Shijun Lu

1.2k total citations
29 papers, 965 citations indexed

About

Shijun Lu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shijun Lu has authored 29 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Shijun Lu's work include MicroRNA in disease regulation (6 papers), Connexins and lens biology (4 papers) and Circular RNAs in diseases (4 papers). Shijun Lu is often cited by papers focused on MicroRNA in disease regulation (6 papers), Connexins and lens biology (4 papers) and Circular RNAs in diseases (4 papers). Shijun Lu collaborates with scholars based in China, Canada and United States. Shijun Lu's co-authors include J.I. Nagy, Xinbo Li, Baogang Zhang, Hongli Li, Carl O. Olson, Lihong Shi, John E. Rash, Thomas Yasumura, Naomi Kamasawa and Lei Sun and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Shijun Lu

28 papers receiving 954 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shijun Lu China	18	724	265	143	117	116	29	965
Jack Mottahedeh United States	12	558 0.8×	208 0.8×	147 1.0×	108 0.9×	122 1.1×	14	1.1k
Yunhong Zha China	19	764 1.1×	348 1.3×	153 1.1×	56 0.5×	58 0.5×	35	1.1k
Silvia Pozzi Italy	16	644 0.9×	173 0.7×	127 0.9×	84 0.7×	54 0.5×	28	1.0k
Idoia García Spain	19	745 1.0×	348 1.3×	175 1.2×	43 0.4×	66 0.6×	28	1.0k
Yongshan Mou United States	15	641 0.9×	119 0.4×	68 0.5×	119 1.0×	108 0.9×	21	959
Rajini Nagarajah Australia	12	582 0.8×	382 1.4×	112 0.8×	108 0.9×	91 0.8×	20	901
Karina Balan United States	8	515 0.7×	169 0.6×	84 0.6×	81 0.7×	231 2.0×	8	1.0k
Andres A. Paucar United States	7	660 0.9×	126 0.5×	69 0.5×	169 1.4×	71 0.6×	7	1.0k
Nikki K. Lytle United States	13	769 1.1×	269 1.0×	380 2.7×	179 1.5×	105 0.9×	22	1.4k

Countries citing papers authored by Shijun Lu

Since Specialization

Citations

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

Fields of papers citing papers by Shijun Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijun Lu

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

All Works

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20 of 20 papers shown

Tan, Kuan Yen, Xintao Liu, Shaobin Jia, et al.. (2025). A spatiotemporal adaptive local search method for tracking congestion propagation in dynamic networks. GIScience & Remote Sensing. 62(1).

Wang, Lixiao, et al.. (2024). Behavior Selection Models of Fire Evacuations with the Consideration of Adaptive Evacuation Psychologies. Sustainability. 16(9). 3607–3607. 6 indexed citations

Fang, Le, Shijun Lu, Fangfang Lv, et al.. (2021). Early predictors and screening tool developing for severe patients with COVID-19. BMC Infectious Diseases. 21(1). 1040–1040. 4 indexed citations

Lu, Shijun, et al.. (2019). Optimization of Wind, Solar and Battery Micro-grid Capacity Allocation. 1 indexed citations

Zhang, Baogang, Hongli Li, Chonggao Yin, et al.. (2016). Dock1 promotes the mesenchymal transition of glioma and is modulated by MiR‐31. Neuropathology and Applied Neurobiology. 43(5). 419–432. 21 indexed citations

Sun, Lei, Baogang Zhang, Yuqing Liu, et al.. (2015). MiR125a‐5p acting as a novel Gab2 suppressor inhibits invasion of glioma. Molecular Carcinogenesis. 55(1). 40–51. 17 indexed citations

Zhang, Baogang, Lihong Shi, Shijun Lu, et al.. (2015). Autocrine IL-8 promotes F-actin polymerization and mediate mesenchymal transition via ELMO1-NF-κB-Snail signaling in glioma. Cancer Biology & Therapy. 16(6). 898–911. 58 indexed citations

