Junni Wang

458 total citations
26 papers, 312 citations indexed

About

Junni Wang is a scholar working on Nephrology, Molecular Biology and Immunology. According to data from OpenAlex, Junni Wang has authored 26 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nephrology, 9 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Junni Wang's work include Acute Kidney Injury Research (6 papers), Dialysis and Renal Disease Management (5 papers) and Mesenchymal stem cell research (4 papers). Junni Wang is often cited by papers focused on Acute Kidney Injury Research (6 papers), Dialysis and Renal Disease Management (5 papers) and Mesenchymal stem cell research (4 papers). Junni Wang collaborates with scholars based in China, United States and Canada. Junni Wang's co-authors include Fei Han, Jianghua Chen, Lingfei Zhao, Jianghua Chen, Weiqiang Lin, Xishao Xie, Jianghua Chen, Huanhuan Zhu, Chenxia Hu and Yi Yang and has published in prestigious journals such as The Journal of Immunology, The FASEB Journal and Hypertension.

In The Last Decade

Junni Wang

24 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junni Wang China 12 137 91 42 37 36 26 312
Stefanie Herzog Germany 4 83 0.6× 105 1.2× 44 1.0× 33 0.9× 32 0.9× 4 406
Deborah Van Etten United States 6 136 1.0× 141 1.5× 36 0.9× 23 0.6× 11 0.3× 10 500
Jason A. Collett United States 11 99 0.7× 131 1.4× 52 1.2× 11 0.3× 24 0.7× 25 383
Wen‐Chi Yang Taiwan 14 165 1.2× 45 0.5× 30 0.7× 47 1.3× 73 2.0× 39 508
Deborah A. Hughes Australia 10 257 1.9× 100 1.1× 32 0.8× 13 0.4× 21 0.6× 19 458
Lihua Zhang China 12 79 0.6× 26 0.3× 50 1.2× 16 0.4× 31 0.9× 36 335
Ahmed Abed France 11 167 1.2× 97 1.1× 24 0.6× 10 0.3× 9 0.3× 18 358
Marta Dratwa Poland 11 164 1.2× 37 0.4× 15 0.4× 55 1.5× 27 0.8× 19 449
Zbigniew Gaciong Poland 7 61 0.4× 20 0.2× 73 1.7× 28 0.8× 20 0.6× 13 271
Wenjia Sun China 13 166 1.2× 39 0.4× 31 0.7× 13 0.4× 10 0.3× 29 435

Countries citing papers authored by Junni Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junni Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junni Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Junni Wang. A scholar is included among the top collaborators of Junni Wang 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 Junni Wang. Junni Wang 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.
Chen, Yi‐Ting, Hong Pan, Junni Wang, et al.. (2025). Belimumab versus telitacicept in sequential treatment after rituximab for refractory lupus nephritis: a real-world multicentre study. Lupus Science & Medicine. 12(1). e001296–e001296. 2 indexed citations
2.
Lin, Yuxin, Quan Han, Junni Wang, et al.. (2024). Obinutuzumab May Be an Effective and Safe Option for Adult Minimal Change Disease and Focal Segmental Glomerulosclerosis Patients after Multitarget Therapy Including Rituximab. American Journal of Nephrology. 56(1). 1–10. 2 indexed citations
3.
Wang, Junni, Huijing Wang, Xiaohan Huang, et al.. (2024). SNORD3A Regulates STING Transcription to Promote Ferroptosis in Acute Kidney Injury. Advanced Science. 11(33). e2400305–e2400305. 16 indexed citations
4.
Wang, Junni, et al.. (2024). Bilateral Renal Ischemia-Reperfusion Model for Acute Kidney Injury in Mice. Journal of Visualized Experiments. 3 indexed citations
5.
Zhu, Huanhuan, et al.. (2024). Experimental models for preclinical research in kidney disease. 动物学研究. 45(5). 1161–1174. 5 indexed citations
6.
Shen, Quanquan, Junni Wang, Yaomin Wang, et al.. (2023). The risk factors and predictive model for cardiac valve calcification in patients on maintenance peritoneal dialysis: a single-center retrospective study. Renal Failure. 45(2). 2271069–2271069. 3 indexed citations
7.
8.
Li, Mobai, Boqiang Liu, Ying Zhang, et al.. (2022). A circular RNA, circPTPN14, increases MYC transcription by interacting with FUBP1 and exacerbates renal fibrosis. Cellular and Molecular Life Sciences. 79(12). 595–595. 6 indexed citations
9.
Xie, Xishao, Yunjing Zhang, Junni Wang, et al.. (2022). Targeting iron metabolism using gallium nanoparticles to suppress ferroptosis and effectively mitigate acute kidney injury. Nano Research. 15(7). 6315–6327. 23 indexed citations
10.
Zhu, Huanhuan, et al.. (2021). ADAMs family in kidney physiology and pathology. EBioMedicine. 72. 103628–103628. 6 indexed citations
11.
Wang, Junni, Xishao Xie, Yanhong Ma, et al.. (2021). MicroRNA-874-3p/ADAM (A Disintegrin and Metalloprotease) 19 Mediates Macrophage Activation and Renal Fibrosis After Acute Kidney Injury. Hypertension. 77(5). 1613–1626. 14 indexed citations
12.
Zhu, Huanhuan, Ying Wang, Yunjing Zhang, et al.. (2021). DNA demethylase Tet2 suppresses cisplatin-induced acute kidney injury. Cell Death Discovery. 7(1). 167–167. 16 indexed citations
13.
Zhao, Lingfei, et al.. (2020). Regenerative abilities of mesenchymal stem cells via acting as an ideal vehicle for subcellular component delivery in acute kidney injury. Journal of Cellular and Molecular Medicine. 24(9). 4882–4891. 9 indexed citations
14.
Zhao, Lingfei, et al.. (2020). Preconditioning is an effective strategy for improving the efficiency of mesenchymal stem cells in kidney transplantation. Stem Cell Research & Therapy. 11(1). 197–197. 26 indexed citations
15.
Cai, Kedan, Yanhong Ma, Junni Wang, et al.. (2020). Mannose-binding lectin activation is associated with the progression of diabetic nephropathy in type 2 diabetes mellitus patients. Annals of Translational Medicine. 8(21). 1399–1399. 10 indexed citations
16.
Zhang, Xiaohui, Xishao Xie, Junni Wang, et al.. (2019). High serum uric acid level is a mortality risk factor in peritoneal dialysis patients: a retrospective cohort study. Nutrition & Metabolism. 16(1). 52–52. 19 indexed citations
17.
18.
Zhao, Lingfei, Fei Han, Junni Wang, & Jianghua Chen. (2019). Current understanding of the administration of mesenchymal stem cells in acute kidney injury to chronic kidney disease transition: a review with a focus on preclinical models. Stem Cell Research & Therapy. 10(1). 385–385. 24 indexed citations
19.
Wang, Junni, Xishao Xie, Xiao Yang, et al.. (2019). A Fast Decline of Residual Renal Function in the First Year is a Predictor for Early Withdrawal from Peritoneal Dialysis in Non-Diabetic Patients. Kidney & Blood Pressure Research. 44(1). 12–21. 8 indexed citations
20.
Zhang, Qilong, Junni Wang, Yaomin Wang, et al.. (2018). Effects of serum uric acid level on all-cause death and cardiovascular death in patients of maintaining peritoneal dialysis. 34(11). 809–815. 3 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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