Lu Jiang

3.5k total citations · 1 hit paper
86 papers, 2.6k citations indexed

About

Lu Jiang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Lu Jiang has authored 86 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 16 papers in Cancer Research and 12 papers in Immunology. Recurrent topics in Lu Jiang's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Clinical Nutrition and Gastroenterology (9 papers) and Diet and metabolism studies (7 papers). Lu Jiang is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Clinical Nutrition and Gastroenterology (9 papers) and Diet and metabolism studies (7 papers). Lu Jiang collaborates with scholars based in China, United States and Ghana. Lu Jiang's co-authors include Guo‐Yuan Yang, Xiaoli Wu, Xipeng Wang, Ying Xiang, Quanfeng Wu, Xinjing Wang, Qinyi Zhu, Xin Chen, Yaying Song and Meijie Qu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Lu Jiang

84 papers receiving 2.6k citations

Hit Papers

M2 microglia-derived exosomes protect the mouse brain fro... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. M2 microglia-derived exosomes protect the mouse brain from ischemia-reperfusion injury via exosomal miR-124
    2019 379 citations Yaying Song, Zongwei Li et al. Theranostics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Jiang China 27 1.6k 978 541 373 201 86 2.6k
Yongmei Zhao United States 22 1.2k 0.8× 596 0.6× 710 1.3× 243 0.7× 510 2.5× 59 2.6k
Lihua Sun China 32 2.0k 1.2× 1.3k 1.4× 190 0.4× 277 0.7× 209 1.0× 99 3.2k
Nathalie Dehne Germany 26 1.1k 0.7× 675 0.7× 720 1.3× 147 0.4× 267 1.3× 46 2.3k
Huan Ren China 29 1.3k 0.8× 579 0.6× 321 0.6× 118 0.3× 285 1.4× 116 2.5k
Qingde Wang United States 23 2.6k 1.6× 567 0.6× 722 1.3× 154 0.4× 102 0.5× 44 3.5k
Jiajia Wang China 29 1.2k 0.8× 284 0.3× 453 0.8× 174 0.5× 241 1.2× 119 2.6k
Yun Zhong China 25 1.2k 0.8× 540 0.6× 219 0.4× 397 1.1× 142 0.7× 66 2.3k
Chen Zhang China 32 1.6k 1.0× 610 0.6× 970 1.8× 93 0.2× 386 1.9× 149 3.3k

Countries citing papers authored by Lu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Jiang. A scholar is included among the top collaborators of Lu Jiang 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 Lu Jiang. Lu Jiang 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.
Du, Lillian, Lili Liang, Yi Yang, et al.. (2025). Multi-omics analyses of the gut microbiota and metabolites in children with metabolic dysfunction-associated steatotic liver disease. mSystems. 10(4). e0114824–e0114824. 7 indexed citations
2.
Ren, Tianyi, Liang Du, Huikuan Chu, et al.. (2025). Prevotella copri-produced 5-aminopentanoic acid promotes pediatric metabolic dysfunction-associated steatotic liver disease. Hepatobiliary & pancreatic diseases international. 24(3). 303–315. 7 indexed citations
3.
4.
Yan, Junkai, et al.. (2023). Multi-Omics Unravels Metabolic Alterations in the Ileal Mucosa of Neonatal Piglets Receiving Total Parenteral Nutrition. Metabolites. 13(4). 555–555. 2 indexed citations
5.
Wang, Yong, et al.. (2023). Alterations of gut microbiota in a mouse model with partial small intestinal obstruction. Frontiers in Microbiology. 14. 1242650–1242650. 1 indexed citations
6.
He, Jiao, Weihong Ren, Wenyan Han, et al.. (2022). Exosomal targeting and its potential clinical application. Drug Delivery and Translational Research. 12(10). 2385–2402. 123 indexed citations
7.
Jiang, Lu, Ying Wang, Yongtao Xiao, et al.. (2021). Role of the Gut Microbiota in Parenteral Nutrition–Associated Liver Disease: From Current Knowledge to Future Opportunities. Journal of Nutrition. 152(2). 377–385. 9 indexed citations
8.
9.
Wu, Lei, Xiao Zhang, Lu Zheng, et al.. (2020). RIPK3 Orchestrates Fatty Acid Metabolism in Tumor-Associated Macrophages and Hepatocarcinogenesis. Cancer Immunology Research. 8(5). 710–721. 200 indexed citations
10.
Lei, Cao‐Qi, et al.. (2019). USP19 Inhibits TNF-α– and IL-1β–Triggered NF-κB Activation by Deubiquitinating TAK1. The Journal of Immunology. 203(1). 259–268. 97 indexed citations
11.
Song, Yaying, Zongwei Li, Tingting He, et al.. (2019). M2 microglia-derived exosomes protect the mouse brain from ischemia-reperfusion injury via exosomal miR-124. Theranostics. 9(10). 2910–2923. 379 indexed citations breakdown →
12.
Jiang, Lu, et al.. (2018). Prevalence and molecular characteristics of mcr-1 gene in Salmonella typhimurium in a tertiary hospital of Zhejiang Province. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Pan, Lin, Jiaji Pan, Yuanyuan Ma, et al.. (2018). CLARITY for High-resolution Imaging and Quantification of Vasculature in the Whole Mouse Brain. Aging and Disease. 9(2). 262–262. 29 indexed citations
14.
Jiang, Pengcheng, Ying Wang, Lu Jiang, et al.. (2018). Cross-linked hyaluronan gel inhibits the growth and metastasis of ovarian carcinoma. Journal of Ovarian Research. 11(1). 22–22. 10 indexed citations
15.
Chen, Long, Huixin Yang, Zihan Yi, et al.. (2018). LncRNA GAS5 regulates redox balance and dysregulates the cell cycle and apoptosis in malignant melanoma cells. Journal of Cancer Research and Clinical Oncology. 145(3). 637–652. 54 indexed citations
16.
Xie, Yingqiu, Haiyan Fan, Wenfu Lu, et al.. (2018). Nuclear MET requires ARF and is inhibited by carbon nanodots through binding to phospho-tyrosine in prostate cancer. Oncogene. 38(16). 2967–2983. 19 indexed citations
17.
Wu, Quanfeng, Xiaoli Wu, Ying Xiang, et al.. (2017). Suppression of endothelial cell migration by tumor associated macrophage-derived exosomes is reversed by epithelial ovarian cancer exosomal lncRNA. Cancer Cell International. 17(1). 62–62. 80 indexed citations
18.
Jiang, Lu. (2014). Low Temperature and Copper Induce Viable but Nonculturable State of <i>Salmonella typhi</i> in the Bottled Drinking Water. Advanced materials research. 893. 492–495. 3 indexed citations
19.
Yan, Tao, Ting Lan, Jianrong Sang, et al.. (2012). Endogenous cGMP-dependent protein kinase reverses EGF-induced MAPK/ERK signal transduction through phosphorylation of VASP at Ser239. Oncology Letters. 4(5). 1104–1108. 9 indexed citations
20.
Jiang, Lu. (2004). Therapeutic effect of Smecta on organophosphorus pesticide poisoning. 1 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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