Chang Lu

467 total citations
30 papers, 302 citations indexed

About

Chang Lu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Chang Lu has authored 30 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Chang Lu's work include Cancer-related molecular mechanisms research (10 papers), Endometrial and Cervical Cancer Treatments (6 papers) and Reproductive System and Pregnancy (6 papers). Chang Lu is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Endometrial and Cervical Cancer Treatments (6 papers) and Reproductive System and Pregnancy (6 papers). Chang Lu collaborates with scholars based in China, United States and Canada. Chang Lu's co-authors include Chunbo Cai, Guoqing Cao, Bugao Li, Pengfei Gao, Xiaohong Guo, Liu Y, Yan Mei, Xinlu Li, Wei He and Linyuan Fan and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Chang Lu

28 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Lu China 11 178 82 38 37 31 30 302
Liying Jin China 13 223 1.3× 108 1.3× 137 3.6× 41 1.1× 63 2.0× 26 490
Qilian Yang China 11 222 1.2× 133 1.6× 47 1.2× 19 0.5× 7 0.2× 14 403
Yao Jiang China 10 224 1.3× 62 0.8× 39 1.0× 14 0.4× 17 0.5× 19 360
Xiaocui Zheng China 9 181 1.0× 60 0.7× 83 2.2× 8 0.2× 11 0.4× 15 327
Tongsheng Wang China 10 226 1.3× 108 1.3× 39 1.0× 125 3.4× 103 3.3× 48 481
Stéfanie Schneider Germany 11 230 1.3× 66 0.8× 99 2.6× 22 0.6× 16 0.5× 13 485
Zhaoran Zhang China 10 185 1.0× 58 0.7× 22 0.6× 32 0.9× 6 0.2× 26 377
Sourya Bhattacharya India 7 220 1.2× 80 1.0× 30 0.8× 7 0.2× 12 0.4× 10 358
Xiuhua Hu China 10 170 1.0× 83 1.0× 79 2.1× 15 0.4× 10 0.3× 19 329
Dipankar Malakar India 11 148 0.8× 16 0.2× 22 0.6× 15 0.4× 26 0.8× 22 258

Countries citing papers authored by Chang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Lu. A scholar is included among the top collaborators of Chang 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 Chang Lu. Chang 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.
Zhang, Yingnan, et al.. (2025). Molecular insights into the effect of hydrocarbon gas composition characteristics on tight oil migration. Scientific Reports. 15(1). 16970–16970.
2.
Lu, Chang, et al.. (2024). Identification and Analysis of Gene Biomarkers for Ovarian Cancer. Genetic Testing and Molecular Biomarkers. 28(2). 70–81. 2 indexed citations
3.
Yang, Shuai, Xiaolei Zhao, Di Sun, et al.. (2024). Effect of LncRNA LOC106505926 on myogenesis and Lipogenesis of porcine primary cells. BMC Genomics. 25(1). 530–530. 3 indexed citations
4.
Y, Liu, Chang Lu, Linyuan Fan, et al.. (2023). PCGEM1 promotes cell proliferation and migration in endometriosis by targeting miR-124-3p-mediated ANTXR2 expression. BMC Women s Health. 23(1). 6 indexed citations
5.
He, Wei, Chang Lu, Xinlu Li, & Yan Mei. (2023). Research progress on the mechanism of ferroptosis and its role in diabetic retinopathy. Frontiers in Endocrinology. 14. 1155296–1155296. 19 indexed citations
6.
Huang, Xiaoyu, Chang Liu, Wenxia Li, et al.. (2023). Genome-wide analysis of circular RNA-mediated ceRNA regulation in porcine skeletal muscle development. BMC Genomics. 24(1). 196–196. 5 indexed citations
7.
Lu, Chang, et al.. (2022). Long non-coding RNAs in Sus scrofa ileum under starvation stress. Animal Bioscience. 35(7). 975–988. 1 indexed citations
8.
Y, Liu, Linyuan Fan, Chang Lu, et al.. (2022). Integrated bioinformatic analysis of dysregulated microRNA‐mRNA co‐expression network in ovarian endometriosis. Acta Obstetricia Et Gynecologica Scandinavica. 101(10). 1074–1084. 7 indexed citations
9.
Wang, Haizhen, Juan Liu, Xiaona Zhang, et al.. (2022). Expression patterns and functional analysis of porcine lnc-34015. Animal Biotechnology. 34(7). 2251–2261. 2 indexed citations
10.
Ge, Xusheng, Xiaona Zhang, Chunbo Cai, et al.. (2022). Effects of Maternal Factors and Postpartum Environment on Early Colonization of Intestinal Microbiota in Piglets. Frontiers in Veterinary Science. 9. 815944–815944. 6 indexed citations
11.
Liu, Ting, Chang Lu, Chunbo Cai, et al.. (2022). Effect of Different Pig Fecal Microbiota Transplantation on Mice Intestinal Function and Microbiota Changes During Cold Exposure. Frontiers in Veterinary Science. 9. 805815–805815. 10 indexed citations
12.
Lu, Chang, et al.. (2022). Diagnostic gene biomarkers for predicting immune infiltration in endometriosis. BMC Women s Health. 22(1). 184–184. 4 indexed citations
13.
Yang, Yang�, Yiqi Wu, Yanwei Zhang, et al.. (2022). The long non-coding RNA lncMYOZ2 mediates an AHCY/MYOZ2 axis to promote adipogenic differentiation in porcine preadipocytes. BMC Genomics. 23(1). 700–700. 6 indexed citations
14.
Cheng, Zhimin, Chang Lu, Chunbo Cai, et al.. (2021). Glutamic-oxaloacetic transaminase 1 regulates adipocyte differentiation by altering nicotinamide adenine dinucleotide phosphate content. Animal Bioscience. 35(2). 155–165. 7 indexed citations
15.
Li, Meng, Na Zhang, Chunbo Cai, et al.. (2021). Comprehensive analysis of differentially expressed circRNAs and ceRNA regulatory network in porcine skeletal muscle. BMC Genomics. 22(1). 320–320. 26 indexed citations
16.
Chen, Ru, Juan Wu, Chang Lu, et al.. (2021). Systematic Transcriptome Analysis Reveals the Inhibitory Function of Cinnamaldehyde in Non-Small Cell Lung Cancer. Frontiers in Pharmacology. 11. 611060–611060. 22 indexed citations
17.
Lu, Chang, Shu Wang, Chunbo Cai, et al.. (2021). Comparative Evaluation of the Ileum Microbiota Composition in Piglets at Different Growth Stages. Frontiers in Microbiology. 12. 765691–765691. 8 indexed citations
18.
Lu, Chang, Liu Y, Xiaodan Wang, Haili Jiang, & Zhaohui Liu. (2021). Tumor necrosis factor receptor type 1-associated death domain (TRADD) regulates epithelial-mesenchymal transition (EMT), M1/M2 macrophage polarization and ectopic endometrial cysts formation in endometriosis. Annals of Translational Medicine. 9(2). 148–148. 10 indexed citations
19.
Yang, Yang, Juan Liu, Haizhen Wang, et al.. (2021). Composition of the Fecal Microbiota of Piglets at Various Growth Stages. Frontiers in Veterinary Science. 8. 661671–661671. 25 indexed citations
20.
Wang, Lingjuan, et al.. (2019). The iron chelator desferrioxamine synergizes with chemotherapy for cancer treatment. Journal of Trace Elements in Medicine and Biology. 56. 131–138. 37 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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