Ge Rile

407 total citations
9 papers, 340 citations indexed

About

Ge Rile is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Ge Rile has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Pharmacology. Recurrent topics in Ge Rile's work include Sphingolipid Metabolism and Signaling (5 papers), Erythrocyte Function and Pathophysiology (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Ge Rile is often cited by papers focused on Sphingolipid Metabolism and Signaling (5 papers), Erythrocyte Function and Pathophysiology (3 papers) and Lipid Membrane Structure and Behavior (3 papers). Ge Rile collaborates with scholars based in Japan, China and Thailand. Ge Rile's co-authors include Yutaka Yatomi, Yukio Ozaki, Tsukasa Ohmori, Kaneo Satoh, Hirotaka Okamoto, Gábor Tigyi, Shoji Kume, Yasuyuki Igarashi, Fuminori Kazama and Takamitsu Sano and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Blood.

In The Last Decade

Ge Rile

8 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ge Rile Japan	7	287	107	44	42	35	9	340
Shu Shi United States	7	214 0.7×	52 0.5×	93 2.1×	63 1.5×	11 0.3×	13	349
Zhenhua Sui China	11	180 0.6×	87 0.8×	12 0.3×	38 0.9×	20 0.6×	16	316
Barbara Zemann Austria	8	402 1.4×	117 1.1×	126 2.9×	113 2.7×	32 0.9×	8	514
Maria Fernandes Canada	6	226 0.8×	62 0.6×	75 1.7×	46 1.1×	17 0.5×	7	324
Edwin C.J.M. de Vet Netherlands	10	304 1.1×	19 0.2×	52 1.2×	51 1.2×	31 0.9×	12	383
Ulf Schulze Germany	10	188 0.7×	152 1.4×	20 0.5×	21 0.5×	13 0.4×	13	340
Ayça Erbilgin United States	7	132 0.5×	43 0.4×	74 1.7×	14 0.3×	11 0.3×	8	242
Fiona Rossi United Kingdom	8	101 0.4×	56 0.5×	96 2.2×	27 0.6×	38 1.1×	18	225
Guohui Ren United States	12	158 0.6×	45 0.4×	97 2.2×	9 0.2×	34 1.0×	18	326
Luise Stempka Germany	8	358 1.2×	49 0.5×	47 1.1×	19 0.5×	8 0.2×	10	450

Countries citing papers authored by Ge Rile

Since Specialization

Citations

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

Fields of papers citing papers by Ge Rile

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Rile

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Rile. A scholar is included among the top collaborators of Ge Rile 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 Ge Rile. Ge Rile 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:

9 of 9 papers shown

1.

Rile, Ge, Haiyan Zhao, Qun Tang, et al.. (2024). A novel α-mangostin derivative synergistic to antibiotics against MRSA with unique mechanisms. Microbiology Spectrum. 12(12). e0163124–e0163124. 4 indexed citations

2.

Chandarajoti, Kasemsiri, Ge Rile, Keyu Zhang, et al.. (2024). Discovery of xanthone‐based nitric oxide donors targeting biofilm clearance. Archiv der Pharmazie. 358(1). e2400793–e2400793.

3.

Decano, Julius L., Enrico Maiorino, Joan T. Matamalas, et al.. (2023). Cellular Heterogeneity of Activated Primary Human Macrophages and Associated Drug–Gene Networks: From Biology to Precision Therapeutics. Circulation. 148(19). 1459–1478. 15 indexed citations

4.

Cui, Hongwei, et al.. (2014). Risk factors for the development of essential hypertension in a Mongolian population of China: a case-control study. Genetics and Molecular Research. 13(2). 3283–3291. 11 indexed citations

5.

Rile, Ge, Yutaka Yatomi, Toshiro Takafuta, & Yukio Ozaki. (2003). Ceramide 1-Phosphate Formation in Neutrophils. Acta Haematologica. 109(2). 76–83. 35 indexed citations

6.

Ohmori, Tsukasa, Yutaka Yatomi, Hirotaka Okamoto, et al.. (2001). Gi-mediated Cas Tyrosine Phosphorylation in Vascular Endothelial Cells Stimulated with Sphingosine 1-Phosphate. Journal of Biological Chemistry. 276(7). 5274–5280. 59 indexed citations

7.

Miura, Yoshie, et al.. (2000). Rho-Mediated Phosphorylation of Focal Adhesion Kinase and Myosin Light Chain in Human Endothelial Cells Stimulated with Sphingosine 1-Phosphate, a Bioactive Lysophospholipid Released from Activated Platelets. The Journal of Biochemistry. 127(5). 909–914. 25 indexed citations

8.

Yatomi, Yutaka, Tsukasa Ohmori, Ge Rile, et al.. (2000). Sphingosine 1-phosphate as a major bioactive lysophospholipid that is released from platelets and interacts with endothelial cells. Blood. 96(10). 3431–3438. 179 indexed citations

9.

Yatomi, Yutaka, Tsukasa Ohmori, Ge Rile, et al.. (2000). Sphingosine 1-phosphate as a major bioactive lysophospholipid that is released from platelets and interacts with endothelial cells. Blood. 96(10). 3431–3438. 12 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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