Jun Ye

434 total citations
22 papers, 335 citations indexed

About

Jun Ye is a scholar working on Molecular Biology, Clinical Biochemistry and Cancer Research. According to data from OpenAlex, Jun Ye has authored 22 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Clinical Biochemistry and 6 papers in Cancer Research. Recurrent topics in Jun Ye's work include Metabolism and Genetic Disorders (8 papers), Diet and metabolism studies (4 papers) and Mitochondrial Function and Pathology (3 papers). Jun Ye is often cited by papers focused on Metabolism and Genetic Disorders (8 papers), Diet and metabolism studies (4 papers) and Mitochondrial Function and Pathology (3 papers). Jun Ye collaborates with scholars based in China, United States and Australia. Jun Ye's co-authors include Qin Du, Chunpeng Zhu, Liming Shao, Caihua Wang, Yuezhong Ren, Jia Wu, Pan Chi, Zonghui Ding, Wenjuan Qiu and Bojie Lin and has published in prestigious journals such as Frontiers in Microbiology, Gene and Clinica Chimica Acta.

In The Last Decade

Jun Ye

22 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Ye China	10	194	75	72	37	28	22	335
Elizabeth Shipp United States	9	287 1.5×	59 0.8×	25 0.3×	27 0.7×	83 3.0×	14	634
Patrick W. Turk United States	7	397 2.0×	58 0.8×	13 0.2×	21 0.6×	57 2.0×	9	545
Iris Kaiser Germany	10	207 1.1×	28 0.4×	20 0.3×	13 0.4×	16 0.6×	11	414
Xiao Ping Zhu China	11	183 0.9×	58 0.8×	13 0.2×	10 0.3×	55 2.0×	18	330
Grégory Chevillard France	11	272 1.4×	48 0.6×	18 0.3×	16 0.4×	21 0.8×	14	384
H. W. R�diger Germany	13	180 0.9×	137 1.8×	45 0.6×	22 0.6×	41 1.5×	31	362
Samuel J. DiMari United States	11	185 1.0×	23 0.3×	14 0.2×	18 0.5×	43 1.5×	18	445
Abdelali Lehraiki France	10	296 1.5×	102 1.4×	6 0.1×	18 0.5×	42 1.5×	12	590
Lei Dang China	13	252 1.3×	118 1.6×	9 0.1×	281 7.6×	16 0.6×	18	599
Katherine E. Vest United States	12	327 1.7×	38 0.5×	35 0.5×	26 0.7×	21 0.8×	18	556

Countries citing papers authored by Jun Ye

Since Specialization

Citations

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

Fields of papers citing papers by Jun Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ye

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xu, Xiaoming, Yongzhen Wu, Jun Ye, et al.. (2025). Unravelling OsPHT2 ;1 function in Chloroplast Phosphorus Homeostasis and Photosynthetic Efficiency under Low Phosphorus Stress in Rice. Physiologia Plantarum. 177(1). e70082–e70082. 1 indexed citations

Li, Kaiyuan, et al.. (2024). Elucidating ferroptosis mechanisms in heart failure through transcriptomics, single-cell sequencing, and experimental validation. Cellular Signalling. 124. 111416–111416. 2 indexed citations

Yan, Yu, et al.. (2023). Identification and characterization of a phosphinothricin N-acetyltransferase from Enterobacter LSJC7. Pesticide Biochemistry and Physiology. 193. 105464–105464. 1 indexed citations

Yao, Xue, Yi Wu, Tengfei Xiao, et al.. (2022). T-cell-specific Sel1L deletion exacerbates EAE by promoting Th1/Th17-cell differentiation. Molecular Immunology. 149. 13–26. 8 indexed citations

Liu, Hui, Daniel Mullan, Shancen Zhao, et al.. (2022). Genomic regions controlling yield-related traits in spring wheat: a mini review and a case study for rainfed environments in Australia and China. Genomics. 114(2). 110268–110268. 5 indexed citations

