Junpei Wang

1.4k total citations · 1 hit paper
16 papers, 1.0k citations indexed

About

Junpei Wang is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Junpei Wang has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Cancer Research. Recurrent topics in Junpei Wang's work include Pancreatic function and diabetes (5 papers), Circular RNAs in diseases (4 papers) and Cancer-related molecular mechanisms research (4 papers). Junpei Wang is often cited by papers focused on Pancreatic function and diabetes (5 papers), Circular RNAs in diseases (4 papers) and Cancer-related molecular mechanisms research (4 papers). Junpei Wang collaborates with scholars based in China, Romania and United States. Junpei Wang's co-authors include Yujing Chi, Jichun Yang, Di Wang, Weidong Yu, Qinghua Cui, Jichun Yang, Weili Yang, Zhenzhen Chen, Yuhong Meng and Bin Geng and has published in prestigious journals such as PLoS ONE, Diabetes and Experimental Neurology.

In The Last Decade

Junpei Wang

16 papers receiving 1.0k citations

Hit Papers

Long Non-Coding RNA in the Pathogenesis of Cancers 2019 2026 2021 2023 2019 200 400 600
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. Long Non-Coding RNA in the Pathogenesis of Cancers
    2019 607 citations Yujing Chi, Di Wang et al. Cells profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junpei Wang China 11 787 762 117 88 61 16 1.0k
Hongyu Guan China 16 694 0.9× 495 0.6× 64 0.5× 65 0.7× 58 1.0× 36 1.0k
Xiaohong Zhang China 17 600 0.8× 521 0.7× 71 0.6× 57 0.6× 54 0.9× 35 841
Chunzi Liang China 17 706 0.9× 665 0.9× 79 0.7× 42 0.5× 53 0.9× 40 934
Xing‐dong Xiong China 17 710 0.9× 551 0.7× 36 0.3× 60 0.7× 32 0.5× 47 880
Haiyan Pan China 11 436 0.6× 363 0.5× 42 0.4× 84 1.0× 57 0.9× 25 669
Douglas J. Chapski United States 10 588 0.7× 227 0.3× 139 1.2× 47 0.5× 39 0.6× 23 851
Fjoralba Kristo United States 7 631 0.8× 672 0.9× 97 0.8× 283 3.2× 149 2.4× 13 1.1k
Lina Sun China 13 519 0.7× 301 0.4× 82 0.7× 44 0.5× 48 0.8× 17 670
Xinxing Wang China 15 673 0.9× 535 0.7× 49 0.4× 24 0.3× 64 1.0× 30 823
Zhaoping Qiu China 14 555 0.7× 455 0.6× 37 0.3× 48 0.5× 149 2.4× 17 759

Countries citing papers authored by Junpei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junpei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junpei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Junpei Wang. A scholar is included among the top collaborators of Junpei 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 Junpei Wang. Junpei Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Wang, Junpei, et al.. (2023). Fidgetin interacting with microtubule end binding protein EB3 affects axonal regrowth in spinal cord injury. Neural Regeneration Research. 18(12). 2727–2732. 4 indexed citations
2.
Wang, Junpei, Xiaomei He, Ronghua Wu, et al.. (2023). Kif15 deficiency contributes to depression-like behavior in mice. Metabolic Brain Disease. 38(7). 2369–2381. 4 indexed citations
3.
Wang, Junpei, Ronghua Wu, Ge Lin, et al.. (2022). Fidgetin impacts axonal growth and branching in a local mTOR signal dependent manner. Experimental Neurology. 361. 114315–114315. 5 indexed citations
4.
Lin, Ge, Junpei Wang, Jingyi Ma, et al.. (2021). CircRNA_01477 influences axonal growth via regulating miR-3075/FosB/Stat3 axis. Experimental Neurology. 347. 113905–113905. 15 indexed citations
5.
Chen, Zhenzhen, Junpei Wang, Yuhong Meng, et al.. (2020). Repurposing Doxepin to Ameliorate Steatosis and Hyperglycemia by Activating FAM3A Signaling Pathway. Diabetes. 69(6). 1126–1139. 24 indexed citations
6.
Yang, Weili, Yuhong Meng, Junpei Wang, et al.. (2019). FAM3C‐YY1 axis is essential for TGFβ‐promoted proliferation and migration of human breast cancer MDA‐MB‐231 cells via the activation of HSF1. Journal of Cellular and Molecular Medicine. 23(5). 3464–3475. 48 indexed citations
7.
Chi, Yujing, Di Wang, Junpei Wang, Weidong Yu, & Jichun Yang. (2019). Long Non-Coding RNA in the Pathogenesis of Cancers. Cells. 8(9). 1015–1015. 607 indexed citations breakdown →
8.
Huang, Chuanbo, Weili Yang, Junpei Wang, et al.. (2018). The DrugPattern tool for drug set enrichment analysis and its prediction for beneficial effects of oxLDL on type 2 diabetes. Journal of genetics and genomics. 45(7). 389–397. 10 indexed citations
9.
Wang, Junpei, Weili Yang, Zhenzhen Chen, et al.. (2018). Long Noncoding RNA lncSHGL Recruits hnRNPA1 to Suppress Hepatic Gluconeogenesis and Lipogenesis. Diabetes. 67(4). 581–593. 89 indexed citations
10.
Chi, Yujing, Yuhong Meng, Junpei Wang, et al.. (2018). FAM3B (PANDER) functions as a co‐activator of FOXO1 to promote gluconeogenesis in hepatocytes. Journal of Cellular and Molecular Medicine. 23(3). 1746–1758. 5 indexed citations
11.
Yang, Weili, Junpei Wang, Zhenzhen Chen, et al.. (2017). NFE2 Induces miR-423-5p to Promote Gluconeogenesis and Hyperglycemia by Repressing the Hepatic FAM3A-ATP-Akt Pathway. Diabetes. 66(7). 1819–1832. 73 indexed citations
12.
Chen, Zhenzhen, Junpei Wang, Weili Yang, et al.. (2017). FAM3C activates HSF1 to suppress hepatic gluconeogenesis and attenuate hyperglycemia of type 1 diabetic mice. Oncotarget. 8(62). 106038–106049. 14 indexed citations
13.
Chen, Zhenzhen, Weili Yang, Junpei Wang, et al.. (2017). Hepatic Activation of the FAM3C-HSF1-CaM Pathway Attenuates Hyperglycemia of Obese Diabetic Mice. Diabetes. 66(5). 1185–1197. 35 indexed citations
14.
Chen, Zhenzhen, Junpei Wang, Weili Yang, et al.. (2017). FAM3A mediates PPARγ's protection in liver ischemia-reperfusion injury by activating Akt survival pathway and repressing inflammation and oxidative stress. Oncotarget. 8(30). 49882–49896. 29 indexed citations
15.
Chen, Zhenzhen, Weili Yang, Junpei Wang, et al.. (2015). Comparison Analysis of Dysregulated LncRNA Profile in Mouse Plasma and Liver after Hepatic Ischemia/Reperfusion Injury. PLoS ONE. 10(7). e0133462–e0133462. 40 indexed citations
16.
Li, Jianwei, Wei Ma, Jian Tu, et al.. (2014). A bioinformatics method for predicting long noncoding RNAs associated with vascular disease. Science China Life Sciences. 57(8). 852–857. 43 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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