Haijiang Wu

1.4k total citations
27 papers, 1.1k citations indexed

About

Haijiang Wu is a scholar working on Molecular Biology, Nephrology and Immunology. According to data from OpenAlex, Haijiang Wu has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Nephrology and 4 papers in Immunology. Recurrent topics in Haijiang Wu's work include Chronic Kidney Disease and Diabetes (4 papers), Biomarkers in Disease Mechanisms (3 papers) and Adipose Tissue and Metabolism (3 papers). Haijiang Wu is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), Biomarkers in Disease Mechanisms (3 papers) and Adipose Tissue and Metabolism (3 papers). Haijiang Wu collaborates with scholars based in China and Canada. Haijiang Wu's co-authors include Huijun Duan, Yonghong Shi, Jinying Wei, Ming Wu, Yunzhuo Ren, Chunyang Du, Xinna Deng, Shan Song, Yunxia Du and Nan Chen and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Experimental Cell Research.

In The Last Decade

Haijiang Wu

25 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haijiang Wu China 18 612 220 162 153 148 27 1.1k
Jun Hao China 23 629 1.0× 264 1.2× 167 1.0× 176 1.2× 159 1.1× 57 1.3k
Xiaofen Xiong China 16 592 1.0× 285 1.3× 147 0.9× 107 0.7× 232 1.6× 22 1.2k
Yunzhuo Ren China 20 536 0.9× 264 1.2× 127 0.8× 85 0.6× 148 1.0× 30 1.0k
Zhonggao Xu China 12 722 1.2× 218 1.0× 95 0.6× 202 1.3× 80 0.5× 18 1.2k
Xue‐qi Liu China 21 657 1.1× 330 1.5× 90 0.6× 166 1.1× 146 1.0× 33 1.2k
Feng Guo China 21 729 1.2× 260 1.2× 102 0.6× 322 2.1× 208 1.4× 67 1.4k
Guangju Guan China 23 543 0.9× 313 1.4× 187 1.2× 83 0.5× 129 0.9× 43 1.4k
Qingjuan Liu China 23 523 0.9× 288 1.3× 92 0.6× 149 1.0× 112 0.8× 52 1.1k
Yunman Wang China 20 421 0.7× 365 1.7× 106 0.7× 74 0.5× 158 1.1× 36 1.1k

Countries citing papers authored by Haijiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haijiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haijiang Wu. A scholar is included among the top collaborators of Haijiang Wu 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 Haijiang Wu. Haijiang Wu 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.
Deng, Xinna, Jinying Wei, Zhaohua Yang, et al.. (2024). Irisin ameliorates UUO-induced renal interstitial fibrosis through TGF-β1/periostin/MMP-2 signaling pathway. PLoS ONE. 19(6). e0299389–e0299389.
2.
3.
Deng, Xinna, et al.. (2023). Global research trends in unilateral ureteral obstruction-induced renal fibrosis: A bibliometric and visualized study. Medicine. 102(32). e34713–e34713. 1 indexed citations
4.
Wei, Jinying, Yunxia Du, Shan Song, et al.. (2023). Irisin Ameliorates Renal Tubulointerstitial Fibrosis by Regulating the Smad4/β-Catenin Pathway in Diabetic Mice. Diabetes Metabolic Syndrome and Obesity. Volume 16. 1577–1593. 3 indexed citations
5.
Deng, Xinna, et al.. (2023). Pan-Cancer Analysis and Experimental Validation of SOX4 as a Potential Diagnosis, Prognosis, and Immunotherapy Biomarker. Cancers. 15(21). 5235–5235. 8 indexed citations
6.
Du, Chunyang, Yan Zhu, Yan Yang, et al.. (2022). C1q/tumour necrosis factor-related protein-3 alleviates high-glucose-induced lipid accumulation and necroinflammation in renal tubular cells by activating the adenosine monophosphate-activated protein kinase pathway. The International Journal of Biochemistry & Cell Biology. 149. 106247–106247. 3 indexed citations
7.
Song, Shan, et al.. (2022). Sestrin2 remedies podocyte injury via orchestrating TSP-1/TGF-β1/Smad3 axis in diabetic kidney disease. Cell Death and Disease. 13(7). 663–663. 39 indexed citations
8.
Wei, Jinying, Xinna Deng, Runmei Li, et al.. (2021). PP2 Ameliorates Renal Fibrosis by Regulating the NF‐κB/COX‐2 and PPARγ/UCP2 Pathway in Diabetic Mice. Oxidative Medicine and Cellular Longevity. 2021(1). 7394344–7394344. 15 indexed citations
9.
10.
Song, Shan, Yuhan Wang, Jinying Wei, et al.. (2020). TXNIP deficiency mitigates podocyte apoptosis via restraining the activation of mTOR or p38 MAPK signaling in diabetic nephropathy. Experimental Cell Research. 388(2). 111862–111862. 28 indexed citations
11.
Song, Shan, Yonghong Shi, Shuai Wang, et al.. (2019). Thioredoxin‐interacting protein deficiency alleviates phenotypic alterations of podocytes via inhibition of mTOR activation in diabetic nephropathy. Journal of Cellular Physiology. 234(9). 16485–16502. 27 indexed citations
12.
Song, Shan, Ming Wu, Haijiang Wu, et al.. (2018). Knockdown of NLRP3 alleviates high glucose or TGFB1-induced EMT in human renal tubular cells. Journal of Molecular Endocrinology. 61(3). 101–113. 74 indexed citations
13.
Wu, Ming, Shan Song, Yunxia Du, et al.. (2018). NLRP3 deficiency ameliorates renal inflammation and fibrosis in diabetic mice. Molecular and Cellular Endocrinology. 478. 115–125. 158 indexed citations
14.
Du, Chunyang, Fang Yao, Yunzhuo Ren, et al.. (2017). SOCS-1 is involved in TNF-α-induced mitochondrial dysfunction and apoptosis in renal tubular epithelial cells. Tissue and Cell. 49(5). 537–544. 15 indexed citations
15.
Ren, Yunzhuo, et al.. (2017). The Sirt1 activator, SRT1720, attenuates renal fibrosis by inhibiting CTGF and oxidative stress. International Journal of Molecular Medicine. 39(5). 1317–1324. 84 indexed citations
16.
Deng, Xinna, Haijiang Wu, Fei Gao, et al.. (2017). Brachytherapy in the treatment of breast cancer. International Journal of Clinical Oncology. 22(4). 641–650. 21 indexed citations
17.
Du, Chunyang, Ming Wu, Huan Liu, et al.. (2016). Thioredoxin-interacting protein regulates lipid metabolism via Akt/mTOR pathway in diabetic kidney disease. The International Journal of Biochemistry & Cell Biology. 79. 1–13. 43 indexed citations
18.
Wu, Haijiang, Yonghong Shi, Xinna Deng, et al.. (2015). Inhibition of c-Src/p38 MAPK pathway ameliorates renal tubular epithelial cells apoptosis in db/db mice. Molecular and Cellular Endocrinology. 417. 27–35. 30 indexed citations
19.
Ren, Yunzhuo, Chunyang Du, Yan Li, et al.. (2015). CTGF siRNA ameliorates tubular cell apoptosis and tubulointerstitial fibrosis in obstructed mouse kidneys in a Sirt1-independent manner. Drug Design Development and Therapy. 9. 4155–4155. 21 indexed citations
20.
Wu, Haijiang, et al.. (2008). Expansion of hematopoietic stem/progenitor cells. American Journal of Hematology. 83(12). 922–926. 22 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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