Yong Yu

1.8k total citations
33 papers, 1.1k citations indexed

About

Yong Yu is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Yong Yu has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 10 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Yong Yu's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (5 papers) and IL-33, ST2, and ILC Pathways (4 papers). Yong Yu is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (5 papers) and IL-33, ST2, and ILC Pathways (4 papers). Yong Yu collaborates with scholars based in China, United Kingdom and United States. Yong Yu's co-authors include Pentao Liu, Juexuan Wang, Simon Clare, Liming Lu, Shannon Burke, Neal G. Copeland, Nancy A. Jenkins, Andrew N. J. McKenzie, Gabrielle T. Belz and Gordon Dougan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yong Yu

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Yu China 13 591 430 317 134 102 33 1.1k
Susanna Mannisto Finland 13 135 0.2× 299 0.7× 220 0.7× 128 1.0× 55 0.5× 26 661
Muneer G. Hasham United States 16 317 0.5× 427 1.0× 83 0.3× 135 1.0× 103 1.0× 28 803
Diana R. Licence United Kingdom 10 312 0.5× 422 1.0× 54 0.2× 161 1.2× 98 1.0× 10 950
Jacqueline Arp Canada 11 368 0.6× 149 0.3× 193 0.6× 68 0.5× 46 0.5× 17 744
Howard R. Seay United States 14 951 1.6× 517 1.2× 193 0.6× 316 2.4× 290 2.8× 17 1.6k
Ignatius Gomes United States 14 147 0.2× 613 1.4× 165 0.5× 62 0.5× 68 0.7× 15 903
Christine Goetz United States 11 671 1.1× 153 0.4× 66 0.2× 206 1.5× 76 0.7× 19 990
Zhuoru Liu United States 19 929 1.6× 116 0.3× 181 0.6× 113 0.8× 60 0.6× 25 1.2k
Nakayuki Honma Japan 14 366 0.6× 207 0.5× 75 0.2× 125 0.9× 51 0.5× 19 622
Saiphone Webb United States 12 170 0.3× 444 1.0× 64 0.2× 90 0.7× 66 0.6× 16 703

Countries citing papers authored by Yong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Yu. A scholar is included among the top collaborators of Yong 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 Yong Yu. Yong 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.
Wang, Jing, Rui Guo, Li Zhang, et al.. (2025). Bcl11a maintains hematopoietic stem cell function but accelerates inflammation-driven exhaustion during aging. Science Immunology. 10(106). eadr2041–eadr2041. 4 indexed citations
2.
Liu, Xiaoxue, Yongbo Wang, Fang Wang, et al.. (2025). Estimated disability weights for the severity of health outcomes: a systematic review and meta-analysis. Population Health Metrics. 23(1). 62–62.
3.
Liu, Xingjie, Jing Wang, Yi Yang, et al.. (2025). The transcription factor Bcl11a is essential for B-1a cell maintenance during aging. Proceedings of the National Academy of Sciences. 122(27). e2501974122–e2501974122. 1 indexed citations
4.
Chang, Hong, Mingxia Li, Linlin Zhang, et al.. (2024). Loss of histone deubiquitinase Bap1 triggers anti-tumor immunity. Cellular Oncology. 48(1). 183–203. 3 indexed citations
5.
Cui, Minghua, Quanzhu Chen, Nan Wang, et al.. (2024). Single Nucleotide Polymorphism. PubMed. 12(8). 927–927.
6.
Lu, Wei, Shi Cheng, Jiarui Xu, et al.. (2024). Roles of AhR/CYP1s signaling pathway mediated ROS production in uremic cardiomyopathy. Toxicology Letters. 396. 81–93. 3 indexed citations
7.
Xu, Yue, et al.. (2023). A transient wave of Bhlhe41+ resident macrophages enables remodeling of the developing infarcted myocardium. Cell Reports. 42(10). 113174–113174. 28 indexed citations
8.
Jin, Jiarui, et al.. (2022). Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. Proceedings of the ACM Web Conference 2022. 3206–3216. 1 indexed citations
9.
Xu, Yue, Kai Jiang, Feng Chen, et al.. (2022). Bone marrow-derived naïve B lymphocytes improve heart function after myocardial infarction: a novel cardioprotective mechanism for empagliflozin. Basic Research in Cardiology. 117(1). 47–47. 28 indexed citations
10.
Zhang, Wensheng, Constantinos Chronis, Xi Chen, et al.. (2019). The BAF and PRC2 Complex Subunits Dpf2 and Eed Antagonistically Converge on Tbx3 to Control ESC Differentiation. Cell stem cell. 24(1). 138–152.e8. 32 indexed citations
11.
Yu, Yong, et al.. (2019). Development and Validation of a Nomogram for Predicting Survival in Patients with Thyroid Cancer. Medical Science Monitor. 25. 5561–5571. 10 indexed citations
12.
Li, Han, Qian Li, Su Liu, et al.. (2017). Peripheral blood absolute lymphocyte count, absolute monocyte count and their ratio in prognosis prediction of newly diagnosed multiple myeloma. Tumori. 37(8). 865–872. 1 indexed citations
13.
Yu, Yong, Jason C.H. Tsang, Cui Wang, et al.. (2016). Single-cell RNA-seq identifies a PD-1hi ILC progenitor and defines its development pathway. Nature. 539(7627). 102–106. 233 indexed citations
14.
Tsang, Jason C.H., Yong Yu, Shannon Burke, et al.. (2015). Single-cell transcriptomic reconstruction reveals cell cycle and multi-lineage differentiation defects in Bcl11a-deficient hematopoietic stem cells. Genome biology. 16(1). 178–178. 82 indexed citations
15.
Walker, Jennifer A., Yong Yu, Simon Clare, et al.. (2015). Bcl11b is essential for group 2 innate lymphoid cell development. The Journal of Experimental Medicine. 212(6). 875–882. 127 indexed citations
16.
Yu, Yong, Cui Wang, Simon Clare, et al.. (2015). The transcription factor Bcl11b is specifically expressed in group 2 innate lymphoid cells and is essential for their development. The Journal of Experimental Medicine. 212(6). 865–874. 129 indexed citations
17.
Yu, Yong, Juexuan Wang, Walid T. Khaled, et al.. (2012). Bcl11a is essential for lymphoid development and negatively regulates p53. The Journal of Cell Biology. 199(7). i10–i10. 3 indexed citations
18.
Yu, Yong, Juexuan Wang, Walid T. Khaled, et al.. (2012). Bcl11a is essential for lymphoid development and negatively regulates p53. The Journal of Experimental Medicine. 209(13). 2467–2483. 158 indexed citations
19.
Yu, Yong, et al.. (2010). [Construction of siRNA lentiviral expressing vector targeting pleiotrophin gene and its impact on growth and apoptosis in H446 cells of human small cell lung cancer].. PubMed. 33(4). 289–94. 2 indexed citations
20.
Yu, Yong. (2003). Ets1 as a marker of malignant potential in gastric carcinoma. World Journal of Gastroenterology. 9(10). 2154–2154. 25 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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