Yun Lu

7.3k total citations · 1 hit paper
109 papers, 5.4k citations indexed

About

Yun Lu is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yun Lu has authored 109 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 29 papers in Aging and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yun Lu's work include Genetics, Aging, and Longevity in Model Organisms (29 papers), Circadian rhythm and melatonin (14 papers) and Neuroscience and Neuropharmacology Research (11 papers). Yun Lu is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (29 papers), Circadian rhythm and melatonin (14 papers) and Neuroscience and Neuropharmacology Research (11 papers). Yun Lu collaborates with scholars based in United States, China and Japan. Yun Lu's co-authors include Shai Shaham, Brigid L.M. Hogan, Mark W. Onaitis, Jason R. Rock, Scott H. Randell, Yan Xue, Cheryl Clark, Emma L. Rawlins, J. Michael Thomson and Ho Yuen Frank Wong and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Yun Lu

103 papers receiving 5.3k citations

Hit Papers

Basal cells as stem cells of the mouse trachea and human ... 2009 2026 2014 2020 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun Lu United States 37 2.7k 1.1k 779 694 662 109 5.4k
Takuya Yamamoto Japan 49 5.7k 2.1× 282 0.3× 351 0.5× 1.3k 1.9× 634 1.0× 214 8.3k
Edwin Chang United States 29 3.5k 1.3× 368 0.3× 596 0.8× 444 0.6× 591 0.9× 64 7.2k
Ning Sun China 38 5.3k 2.0× 244 0.2× 226 0.3× 1.1k 1.5× 784 1.2× 151 7.5k
Norbert Hübner Germany 50 4.2k 1.6× 418 0.4× 117 0.2× 843 1.2× 626 0.9× 173 8.4k
Alexander Mildner Germany 34 3.9k 1.4× 491 0.5× 105 0.1× 471 0.7× 933 1.4× 61 11.2k
Ernst J. Wolvetang Australia 47 5.4k 2.0× 549 0.5× 95 0.1× 970 1.4× 922 1.4× 162 8.1k
Yue Zhang China 42 3.3k 1.2× 365 0.3× 121 0.2× 477 0.7× 940 1.4× 254 6.9k
Umberto Galderisi Italy 45 3.5k 1.3× 589 0.5× 100 0.1× 1.2k 1.7× 1.1k 1.6× 182 7.7k
Jason M. Kinchen United States 37 2.8k 1.0× 220 0.2× 439 0.6× 354 0.5× 251 0.4× 67 6.0k
Christoph Scheiermann Germany 32 1.8k 0.7× 379 0.3× 181 0.2× 296 0.4× 283 0.4× 57 7.0k

Countries citing papers authored by Yun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Lu. A scholar is included among the top collaborators of Yun 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 Yun Lu. Yun 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.
Liang, Yupu, et al.. (2025). Glia detect and transiently protect against dendrite substructure disruption in C. elegans. Nature Communications. 16(1). 79–79. 2 indexed citations
2.
Yarychkivska, Olya, Simin Liu, Stephen A. Newland, et al.. (2025). Non-apoptotic death of the C. elegans linker cell is primed by MYRF-1 activation of pqn-41 /polyQ. bioRxiv (Cold Spring Harbor Laboratory).
3.
Lu, Yun, Ludi Zhang, Yu Feng, et al.. (2024). Combined Diagnostic Value of Hsa-miR-592 and Hsa-miR-9-3p in Plasma for Methamphetamine Addicts. International Journal of Molecular Sciences. 25(16). 8952–8952.
4.
Lu, Yun, Bing Xie, Shao-Guang Sun, et al.. (2024). Roles of lncLingo2 and its derived miR‐876‐5p in the acquisition of opioid reinforcement. Addiction Biology. 29(2). e13375–e13375. 1 indexed citations
5.
Wang, Xuanxuan, et al.. (2024). Current scenario and challenges of clinical pharmacists to implement pharmaceutical care in DRG/DIP payment hospitals in China: a qualitative interview study. Frontiers in Public Health. 12. 1339504–1339504. 6 indexed citations
6.
Chen, Peng, et al.. (2023). Progress in etiological diagnosis of viral meningitis. Frontiers in Neurology. 14. 1193834–1193834. 3 indexed citations
7.
Lu, Yun, et al.. (2022). A developmental pathway for epithelial-to-motoneuron transformation in C. elegans. Cell Reports. 40(13). 111414–111414. 6 indexed citations
8.
Procko, Carl, et al.. (2021). Stress-Induced Neural Plasticity Mediated by Glial GPCR REMO-1 Promotes C. elegans Adaptive Behavior. Cell Reports. 34(2). 108607–108607. 12 indexed citations
9.
Liu, Xi, Yun Lu, Zibo Chen, et al.. (2020). The Ubiquitin-Specific Peptidase USP18 Promotes Lipolysis, Fatty Acid Oxidation, and Lung Cancer Growth. Molecular Cancer Research. 19(4). 667–677. 35 indexed citations
10.
Katz, Menachem, Francis Corson, Wolfgang W. Keil, et al.. (2019). Glutamate spillover in C. elegans triggers repetitive behavior through presynaptic activation of MGL-2/mGluR5. Nature Communications. 10(1). 1882–1882. 58 indexed citations
11.
Shah, Pavak K., et al.. (2018). EFF-1 fusogen promotes phagosome sealing during cell process clearance in Caenorhabditis elegans. Nature Cell Biology. 20(4). 393–399. 21 indexed citations
12.
Mustachio, Lisa Maria, Yun Lu, Laura J. Tafe, et al.. (2017). Deubiquitinase USP18 Loss Mislocalizes and Destabilizes KRAS in Lung Cancer. Molecular Cancer Research. 15(7). 905–914. 34 indexed citations
13.
Rapti, Georgia, et al.. (2017). Glia initiate brain assembly through noncanonical Chimaerin–Furin axon guidance in C. elegans. Nature Neuroscience. 20(10). 1350–1360. 41 indexed citations
15.
Hu, Shanhu, Yun Lu, Bernardo Orr, et al.. (2015). Specific CP110 Phosphorylation Sites Mediate Anaphase Catastrophe after CDK2 Inhibition: Evidence for Cooperation with USP33 Knockdown. Molecular Cancer Therapeutics. 14(11). 2576–2585. 18 indexed citations
16.
Guo, Yongli, Alexandra G. Lopez‐Aguiar, Yun Lu, et al.. (2012). Evidence for the Ubiquitin Protease UBP43 as an Antineoplastic Target. Molecular Cancer Therapeutics. 11(9). 1968–1977. 36 indexed citations
17.
Blum, Elyse S., Mary C. Abraham, Satoshi Yoshimura, Yun Lu, & Shai Shaham. (2012). Control of Nonapoptotic Developmental Cell Death in Caenorhabditis elegans by a Polyglutamine-Repeat Protein. Science. 335(6071). 970–973. 60 indexed citations
18.
Procko, Carl, Yun Lu, & Shai Shaham. (2011). Glia delimit shape changes of sensory neuron receptive endings in C. elegans. Development. 138(7). 1371–1381. 75 indexed citations
19.
Rock, Jason R., Mark W. Onaitis, Emma L. Rawlins, et al.. (2009). Basal cells as stem cells of the mouse trachea and human airway epithelium. Proceedings of the National Academy of Sciences. 106(31). 12771–12775. 1092 indexed citations breakdown →
20.
Bacaj, Taulant, et al.. (2008). Glia Are Essential for Sensory Organ Function in C. elegans. Science. 322(5902). 744–747. 146 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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