Ji‐Ming Ye

4.0k total citations · 1 hit paper
79 papers, 3.3k citations indexed

About

Ji‐Ming Ye is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Ji‐Ming Ye has authored 79 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 30 papers in Physiology and 25 papers in Epidemiology. Recurrent topics in Ji‐Ming Ye's work include Adipose Tissue and Metabolism (26 papers), Metabolism, Diabetes, and Cancer (24 papers) and Diet, Metabolism, and Disease (16 papers). Ji‐Ming Ye is often cited by papers focused on Adipose Tissue and Metabolism (26 papers), Metabolism, Diabetes, and Cancer (24 papers) and Diet, Metabolism, and Disease (16 papers). Ji‐Ming Ye collaborates with scholars based in Australia, China and United States. Ji‐Ming Ye's co-authors include Edward W. Kraegen, Gregory J. Cooney, Miguel A. Iglesias, Xiao‐Yi Zeng, David G. Watson, Eric Q. Colquhoun, Georgia Frangioudakis, Ruo‐Qiong Sun, Hao Wang and Stanley M. H. Chan and has published in prestigious journals such as PLoS ONE, Diabetes and The FASEB Journal.

In The Last Decade

Ji‐Ming Ye

76 papers receiving 3.3k citations

Hit Papers

align trajectories

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.

Gut Akkermansia muciniphila ameliorates metabolic dysfunction-associated fatty liver disease by regulating the metabolism of L-aspartate via gut-liver axis

2021 242 citations Ji‐Ming Ye et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ji‐Ming Ye Australia	32	1.8k	1.1k	877	678	511	79	3.3k
Giovanni Solinas Switzerland	27	1.7k 1.0×	1.4k 1.2×	1.2k 1.4×	406 0.6×	402 0.8×	45	3.9k
Takhar Kasumov United States	35	2.0k 1.1×	1.1k 1.0×	1000 1.1×	615 0.9×	442 0.9×	101	3.6k
Myoung Sook Han United States	21	1.3k 0.8×	892 0.8×	1.4k 1.5×	426 0.6×	676 1.3×	24	3.4k
Colleen M. Croniger United States	34	1.9k 1.1×	1.1k 1.0×	766 0.9×	445 0.7×	543 1.1×	71	3.8k
Agnieszka Błachnio‐Zabielska Poland	32	1.5k 0.9×	1.1k 1.0×	643 0.7×	356 0.5×	441 0.9×	95	2.9k
Rebecca Baillie United States	25	1.9k 1.1×	1.0k 1.0×	1.2k 1.4×	618 0.9×	430 0.8×	66	3.7k
Noriyuki Sonoda Japan	32	1.9k 1.1×	1.0k 0.9×	534 0.6×	874 1.3×	692 1.4×	58	4.5k
Bronwyn D. Hegarty Australia	19	2.1k 1.2×	970 0.9×	678 0.8×	562 0.8×	1.0k 2.0×	30	3.5k
Morgan D. Fullerton Canada	31	2.7k 1.5×	1.2k 1.1×	1.3k 1.5×	707 1.0×	1.0k 2.0×	62	4.6k
Maaike H. Oosterveer Netherlands	25	1.8k 1.0×	1.4k 1.2×	1.1k 1.2×	558 0.8×	751 1.5×	54	3.9k

Countries citing papers authored by Ji‐Ming Ye

Since Specialization

Citations

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

Fields of papers citing papers by Ji‐Ming Ye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji‐Ming Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Ming Ye. A scholar is included among the top collaborators of Ji‐Ming 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 Ji‐Ming Ye. Ji‐Ming Ye 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

Ye, Ji‐Ming, et al.. (2026). [Retracted] DDAH2 alleviates myocardial fibrosis in diabetic cardiomyopathy through activation of the DDAH/ADMA/NOS/NO pathway in rats. International Journal of Molecular Medicine. 57(3). 1–1.

Li, Bing, Weiming Fang, Xiu Zhou, et al.. (2024). Oral matrine alleviates CCl4-induced liver fibrosis via preserved HSP72 from modulated gut microbiota. Biomedicine & Pharmacotherapy. 178. 117262–117262. 4 indexed citations

Hou, Ya‐Jun, Xuan Zhao, Yalin Wang, et al.. (2023). Oleuropein-Rich Jasminum Grandiflorum Flower Extract Regulates the LKB1-PGC-1α Axis Related to the Attenuation of Hepatocellular Lipid Dysmetabolism. Nutrients. 16(1). 58–58. 2 indexed citations

Ou, Yi, Min Yao, Min Chen, et al.. (2023). Naproxen-Derived New Compound Inhibits the NF-κB, MAPK and PI3K/Akt Signaling Pathways Synergistically with Resveratrol in RAW264.7 Cells. Molecules. 28(8). 3395–3395. 3 indexed citations

