John Yu

8.8k total citations · 2 hit papers
161 papers, 6.9k citations indexed

About

John Yu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, John Yu has authored 161 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Molecular Biology, 24 papers in Oncology and 23 papers in Immunology. Recurrent topics in John Yu's work include Erythrocyte Function and Pathophysiology (18 papers), Glycosylation and Glycoproteins Research (18 papers) and Epigenetics and DNA Methylation (11 papers). John Yu is often cited by papers focused on Erythrocyte Function and Pathophysiology (18 papers), Glycosylation and Glycoproteins Research (18 papers) and Epigenetics and DNA Methylation (11 papers). John Yu collaborates with scholars based in United States, Taiwan and China. John Yu's co-authors include Theodore L. Steck, Alice L. Yu, Donald A. Fischman, Li‐En Shao, Tung‐Tien Sun, Xue‐Ru Wu, Joan Vaughan, Sheng‐Hung Wang, Steven R. Goodman and Jung‐Tung Hung and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

John Yu

157 papers receiving 6.6k citations

Hit Papers

Selective solubilization of proteins and phospholipids fr... 1973 2026 1990 2008 1973 1973 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
John Yu United States 43 4.4k 1.2k 879 819 802 161 6.9k
Werner Müller‐Esterl Germany 55 3.6k 0.8× 1.3k 1.0× 1.0k 1.2× 558 0.7× 616 0.8× 185 10.6k
Christer Wernstedt Sweden 45 6.1k 1.4× 1.6k 1.3× 1.5k 1.7× 1.2k 1.5× 995 1.2× 85 9.5k
Paul H. Weinreb United States 44 3.4k 0.8× 1.3k 1.1× 950 1.1× 465 0.6× 653 0.8× 78 7.8k
Kazuo Nagashima Japan 50 3.3k 0.7× 651 0.5× 2.4k 2.7× 812 1.0× 1.0k 1.3× 300 9.0k
Douglas J. Taatjes United States 46 2.4k 0.5× 727 0.6× 381 0.4× 524 0.6× 806 1.0× 181 5.8k
Ann B. Kier United States 45 6.1k 1.4× 970 0.8× 1.6k 1.8× 1.5k 1.8× 979 1.2× 157 9.7k
Raija Sormunen Finland 50 5.3k 1.2× 648 0.5× 891 1.0× 879 1.1× 1.0k 1.3× 177 9.0k
Daniela Malide United States 35 2.9k 0.7× 927 0.7× 783 0.9× 782 1.0× 727 0.9× 67 6.8k
Luisa Lanfrancone Italy 38 4.9k 1.1× 894 0.7× 1.6k 1.8× 485 0.6× 839 1.0× 95 7.8k
Peter J. Sims United States 50 4.6k 1.0× 1.4k 1.2× 557 0.6× 880 1.1× 844 1.1× 98 9.4k

Countries citing papers authored by John Yu

Since Specialization
Citations

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

Fields of papers citing papers by John Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Yu

