Yajing Lu

601 total citations
21 papers, 406 citations indexed

About

Yajing Lu is a scholar working on Epidemiology, Molecular Biology and Cancer Research. According to data from OpenAlex, Yajing Lu has authored 21 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Yajing Lu's work include Pancreatitis Pathology and Treatment (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Yajing Lu is often cited by papers focused on Pancreatitis Pathology and Treatment (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). Yajing Lu collaborates with scholars based in China, Italy and Pakistan. Yajing Lu's co-authors include Rui Zhou, Ming-Hong Xie, Xian‐Ming Chen, Si Jin, Xiong Jia, Xiangli Bai, Ying Zhao, Wenzhuo Cheng, Xiaoqing Li and Shu Meng and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and The FASEB Journal.

In The Last Decade

Yajing Lu

21 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yajing Lu China 12 178 134 77 76 52 21 406
Léa Guyonnet France 11 187 1.1× 45 0.3× 145 1.9× 97 1.3× 45 0.9× 19 526
Hannah Prendeville Ireland 7 166 0.9× 79 0.6× 86 1.1× 104 1.4× 31 0.6× 10 398
Zhihui Wang China 13 273 1.5× 149 1.1× 80 1.0× 30 0.4× 31 0.6× 35 494
Xingmei Yao China 13 188 1.1× 61 0.5× 102 1.3× 28 0.4× 44 0.8× 25 475
Xiangrao Li China 10 310 1.7× 242 1.8× 102 1.3× 109 1.4× 51 1.0× 12 558
Xiaoqi Shao China 12 339 1.9× 64 0.5× 58 0.8× 129 1.7× 34 0.7× 20 436
Jahaira Lopez‐Pastrana United States 9 337 1.9× 77 0.6× 88 1.1× 330 4.3× 51 1.0× 12 630
Danxi Geng China 7 174 1.0× 79 0.6× 34 0.4× 27 0.4× 24 0.5× 16 313
Wenjun Du China 8 263 1.5× 40 0.3× 108 1.4× 80 1.1× 33 0.6× 11 367

Countries citing papers authored by Yajing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yajing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajing Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yajing Lu. A scholar is included among the top collaborators of Yajing 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 Yajing Lu. Yajing 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, Yajing, et al.. (2024). A comparison of interpretable XGBoost and artificial neural network model for the prediction of severe acute pancreatitis. Polskie Archiwum Medycyny Wewnętrznej. 134(5). 3 indexed citations
2.
Jia, Xiong, Xiangli Bai, Zhiqiang Yin, et al.. (2024). Siglec-5 as a novel receptor mediates endothelial cells oxLDL transcytosis to promote atherosclerosis. Translational research. 274. 49–66. 1 indexed citations
3.
Liu, Hongya, et al.. (2023). Chaotic time series prediction algorithm of long-term sales volume based on machine learning. 678–686. 1 indexed citations
5.
Meng, Shu, Wenzhuo Cheng, Xiong Jia, et al.. (2023). AGEs promote atherosclerosis by increasing LDL transcytosis across endothelial cells via RAGE/NF-κB/Caveolin-1 pathway. Molecular Medicine. 29(1). 113–113. 29 indexed citations
6.
Lu, Yajing, Peter C. Ambe, Zarrin Basharat, et al.. (2023). Relationship between Cholesterol-Related Lipids and Severe Acute Pancreatitis: From Bench to Bedside. Journal of Clinical Medicine. 12(5). 1729–1729. 11 indexed citations
7.
Cheng, Wenzhuo, Shu Meng, Xiangli Bai, et al.. (2023). Scavenger receptor a mediates glycated LDL transcytosis across endothelial cells to promote atherosclerosis. International Journal of Biological Macromolecules. 235. 123836–123836. 6 indexed citations
8.
Zhang, Yao, Xiuping Wang, Guanghui Chen, Yajing Lu, & Qiang Chen. (2023). Autocrine motility factor receptor promotes the malignancy of glioblastoma by regulating cell migration and invasion. Neurological Research. 46(1). 89–97. 4 indexed citations
9.
Zhao, Ying, Xiong Jia, Xiaoyan Yang, et al.. (2022). Deacetylation of Caveolin-1 by Sirt6 induces autophagy and retards high glucose-stimulated LDL transcytosis and atherosclerosis formation. Metabolism. 131. 155162–155162. 58 indexed citations
10.
Jia, Xiong, Xiangli Bai, Xiaoyan Yang, et al.. (2022). VCAM-1-binding peptide targeted cationic liposomes containing NLRP3 siRNA to modulate LDL transcytosis as a novel therapy for experimental atherosclerosis. Metabolism. 135. 155274–155274. 23 indexed citations
11.
Hong, Wandong, Yajing Lu, Tingting Xu, et al.. (2022). A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile. Frontiers in Cellular and Infection Microbiology. 12. 819267–819267. 33 indexed citations
12.
Hong, Wandong, et al.. (2022). Usefulness of Random Forest Algorithm in Predicting Severe Acute Pancreatitis. Frontiers in Cellular and Infection Microbiology. 12. 893294–893294. 22 indexed citations
13.
Hong, Wandong, Yajing Lu, Ye Yan, et al.. (2022). Non-linear correlation between amylase day 2 to day 1 ratio and incidence of severe acute pancreatitis. Frontiers in Cellular and Infection Microbiology. 12. 910760–910760. 3 indexed citations
14.
Zhao, Ying, Xiangli Bai, Xiong Jia, et al.. (2021). Age-related changes of human serum Sirtuin6 in adults. BMC Geriatrics. 21(1). 452–452. 16 indexed citations
15.
Wang, Cheng, Jie Zhu, Mingkai Chen, et al.. (2021). An NF‐κB‐responsive long noncoding RNA, PINT, regulates TNF‐α gene transcription by scaffolding p65 and EZH2. The FASEB Journal. 35(9). e21667–e21667. 9 indexed citations
16.
Huang, Juan, Lin Zhu, Xiangli Bai, et al.. (2020). Multidimensional Analysis of Risk Factors for the Severity and Mortality of Patients with COVID-19 and Diabetes. Infectious Diseases and Therapy. 9(4). 981–1002. 11 indexed citations
17.
Bai, Xiangli, Xiong Jia, Yajing Lu, et al.. (2020). Salidroside-Mediated Autophagic Targeting of Active Src and Caveolin-1 Suppresses Low-Density Lipoprotein Transcytosis across Endothelial Cells. Oxidative Medicine and Cellular Longevity. 2020. 1–21. 18 indexed citations
18.
Lu, Yajing, Jie Zhu, Ming-Hong Xie, et al.. (2019). A Long Noncoding RNA, Antisense IL-7, Promotes Inflammatory Gene Transcription through Facilitating Histone Acetylation and Switch/Sucrose Nonfermentable Chromatin Remodeling. The Journal of Immunology. 203(6). 1548–1559. 32 indexed citations
19.
20.
Xia, Zijie, et al.. (2015). Upregulation of KSRP by miR-27b provides IFN-γ-induced post-transcriptional regulation of CX3CL1 in liver epithelial cells. Scientific Reports. 5(1). 17590–17590. 12 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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