Chen, Wei‐Yi, Baogang Zhang, Linlin Gao, et al.. (2015). miR-429 inhibits glioma invasion through BMK1 suppression. Journal of Neuro-Oncology. 125(1). 43–54. 25 indexed citations

Zheng, Jie, Fangping Wang, Shijun Lu, & Xinbo Wang. (2015). LASP-1, regulated by miR-203, promotes tumor proliferation and aggressiveness in human non-small cell lung cancer. Experimental and Molecular Pathology. 100(1). 116–124. 21 indexed citations

10.

Zheng, Jie, Hongxia Zhang, Shujuan Liang, et al.. (2014). LASP-1 promotes tumor proliferation and metastasis and is an independent unfavorable prognostic factor in gastric cancer. Journal of Cancer Research and Clinical Oncology. 140(11). 1891–1899. 30 indexed citations

11.

Zhang, Jie, Na Niu, Mingyu Wang, et al.. (2013). Neuron-derived IgG protects dopaminergic neurons from insult by 6-OHDA and activates microglia through the FcγR I and TLR4 pathways. The International Journal of Biochemistry & Cell Biology. 45(8). 1911–1920. 25 indexed citations

12.

Zhang, Baogang, Chonggao Yin, Hongli Li, et al.. (2013). Nir1 promotes invasion of breast cancer cells by binding to chemokine (C–C motif) ligand 18 through the PI3K/Akt/GSK3β/Snail signalling pathway. European Journal of Cancer. 49(18). 3900–3913. 58 indexed citations

13.

Yin, Chonggao, Hongli Li, Baogang Zhang, et al.. (2013). RAGE-binding S100A8/A9 promotes the migration and invasion of human breast cancer cells through actin polymerization and epithelial–mesenchymal transition. Breast Cancer Research and Treatment. 142(2). 297–309. 92 indexed citations

14.

Li, Hongli, Chonggao Yin, Baogang Zhang, et al.. (2013). PTTG1 promotes migration and invasion of human non-small cell lung cancer cells and is modulated by miR-186. Carcinogenesis. 34(9). 2145–2155. 93 indexed citations

15.

Zhang, Jie, Baogang Zhang, Yingui Sun, et al.. (2013). SATB1 Expression Is Associated with Biologic Behavior in Colorectal Carcinoma In Vitro and In Vivo. PLoS ONE. 8(1). e47902–e47902. 41 indexed citations

16.

Lu, Shijun, Na Niu, Hua Guo, et al.. (2012). ARK5 promotes glioma cell invasion, and its elevated expression is correlated with poor clinical outcome. European Journal of Cancer. 49(3). 752–763. 55 indexed citations

17.

Shi, Lihong, Jin Zhang, Chunling Zhao, et al.. (2012). Gab2 expression in glioma and its implications for tumor invasion. Acta Oncologica. 52(8). 1739–1750. 30 indexed citations

18.

Li, Xinbo, Shijun Lu, & J.I. Nagy. (2009). Direct association of connexin36 with zonula occludens-2 and zonula occludens-3. Neurochemistry International. 54(5-6). 393–402. 36 indexed citations

19.

Li, Xinbo, Naomi Kamasawa, Carl O. Olson, et al.. (2008). Connexin45-Containing Neuronal Gap Junctions in Rodent Retina Also Contain Connexin36 in Both Apposing Hemiplaques, Forming Bihomotypic Gap Junctions, with Scaffolding Contributed by Zonula Occludens-1. Journal of Neuroscience. 28(39). 9769–9789. 85 indexed citations

20.

Li, Xinbo, Carl O. Olson, Shijun Lu, et al.. (2004). Neuronal connexin36 association with zonula occludens‐1 protein (ZO‐1) in mouse brain and interaction with the first PDZ domain of ZO‐1. European Journal of Neuroscience. 19(8). 2132–2146. 112 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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