). 165–171. 12 indexed citations
9.
Yang, C.Y., et al.. (1990). Isolation and characterization of sulfhydryl and disulfide peptides of human apolipoprotein B-100.. Proceedings of the National Academy of Sciences. 87(14). 5523–5527. 80 indexed citations
10.
Yang, C.Y., et al.. (1989). Structure of bovine milk lipoprotein lipase. Journal of Biological Chemistry. 264(28). 16822–16827. 52 indexed citations
11.
Yang, C.Y., et al.. (1987). Lecithin:cholesterol acyltransferase. Functional regions and a structural model of the enzyme.. Journal of Biological Chemistry. 262(7). 3086–3091. 85 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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