Yu, Xuhua, Huei Jiunn Seow, Hao Wang, et al.. (2019). Matrine reduces cigarette smoke-induced airway neutrophilic inflammation by enhancing neutrophil apoptosis. Clinical Science. 133(4). 551–564. 32 indexed citations

Zhou, Tingting, Tong Zhao, Fei Ma, et al.. (2019). Small molecule IVQ, as a prodrug of gluconeogenesis inhibitor QVO, efficiently ameliorates glucose homeostasis in type 2 diabetic mice. Acta Pharmacologica Sinica. 40(9). 1193–1204. 7 indexed citations

Zhou, Xiu, Xiao‐Yi Zeng, Dongli Li, et al.. (2019). Characterization of the Therapeutic Profile of Albiflorin for the Metabolic Syndrome. Frontiers in Pharmacology. 10. 1151–1151. 17 indexed citations

Fan, Lei, Xiaoxia Qiu, Zhiyuan Zhu, et al.. (2019). Nitazoxanide, an anti-parasitic drug, efficiently ameliorates learning and memory impairments in AD model mice. Acta Pharmacologica Sinica. 40(10). 1279–1291. 34 indexed citations

Zeng, Xiao‐Yi, Xiu Zhou, Songpei Li, et al.. (2018). Repurposing matrine for the treatment of hepatosteatosis and associated disorders in glucose homeostasis in mice. Acta Pharmacologica Sinica. 39(11). 1753–1759. 17 indexed citations

10.

Cai, Jie, Chanjuan Li, Zhihong Liu, et al.. (2017). Predicting DPP-IV inhibitors with machine learning approaches. Journal of Computer-Aided Molecular Design. 31(4). 393–402. 30 indexed citations

11.

Besford, Quinn A., Xiao‐Yi Zeng, Ji‐Ming Ye, & Angus Gray–Weale. (2015). Liver glycogen in type 2 diabetic mice is randomly branched as enlarged aggregates with blunted glucose release. Glycoconjugate Journal. 33(1). 41–51. 22 indexed citations

12.

Huang, Jianbin, Lin Zhou, Nathan J. Pavlos, et al.. (2014). Triptolide inhibits osteoclast formation, bone resorption, RANKL-mediated NF-қB activation and titanium particle-induced osteolysis in a mouse model. Molecular and Cellular Endocrinology. 399. 346–353. 37 indexed citations

13.

Iseli, Tristan J., Nigel Turner, Xiao‐Yi Zeng, et al.. (2013). Activation of AMPK by Bitter Melon Triterpenoids Involves CaMKKβ. PLoS ONE. 8(4). e62309–e62309. 51 indexed citations

14.

Gu, Yuan, Xiaoxiao Sun, Ji‐Ming Ye, et al.. (2012). Arctigenin alleviates ER stress via activating AMPK. Acta Pharmacologica Sinica. 33(7). 941–952. 28 indexed citations

15.

Zeng, Xiao‐Yi, Xiu Zhou, Jun Xu, et al.. (2012). Screening for the efficacy on lipid accumulation in 3T3-L1 cells is an effective tool for the identification of new anti-diabetic compounds. Biochemical Pharmacology. 84(6). 830–837. 42 indexed citations

16.

Shi, Yan‐Chuan, Shu Lin, Iris P.L. Wong, et al.. (2010). NPY Neuron-Specific Y2 Receptors Regulate Adipose Tissue and Trabecular Bone but Not Cortical Bone Homeostasis in Mice. PLoS ONE. 5(6). e11361–e11361. 81 indexed citations

17.

Li, Haiyan, Leonie K. Heilbronn, Ann M. Poynten, et al.. (2008). Islet‐1: A Potentially Important Role for an Islet Cell Gene in Visceral Fat. Obesity. 16(2). 356–362. 10 indexed citations

18.

Song, Guangyao, et al.. (2006). HIGH‐FAT FEEDING REDUCES ENDOTHELIUM‐DEPENDENT VASODILATION IN RATS: DIFFERENTIAL MECHANISMS FOR SATURATED AND UNSATURATED FATTY ACIDS?. Clinical and Experimental Pharmacology and Physiology. 33(8). 708–713. 16 indexed citations

19.

Ye, Ji‐Ming, Eric Q. Colquhoun, & Michael G. Clark. (1990). A comparison of vasopressin and noradrenaline on oxygen uptake by perfused rat hindlimb, kidney, intestine and mesenteric arcade suggests that it is in part due to contractile work by blood vessels. General Pharmacology The Vascular System. 21(5). 805–810. 37 indexed citations

20.

Colquhoun, Eric Q., Manthinda Hettiarachchi, Ji‐Ming Ye, Stephen Rattigan, & Michael G. Clark. (1990). Inhibition by vasodilators of noradrenaline and vasoconstrictor-mediated, but not skeletal muscle contraction-induced oxygen uptake in the perfused rat hindlimb; implications for non-shivering thermogenesis in muscle tissue. General Pharmacology The Vascular System. 21(1). 141–148. 41 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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