Yi-Ru Yu

1.7k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Yi-Ru Yu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Yi-Ru Yu has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Yi-Ru Yu's work include Immune cells in cancer (5 papers), Immune Cell Function and Interaction (4 papers) and Cancer Research and Treatments (2 papers). Yi-Ru Yu is often cited by papers focused on Immune cells in cancer (5 papers), Immune Cell Function and Interaction (4 papers) and Cancer Research and Treatments (2 papers). Yi-Ru Yu collaborates with scholars based in Switzerland, Taiwan and United States. Yi-Ru Yu's co-authors include Ping‐Chih Ho, Fabien Franco, Alison Jaccard, Pedro Romero, Zhengtao Xiao, Jason W. Locasale, Nicola Vannini, Camilla Jandus, Li Tang and Yi-Fan Jiang and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Yi-Ru Yu

13 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustion

2020 370 citations Yi-Ru Yu, Hana Imrichová et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yi-Ru Yu Switzerland	11	619	403	384	189	116	15	1.1k
Rohit R. Jadhav United States	19	544 0.9×	342 0.8×	439 1.1×	252 1.3×	90 0.8×	30	1.2k
Shingo Eikawa Japan	11	433 0.7×	443 1.1×	501 1.3×	174 0.9×	67 0.6×	21	987
Christa Pfeifhofer‐Obermair Austria	19	504 0.8×	295 0.7×	433 1.1×	196 1.0×	56 0.5×	31	1.1k
Petros A. Tyrakis United Kingdom	9	483 0.8×	299 0.7×	540 1.4×	430 2.3×	67 0.6×	11	1.2k
Nikolai Siebert Germany	17	215 0.3×	362 0.9×	362 0.9×	145 0.8×	88 0.8×	51	887
Étienne Humblin France	12	397 0.6×	197 0.5×	519 1.4×	213 1.1×	92 0.8×	16	979
Chiara Lavarello Italy	16	286 0.5×	251 0.6×	387 1.0×	124 0.7×	42 0.4×	30	872
Baoxiang Guan United States	13	335 0.5×	537 1.3×	588 1.5×	308 1.6×	47 0.4×	20	1.1k
Adele M. Nicolas Germany	7	251 0.4×	293 0.7×	333 0.9×	195 1.0×	61 0.5×	8	767
Haiting Mao China	17	368 0.6×	274 0.7×	290 0.8×	162 0.9×	58 0.5×	37	827

Countries citing papers authored by Yi-Ru Yu

Since Specialization

Citations

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

Fields of papers citing papers by Yi-Ru Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi-Ru Yu

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

All Works

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15 of 15 papers shown

Yu, Yi-Ru, et al.. (2025). 1205 PLT012, a humanized CD36-blocking antibody, induces durable anti-tumor immunity via immunometabolic reprogramming. Regular and Young Investigator Award Abstracts. A1371–A1371.

Yu, Yi-Ru, Sheue‐Fen Tzeng, Jaeoh Park, et al.. (2024). Abstract 2370: Revitalizing anti-tumor immunity through PLT012 monoclonal antibody, targeting CD36 for metabolic rewiring in the tumor microenvironment. Cancer Research. 84(6_Supplement). 2370–2370.

Girotra, Mukul, Mélanie Charmoy, Helen Carrasco Hope, et al.. (2023). Induction of mitochondrial recycling reverts age-associated decline of the hematopoietic and immune systems. Nature Aging. 3(9). 1057–1066. 38 indexed citations

Franco, Fabien, Alessio Bevilacqua, Kung‐Chi Kao, et al.. (2023). Regulatory circuits of mitophagy restrict distinct modes of cell death during memory CD8 ⁺ T cell formation. Science Immunology. 8(87). eadf7579–eadf7579. 22 indexed citations

Yu, Yi-Ru, Chin‐Hsien Tsai, Jaeoh Park, et al.. (2023). 1401 PLT012, a monoclonal antibody targeting CD36, unleashes anti-tumor immunity via metabolic reprogramming in tumor microenvironment. SHILAP Revista de lepidopterología. A1559–A1559. 1 indexed citations

Møller, Sofie Hedlund, Pei‐Chun Hsueh, Yi-Ru Yu, Lianjun Zhang, & Ping‐Chih Ho. (2022). Metabolic programs tailor T cell immunity in viral infection, cancer, and aging. Cell Metabolism. 34(3). 378–395. 85 indexed citations

Conza, Giusy Di, Héctor Gallart‐Ayala, Yi-Ru Yu, et al.. (2021). Tumor-induced reshuffling of lipid composition on the endoplasmic reticulum membrane sustains macrophage survival and pro-tumorigenic activity. Nature Immunology. 22(11). 1403–1415. 144 indexed citations

Ma, Min, Soumitra Ghosh, Daniele Tavernari, et al.. (2020). Sustained androgen receptor signaling is a determinant of melanoma cell growth potential and tumorigenesis. The Journal of Experimental Medicine. 218(2). 36 indexed citations

Yu, Yi-Ru, Hana Imrichová, Haiping Wang, et al.. (2020). Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustion. Nature Immunology. 21(12). 1540–1551. 370 indexed citations breakdown →

10.

Franco, Fabien, Alison Jaccard, Pedro Romero, Yi-Ru Yu, & Ping‐Chih Ho. (2020). Metabolic and epigenetic regulation of T-cell exhaustion. Nature Metabolism. 2(10). 1001–1012. 283 indexed citations

11.

Rath, Jan A., Gagan Bajwa, Benoît M. Carrères, et al.. (2020). Single-cell transcriptomics identifies multiple pathways underlying antitumor function of TCR- and CD8αβ-engineered human CD4 ⁺ T cells. Science Advances. 6(27). eaaz7809–eaaz7809. 23 indexed citations

12.

Krásný, Lukáš, Philip Bland, Jessica Burns, et al.. (2020). A mouse SWATH-MS reference spectral library enables deconvolution of species-specific proteomic alterations in human tumour xenografts. Disease Models & Mechanisms. 13(7). 13 indexed citations

13.

Yu, Yi-Ru, et al.. (2015). β-catenin activation drives thymoma initiation and progression in mice. Oncotarget. 6(16). 13978–13993. 7 indexed citations

14.

Yu, Yi-Ru, Li‐Ru You, Yu-Ting Yan, & Chun‐Ming Chen. (2014). Role of OVCA1/DPH1 in craniofacial abnormalities of Miller–Dieker syndrome. Human Molecular Genetics. 23(21). 5579–5596. 47 indexed citations

15.

Hsu, Wen‐Hsin, et al.. (2013). The Wilms’ tumor suppressor Wt1 regulates Coronin 1B expression in the epicardium. Experimental Cell Research. 319(10). 1365–1381. 10 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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