Ye, Jun, et al.. (2020). RNA sequence analysis of dermal papilla cells’ regeneration in 3D culture. Journal of Cellular and Molecular Medicine. 24(22). 13421–13430. 11 indexed citations

Ye, Jun, et al.. (2020). OsIRO3 Plays an Essential Role in Iron Deficiency Responses and Regulates Iron Homeostasis in Rice. Plants. 9(9). 1095–1095. 30 indexed citations

Lin, Bojie, et al.. (2020). LncRNA-XIST promotes dermal papilla induced hair follicle regeneration by targeting miR-424 to activate hedgehog signaling. Cellular Signalling. 72. 109623–109623. 19 indexed citations

Ye, Jun, et al.. (2020). The effect of hypoxia on the proliferation capacity of dermal papilla cell by regulating lactate dehydrogenase. Journal of Cosmetic Dermatology. 20(2). 684–690. 14 indexed citations

10.

Lü, Huimin, Ling Zhang, Shan Lu, et al.. (2020). miR‑25 expression is upregulated in pancreatic ductal adenocarcinoma and promotes cell proliferation by targeting ABI2. Experimental and Therapeutic Medicine. 19(5). 3384–3390. 6 indexed citations

11.

Wang, Caihua, Liming Shao, Pan Chi, et al.. (2019). Elevated level of mitochondrial reactive oxygen species via fatty acid β-oxidation in cancer stem cells promotes cancer metastasis by inducing epithelial–mesenchymal transition. Stem Cell Research & Therapy. 10(1). 175–175. 84 indexed citations

12.

Zhang, Xia, Jun Ye, Nan Shen, et al.. (2019). In vitro residual activities in 20 variants of phenylalanine hydroxylase and genotype-phenotype correlation in phenylketonuria patients. Gene. 707. 239–245. 8 indexed citations

13.

Xu, Feng, Lianshu Han, Huiwen Zhang, et al.. (2019). [Retrospective analysis on clinical data and genetic variations of patients with beta-ketothiolase deficiency].. PubMed. 36(3). 199–202. 2 indexed citations

14.

Wang, Ruifang, Nan Shen, Jun Ye, et al.. (2018). Mutation spectrum of hyperphenylalaninemia candidate genes and the genotype-phenotype correlation in the Chinese population. Clinica Chimica Acta. 481. 132–138. 23 indexed citations

15.

Zhang, Yingjiao, Song‐Can Chen, Xiuli Hao, et al.. (2016). Transcriptomic Analysis Reveals Adaptive Responses of an Enterobacteriaceae Strain LSJC7 to Arsenic Exposure. Frontiers in Microbiology. 7. 636–636. 26 indexed citations

16.

Liu, Huan, et al.. (2016). A new case of malonyl‐CoA decarboxylase deficiency with mild clinical features. American Journal of Medical Genetics Part A. 170(5). 1347–1351. 9 indexed citations

17.

Zhao, Shuai, et al.. (2015). Evodiamine inhibits proliferation and induces apoptosis in gastric cancer cells. Oncology Letters. 10(1). 367–371. 28 indexed citations

18.

Zhang, Huiwen, Yu Wang, Jun Ye, et al.. (2015). A pilot study of gene testing of genetic bone dysplasia using targeted next-generation sequencing. Journal of Human Genetics. 60(12). 769–776. 19 indexed citations

19.

Niu, Dau‐Ming, Jun Ye, Jian‐Hui Jiang, et al.. (2012). Mutation spectrum of and founder effects affecting the PTS gene in East Asian populations. Journal of Human Genetics. 57(2). 145–152. 31 indexed citations

20.

Hu, Yuhui, Jun Ye, Wenjuan Qiu, et al.. (2008). [Gene mutation analysis in patients with propionic acidemia].. PubMed. 46(6). 416–20. 4 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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