Yuan Lu

2.6k total citations
68 papers, 2.1k citations indexed

About

Yuan Lu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yuan Lu has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 11 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Yuan Lu's work include Antibiotic Resistance in Bacteria (8 papers), RNA Interference and Gene Delivery (7 papers) and Bacterial biofilms and quorum sensing (7 papers). Yuan Lu is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), RNA Interference and Gene Delivery (7 papers) and Bacterial biofilms and quorum sensing (7 papers). Yuan Lu collaborates with scholars based in China, United States and Hong Kong. Yuan Lu's co-authors include Ming Guan, Min Li, Xiaofei Jiang, Chunfang Liu, Rufeng Xie, Zhicheng Wang, Yan Song, Xin Du, Jinhui Hu and Ruilai Liu and has published in prestigious journals such as Nature Medicine, PLoS ONE and Scientific Reports.

In The Last Decade

Yuan Lu

62 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuan Lu China	25	1.2k	389	307	272	236	68	2.1k
Han Shen China	23	640 0.5×	549 1.4×	320 1.0×	299 1.1×	111 0.5×	79	1.8k
Xiaoli Cao China	26	657 0.6×	160 0.4×	507 1.7×	275 1.0×	155 0.7×	134	2.0k
Takafumi Watanabe Japan	26	859 0.7×	139 0.4×	116 0.4×	193 0.7×	146 0.6×	96	1.7k
Jinbo Liu China	25	882 0.8×	149 0.4×	243 0.8×	416 1.5×	59 0.3×	142	2.3k
Kyungja Han South Korea	26	710 0.6×	140 0.4×	177 0.6×	110 0.4×	96 0.4×	158	2.4k
Tadashi Yoshida Japan	30	902 0.8×	154 0.4×	162 0.5×	86 0.3×	161 0.7×	188	2.6k
Jung Min Kim South Korea	28	1.3k 1.1×	68 0.2×	669 2.2×	308 1.1×	115 0.5×	93	2.6k
Shiyang Pan China	30	1.1k 1.0×	239 0.6×	276 0.9×	696 2.6×	46 0.2×	119	2.8k
Richard F. Selden United States	28	1.4k 1.2×	211 0.5×	176 0.6×	58 0.2×	97 0.4×	55	2.9k
Yehudit Bergman United States	26	612 0.5×	137 0.4×	688 2.2×	64 0.2×	201 0.9×	56	1.7k

Countries citing papers authored by Yuan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Yuan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lu, Yuan, Hengyong Xu, Yuxin Zhou, et al.. (2025). BMP8A, TGF-β1 regulates chicken chondrocyte proliferation, differentiation, and apoptosis induced by Thiram. Animal Bioscience. 39(1). 250413–250413. 1 indexed citations

Lu, Yuan, Chieh‐Chung Lin, & Yen-Chu Huang. (2025). Case Report: A 14-year-old boy with recurrent pancreatitis and autism—response to steroid and rituximab therapy. Frontiers in Pediatrics. 13. 1594539–1594539.

Yang, Jin, Qing Zhao, Huan Zhang, et al.. (2024). Metabolomics combined with network pharmacology revealed a paradigm for determining the mechanism underlying the metabolic action of Gegen Qinlian Decoction amelioration of ulcerative colitis in mice. Journal of Chromatography B. 1250. 124352–124352. 1 indexed citations

Zhang, Fengyu, Ruilai Liu, Haishi Zhang, et al.. (2020). Suppressing Dazl modulates tumorigenicity and stemness in human glioblastoma cells. BMC Cancer. 20(1). 673–673. 19 indexed citations

Liang, Wei, Yu Tang, Gang Li, et al.. (2019). KlcAHS genes are ubiquitous in clinical, blaKPC-2-positive, Klebsiella pneumoniae isolates. Infection Genetics and Evolution. 70. 84–89. 3 indexed citations

Liang, Wei, Yingzhou Xie, Wei Xiong, et al.. (2017). Anti-Restriction Protein, KlcAHS, Promotes Dissemination of Carbapenem Resistance. Frontiers in Cellular and Infection Microbiology. 7. 150–150. 22 indexed citations

Liu, Chunfang, Zhan Ma, Jun Hou, et al.. (2013). Germline traits of human hepatoblastoma cells associated with growth and metastasis. Biochemical and Biophysical Research Communications. 437(1). 120–126. 8 indexed citations

Hu, Jinhui, Hongxing Ye, Denghai Zhang, et al.. (2013). U87MG glioma cells overexpressing IL-17 acclerate early-stage growth in vivo and cause a higher level of CD31 mRNA expression in tumor tissues. Oncology Letters. 6(4). 993–999. 15 indexed citations

Du, Xin, Yuanjun Zhu, Yan Song, et al.. (2013). Molecular Analysis of Staphylococcus epidermidis Strains Isolated from Community and Hospital Environments in China. PLoS ONE. 8(5). e62742–e62742. 87 indexed citations

10.

Chen, Xiaoyu, et al.. (2013). The Role of Mitochondria-Derived Reactive Oxygen Species in Hyperthermia-Induced Platelet Apoptosis. PLoS ONE. 8(9). e75044–e75044. 137 indexed citations

11.

Lu, Yuan. (2011). Missile-borne SINS Online Calibration. Journal of Projectiles.Rockets.Missiles and Guidance.

12.

Hu, Jinhui, Ying Mao, Min Li, & Yuan Lu. (2011). The profile of Th17 subset in glioma. International Immunopharmacology. 11(9). 1173–1179. 22 indexed citations

13.

Wang, Jie, et al.. (2010). Evaluation of the Sysmex UF-1000i for the Diagnosis of Urinary Tract Infection. American Journal of Clinical Pathology. 133(4). 577–582. 59 indexed citations

14.

Xu, Kang, et al.. (2009). Silencing of HIF-1α suppresses tumorigenicity of renal cell carcinoma through induction of apoptosis. Cancer Gene Therapy. 17(3). 212–222. 22 indexed citations

15.

Zhang, Tao, et al.. (2009). Overexpression of DLC-1 induces cell apoptosis and proliferation inhibition in the renal cell carcinoma. Cancer Letters. 283(1). 59–67. 28 indexed citations

16.

Jiang, Xiaofei, et al.. (2008). A novel and rapid method for determining integration frequency catalyzed by integron integrase intI1. Journal of Microbiological Methods. 76(1). 97–100. 5 indexed citations

17.

Chen, Nan, Pingping Lv, Yingying Chen, et al.. (2007). Hemin-induced Erk1/2 activation and heme oxygenase-1 expression in human umbilical vein endothelial cells. Free Radical Research. 41(9). 990–996. 6 indexed citations

18.

Zhang, Tao, Ming Guan, & Yuan Lu. (2005). Production of active pigment epithelium-derived factor inE. coli. Biotechnology Letters. 27(6). 403–407. 8 indexed citations

19.

Guan, Ming, et al.. (2004). Inhibition of glioma invasion by overexpression of pigment epithelium-derived factor. Cancer Gene Therapy. 11(5). 325–332. 68 indexed citations

20.

Liu, Weiwei, Ming Guan, Denglong Wu, et al.. (2004). Using Tree Analysis Pattern and SELDI-TOF-MS to Discriminate Transitional Cell Carcinoma of the Bladder Cancer from Noncancer Patients. European Urology. 47(4). 456–462. 54 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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