Jun Su

841 total citations
44 papers, 600 citations indexed

About

Jun Su is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Jun Su has authored 44 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Epidemiology and 12 papers in Cancer Research. Recurrent topics in Jun Su's work include Meningioma and schwannoma management (10 papers), Glioma Diagnosis and Treatment (7 papers) and Cancer-related molecular mechanisms research (7 papers). Jun Su is often cited by papers focused on Meningioma and schwannoma management (10 papers), Glioma Diagnosis and Treatment (7 papers) and Cancer-related molecular mechanisms research (7 papers). Jun Su collaborates with scholars based in China, United States and Macao. Jun Su's co-authors include Qing Liu, Qing Liu, Gang Peng, Xianrui Yuan, Chaoying Qin, Kai Xiao, Haoyu Li, Dingkun Gui, Jian Yuan and Zijin Zhao and has published in prestigious journals such as Oncogene, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Jun Su

40 papers receiving 597 citations

Peers

Countries citing papers authored by Jun Su

Since Specialization

Citations

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

Fields of papers citing papers by Jun Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Su

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	MitCOM-based prognostic model identifies GLUD1 as a key suppressor of glioblastoma growth and invasion through regulation of mitochondrial structure and metabolism 2025 ·Cancer Cell International ·(unknown), Chaoying Qin, Long Jiang, Jun Su, (unknown), Qing Liu, (unknown)	0
2	Effects of beinaglutide on visceral fat area and gut microbiota in obesity 2025 ·European journal of medical research ·(unknown), (unknown), (unknown), (unknown), Jun Su, (unknown), (unknown), Li Shi	0
3	Efficacy of various extent of resection on survival rates of patients with pilocytic astrocytoma: based on a large population 2024 ·Scientific Reports ·Jun Su, Shanshan Guo, (unknown), Yiming Han, Jingwang Yan, Qiyun Tang, (unknown), Haiqiang Zhang, (unknown), Gaopan Dong, Chao Guo, Pengfei Yang	0
4	Individualized surgical treatment of giant tuberculum sellae meningioma: Unilateral subfrontal approach vs. endoscopic transsphenoidal approach 2022 ·Frontiers in Surgery ·(unknown), Chao Zhang, Jun Su, Chaoying Qin, Xiangyu Wang, Yue Li, Qing Liu	3
5	Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments 2022 ·Journal of Translational Medicine ·Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin, (unknown)	26
6	OAE-based data mining and modeling analysis of adverse events associated with three licensed HPV vaccines 2022 ·Heliyon ·(unknown), (unknown), Jun Su, Yongqun He, (unknown)	1
7	Pretemporal Transcavernous Approach for Resection of Non-meningeal Tumors of the Cavernous Sinus: Single Center Experience 2022 ·Frontiers in Surgery ·(unknown), Jun Su, Qun Xiao, Qianquan Ma, Wenyong Long, (unknown)	2
8	Surgical Management of Tentorial Notch Meningioma Guided by Further Classification: A Consecutive Study of 53 Clinical Cases 2021 ·Frontiers in Oncology ·Chaoying Qin, Junquan Wang, Wenyong Long, Kai Xiao, Changwu Wu, Jian Yuan, (unknown), Chi Zhang, Jun Su, Xianrui Yuan, Qing Liu	3
9	PDIA4 Correlates with Poor Prognosis and is a Potential Biomarker in Glioma 2021 ·OncoTargets and Therapy ·Haoyu Li, Qing Liu, Kai Xiao, (unknown), Chao Wu, Jianjun Sun, Xin Chen, Suhua Chen, Jun Yang, Qianquan Ma, Jun Su	14
10	LINC00152 acts as a potential marker in gliomas and promotes tumor proliferation and invasion through the LINC00152/miR-107/RAB10 axis 2021 ·Journal of Neuro-Oncology ·Gang Peng, Jun Su, Songhua Xiao, Qing Liu	10
11	Xuesaitong Protects Podocytes from Apoptosis in Diabetic Rats through Modulating PTEN-PDK1-Akt-mTOR Pathway 2020 ·Journal of Diabetes Research ·Rui Xue, Ruonan Zhai, Ling Xie, (unknown), Guihua Jian, (unknown), Jun Su, (unknown), Niansong Wang, Xifei Yang, Youhua Xu, Dingkun Gui	16
12	Mechanism of progression of diabetic kidney disease mediated by podocyte mitochondrial injury 2020 ·Molecular Biology Reports ·Jun Su, Dan Ye, (unknown), (unknown), Dingkun Gui	20
13	Identification and validation of a three-gene signature as a candidate prognostic biomarker for lower grade glioma 2020 ·PeerJ ·Kai Xiao, Qing Liu, Gang Peng, Jun Su, Chaoying Qin, Xiangyu Wang	25
14	LCTL Is a Prognostic Biomarker and Correlates With Stromal and Immune Infiltration in Gliomas 2019 ·Frontiers in Oncology ·Jun Su, Qianquan Ma, Wenyong Long, Hailin Tang, Changwu Wu, Mei Luo, Xiangyu Wang, Kai Xiao, Li Yang, Qun Xiao, Chi Zhang, Haoyu Li, Qing Liu	15
15	Identification of a Tumor Microenvironment-Related Eight-Gene Signature for Predicting Prognosis in Lower-Grade Gliomas 2019 ·Frontiers in Genetics ·Jun Su, Wenyong Long, Qianquan Ma, Kai Xiao, Li Yang, Qun Xiao, Gang Peng, Jian Yuan, Qing Liu	26
16	SHP-2 restricts apoptosis induced by chemotherapeutic agents via Parkin-dependent autophagy in cervical cancer 2018 ·Cancer Cell International ·Dewen Yan, (unknown), Xiumin Zhao, Jun Su	14
17	Design, synthesis, and biological evaluation of novel 4-anilinoquinazoline derivatives bearing amino acid moiety as potential EGFR kinase inhibitors 2017 ·European Journal of Medicinal Chemistry ·Youguang Zheng, Jun Su, Caiyun Gao, Ping Jiang, Lin An, Yunsheng Xue, Jian Gao, Yi Liu	18
18	Cyclin-dependent kinase 2 (CDK2) is a key mediator for EGF-induced cell transformation mediated through the ELK4/c-Fos signaling pathway 2015 ·Oncogene ·Cong Peng, Wenbin Zeng, Jun Su, Yehong Kuang, Yan He, Shuang Zhao, Jianglin Zhang, W Ma, Ann M. Bode, Zigang Dong, (unknown)	47
19	MicroRNA-133b inhibits cell migration and invasion by targeting matrix metalloproteinase 14 in glioblastoma 2015 ·Oncology Letters ·Liang Chang, (unknown), (unknown), Xuexin Zhang, Hua Jin, Chao Wang, Xin Wang, Guo‐Fu Li, (unknown), Jun Su	18
20	Long-term exposure to imatinib reduced cancer stem cell ability through induction of cell differentiation via activation of MAPK signaling in glioblastoma cells 2012 ·Molecular and Cellular Biochemistry ·Yucui Dong, (unknown), Yan Zou, (unknown), Xinliang Lu, (unknown), Weihua Zhang, Hua Jin, Jun Su, Tao Jiang, Huan Ren	35

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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