This figure shows the co-authorship network connecting the top 25 collaborators of John Yu. A scholar is included among the top collaborators of John Yu 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 John Yu. John Yu 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.
Tsai, Hsiu‐Hui, Fu‐Chih Hsiao, Alice L. Yu, et al.. (2025). Empagliflozin Reduces High Glucose-Induced Cardiomyopathy in hiPSC-Derived Cardiomyocytes. Stem Cell Reviews and Reports. 21(3). 849–858.
2.
Lin, Ruey‐Jen, Yahui Wang, Yenlin Huang, et al.. (2023). The interplay between IGF-1R signaling and Hippo-YAP in breast cancer stem cells. Cell Communication and Signaling. 21(1). 81–81. 11 indexed citations
3.
Wang, Minxian, Vivian S. Lee, Deepak Atri, et al.. (2021). Rare, Damaging DNA Variants in CORIN and Risk of Coronary Artery Disease: Insights From Functional Genomics and Large-Scale Sequencing Analyses. Circulation Genomic and Precision Medicine. 14(5). e003399–e003399. 9 indexed citations
4.
Tseng, Yi‐Hsin, Yu‐Chi Chen, Alice L. Yu, & John Yu. (2021). Benzo[a]pyrene induces fibrotic changes and impairs differentiation in lung stem cells. Ecotoxicology and Environmental Safety. 210. 111892–111892. 16 indexed citations
5.
Lin, Wender, Tan‐Chi Fan, Jung‐Tung Hung, et al.. (2020). Sialylation of CD55 by ST3GAL1 Facilitates Immune Evasion in Cancer. Cancer Immunology Research. 9(1). 113–122. 34 indexed citations
6.
Yeo, Hui Ling, Tan‐Chi Fan, Ruey‐Jen Lin, et al.. (2018). Sialylation of vasorin by ST3Gal1 facilitates TGF‐β1‐mediated tumor angiogenesis and progression. International Journal of Cancer. 144(8). 1996–2007. 56 indexed citations
7.
Wang, Sheng‐Hung, I‐Ju Chen, Han‐Chung Wu, et al.. (2016). Structure-based optimization of GRP78-binding peptides that enhances efficacy in cancer imaging and therapy. Biomaterials. 94. 31–44. 37 indexed citations
8.
Yu, John. (2015). Harnessing novel biomarkers of human embryonic stem cells for cancer diagnosis and therapy. 1 indexed citations
9.
Cheng, Jing‐Yan, Sheng‐Hung Wang, Yi-Chien Tsai, et al.. (2014). Globo-H Ceramide Shed from Cancer Cells Triggers Translin-Associated Factor X-Dependent Angiogenesis. Cancer Research. 74(23). 6856–6866. 49 indexed citations
10.
Chen, Yihui & John Yu. (2014). Epigenetic Disruptions of Histone Signatures for the Trophectoderm and Inner Cell Mass in Mouse Parthenogenetic Embryos. Stem Cells and Development. 24(5). 550–564. 6 indexed citations
11.
Lai, Chao-Yang, et al.. (2011). Identification of Tumorigenic Cells in KrasG12D -Induced Lung Adenocarcinoma. Cancer Research. 71(23). 7250–7258. 28 indexed citations
12.
Lin, Yuping, Yaling Chen, Yi‐Ching Lee, et al.. (2011). Interplay between SIN3A and STAT3 Mediates Chromatin Conformational Changes and GFAP Expression during Cellular Differentiation. PLoS ONE. 6(7). e22018–e22018. 49 indexed citations
13.
Lin, You-Chin, Li‐Ching Hsieh, John Yu, et al.. (2007). Human TRIM71 and Its Nematode Homologue Are Targets of let-7 MicroRNA and Its Zebrafish Orthologue Is Essential for Development. Molecular Biology and Evolution. 24(11). 2525–2534. 72 indexed citations
14.
Dolter, K E, et al.. (1998). Analysis of activin A gene expression in human bone marrow stromal cells. Journal of Cellular Biochemistry. 70(1). 8–21. 12 indexed citations
15.
Yu, John & K E Dolter. (1997). Production of activin A and its roles in inflammation and hematopoiesis.. PubMed. 3(3). 169–77. 58 indexed citations
17.
Dialynas, Deno P., et al.. (1997). Characterization of a New Human Macrophage Cell Line 2MAC. Cellular Immunology. 177(2). 182–193. 4 indexed citations
18.
Yu, John, Li‐En Shao, Normand L. Frigon, et al.. (1991). Specific Roles of Activin/Inhibin in Human Erythropoiesis in Vitroa. Annals of the New York Academy of Sciences. 628(1). 199–211. 12 indexed citations
19.
Yu, John, et al.. (1989). Induction of erythroid differentiation in K562 cells by inhibitors of inosine monophosphate dehydrogenase.. PubMed. 49(20). 5555–60. 48 indexed citations
20.
Yu, John, Arnljot Elgsaeter, & Daniel Branton. (1977). Intramembrane particle aggregation in erythrocyte membranes and band 3-lipid recombinants.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 17. 453–8. 1 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

Rankless by CCL
2026