Yuning Lu

1.3k total citations
38 papers, 910 citations indexed

About

Yuning Lu is a scholar working on Immunology, Molecular Biology and Neurology. According to data from OpenAlex, Yuning Lu has authored 38 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 12 papers in Molecular Biology and 10 papers in Neurology. Recurrent topics in Yuning Lu's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Cell Adhesion Molecules Research (5 papers). Yuning Lu is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Cell Adhesion Molecules Research (5 papers). Yuning Lu collaborates with scholars based in United Kingdom, United States and China. Yuning Lu's co-authors include Christopher E. Rudd, Xin Smith, Anthony D. Whetton, Helga Schneider, Andrew Pierce, Jiou Wang, Monika Raab, Klaus Strebhardt, Goran Periz and Hebin Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Yuning Lu

36 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuning Lu United Kingdom 19 390 337 121 117 116 38 910
Takamasa Oono Japan 18 380 1.0× 256 0.8× 92 0.8× 174 1.5× 355 3.1× 63 1.1k
Marı́a J. Calzada Spain 20 268 0.7× 625 1.9× 155 1.3× 67 0.6× 137 1.2× 34 1.2k
Chisato Tanaka Japan 12 137 0.4× 197 0.6× 85 0.7× 176 1.5× 149 1.3× 19 637
Cyrill Géraud Germany 21 342 0.9× 476 1.4× 61 0.5× 280 2.4× 252 2.2× 73 1.4k
Manuel Pérez‐Martínez Spain 13 325 0.8× 494 1.5× 87 0.7× 96 0.8× 294 2.5× 23 1.1k
Frédéric Lagarrigue United States 17 210 0.5× 314 0.9× 247 2.0× 37 0.3× 58 0.5× 26 824
Arunkumar B. Deora United States 10 215 0.6× 760 2.3× 107 0.9× 51 0.4× 53 0.5× 12 1.1k
Beatriz Marcos‐Ramiro Spain 12 116 0.3× 398 1.2× 93 0.8× 59 0.5× 72 0.6× 15 740
Emy J. Chen United States 7 173 0.4× 857 2.5× 64 0.5× 50 0.4× 302 2.6× 7 1.4k
Kenji Watabe Japan 21 212 0.5× 538 1.6× 70 0.6× 97 0.8× 205 1.8× 53 1.1k

Countries citing papers authored by Yuning Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yuning Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuning Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuning Lu. A scholar is included among the top collaborators of Yuning Lu 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 Yuning Lu. Yuning Lu 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.
Lu, Yuning, Hongjin Wang, Xiaofeng Zhao, et al.. (2025). ITCH regulates Golgi integrity and proteotoxicity in neurodegeneration. Science Advances. 11(43). eado4330–eado4330.
2.
Wang, Ming, Richard Cheng, Yuhai Gao, et al.. (2025). Correlation of computed fractional flow and in-stent restenosis in patients with intracranial atherosclerotic stenosis. Journal of NeuroInterventional Surgery. 18(3). 868–875.
3.
Liu, Honghe, Xiaofeng Zhao, Yuning Lu, Lindsey R. Hayes, & Jiou Wang. (2024). CRISPR/Cas13d targeting suppresses repeat-associated non-AUG translation of C9orf72 hexanucleotide repeat RNA. Journal of Clinical Investigation. 134(21). 3 indexed citations
4.
Liu, Honghe, Xiaofeng Zhao, Yuning Lu, Lindsey R. Hayes, & Jiou Wang. (2024). CRISPR/Cas13d targeting suppresses repeat-associated non-AUG translation of C9orf72 hexanucleotide repeat RNA. Journal of Clinical Investigation. 134(24). 2 indexed citations
5.
Yang, Yuxuan, Kedong Ma, Yubo Cui, et al.. (2024). Novel cow dung-doped sludge biochar as an efficient ozone catalyst: Synergy between graphitic structure and defects induces free radical pathways. Environmental Research. 251(Pt 2). 118747–118747. 9 indexed citations
6.
Zhang, Rui, Yanfei Shen, Wei Lu, et al.. (2024). Machine learning for the prediction of in-hospital mortality in patients with spontaneous intracerebral hemorrhage in intensive care unit. Scientific Reports. 14(1). 14195–14195. 4 indexed citations
7.
Lu, Yuning, Qing Tang, Goran Periz, et al.. (2023). DBT is a metabolic switch for maintenance of proteostasis under proteasomal impairment. eLife. 12. 1 indexed citations
8.
Feng, Lei, Dongdong Lin, Yanfei Shen, et al.. (2022). The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study. Frontiers in Neurology. 13. 995925–995925. 8 indexed citations
9.
Lu, Yuning, et al.. (2021). MARK2 phosphorylates eIF2α in response to proteotoxic stress. PLoS Biology. 19(3). e3001096–e3001096. 26 indexed citations
10.
Lu, Yuning, Gemma Basatemur, Ian C. Scott, et al.. (2020). Interleukin-33 Signaling Controls the Development of Iron-Recycling Macrophages. Immunity. 52(5). 782–793.e5. 35 indexed citations
11.
Koch, Marion, Jaimini Cegla, Ben Jones, et al.. (2019). The effects of dyslipidaemia and cholesterol modulation on erythrocyte susceptibility to malaria parasite infection. Malaria Journal. 18(1). 381–381. 11 indexed citations
12.
Lu, Jiayin, Goran Periz, Yuning Lu, et al.. (2019). L3MBTL1 regulates ALS/FTD-associated proteotoxicity and quality control. Nature Neuroscience. 22(6). 875–886. 11 indexed citations
13.
Raab, Monika, Yuning Lu, Karsten Köhler, et al.. (2017). LFA-1 activates focal adhesion kinases FAK1/PYK2 to generate LAT-GRB2-SKAP1 complexes that terminate T-cell conjugate formation. Nature Communications. 8(1). 16001–16001. 29 indexed citations
14.
Nus, Meritxell, Andrew P. Sage, Yuning Lu, et al.. (2017). Marginal zone B cells control the response of follicular helper T cells to a high-cholesterol diet. Nature Medicine. 23(5). 601–610. 109 indexed citations
15.
Lu, Yuning, et al.. (2016). Non-cleavable talin rescues defect in the T-cell conjugation of T-cells deficient in the immune adaptor SKAP1. Immunology Letters. 172. 40–46. 7 indexed citations
16.
Lin, Chang‐Shen, et al.. (2015). Human JC virus small tumour antigen inhibits nucleotide excision repair and sensitises cells to DNA-damaging agents. Mutagenesis. 30(4). 475–485. 5 indexed citations
17.
Lu, Yuning, et al.. (2014). Genetic dissection reveals that Akt is the critical kinase downstream of LRRK2 to phosphorylate and inhibit FOXO1, and promotes neuron survival. Human Molecular Genetics. 23(21). 5649–5658. 26 indexed citations
18.
Lu, Yuning, et al.. (2013). Loss of vesicular dopamine release precedes tauopathy in degenerative dopaminergic neurons in a Drosophila model expressing human tau. Acta Neuropathologica. 125(5). 711–725. 24 indexed citations
19.
Raab, Monika, Hongyan Wang, Yuning Lu, et al.. (2010). T Cell Receptor “Inside-Out” Pathway via Signaling Module SKAP1-RapL Regulates T Cell Motility and Interactions in Lymph Nodes. Immunity. 32(4). 541–556. 90 indexed citations
20.
Wang, Hongyan, Yuning Lu, & Christopher E. Rudd. (2009). SKAP1 is dispensable for chemokine-induced migration of primary T-cells. Immunology Letters. 128(2). 148–153. 9 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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