Yue‐Mei Jiang

607 total citations
13 papers, 492 citations indexed

About

Yue‐Mei Jiang is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Yue‐Mei Jiang has authored 13 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in Yue‐Mei Jiang's work include Herpesvirus Infections and Treatments (5 papers), Virus-based gene therapy research (4 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Yue‐Mei Jiang is often cited by papers focused on Herpesvirus Infections and Treatments (5 papers), Virus-based gene therapy research (4 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Yue‐Mei Jiang collaborates with scholars based in Japan and China. Yue‐Mei Jiang's co-authors include Masahisa Katsuno, Hiroaki Adachi, Gen Sobue, Fumiaki Tanaka, Shinsuke Ishigaki, Manabu Doyu, Masahiko Yamamoto, Mari Yoshida, Yoshio Hashizume and Jun‐ichi Niwa and has published in prestigious journals such as Nature Medicine, Annals of Neurology and Biochemical and Biophysical Research Communications.

In The Last Decade

Yue‐Mei Jiang

13 papers receiving 484 citations

Peers

Yue‐Mei Jiang
Yue‐Mei Jiang
Citations per year, relative to Yue‐Mei Jiang Yue‐Mei Jiang (= 1×) peers Ryota Kunita

Countries citing papers authored by Yue‐Mei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yue‐Mei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue‐Mei Jiang. 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 Yue‐Mei Jiang. The network helps show where Yue‐Mei Jiang may publish in the future.

Co-authorship network of co-authors of Yue‐Mei Jiang

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

All Works

13 of 13 papers shown
1.
Wang, Junfu, et al.. (2022). Screening of Serum Exosomal miRNAs as Diagnostic Biomarkers for Gastric Cancer Using Small RNA Sequencing. Journal of Oncology. 2022. 1–17. 11 indexed citations
2.
Yuan, Guohui, et al.. (2020). Capn4 contributes to tumor invasion and metastasis in gastric cancer via activation of the Wnt/β-catenin/MMP9 signalling pathways. Experimental Cell Research. 395(2). 112220–112220. 17 indexed citations
3.
Zhou, Demin, et al.. (2018). Barrier-based Longitudinal Connectivity Index for Managing Urban Rivers. Water. 10(11). 1701–1701. 18 indexed citations
4.
Jiang, Yue‐Mei, et al.. (2015). [Translucency of dental zirconia ceramics sintered in conventional and microwave ovens].. PubMed Central. 33(6). 642–5. 2 indexed citations
5.
Ding, Ying, Hiroaki Adachi, Masahisa Katsuno, et al.. (2015). Overexpression of hepatocyte growth factor in SBMA model mice has an additive effect on combination therapy with castration. Biochemical and Biophysical Research Communications. 468(4). 677–683. 5 indexed citations
6.
Qiang, Qiang, Hiroaki Adachi, Zhe Huang, et al.. (2013). Genistein, a natural product derived from soybeans, ameliorates polyglutamine‐mediated motor neuron disease. Journal of Neurochemistry. 126(1). 122–130. 11 indexed citations
7.
Miyazaki, Yu, Hiroaki Adachi, Masahisa Katsuno, et al.. (2012). Viral delivery of miR-196a ameliorates the SBMA phenotype via the silencing of CELF2. Nature Medicine. 18(7). 1136–1141. 118 indexed citations
8.
Jiang, Yue‐Mei, Masahiko Yamamoto, Fumiaki Tanaka, et al.. (2007). Gene Expressions Specifically Detected in Motor Neurons (Dynactin 1, Early Growth Response 3, Acetyl-CoA Transporter, Death Receptor 5, and Cyclin C) Differentially Correlate to Pathologic Markers in Sporadic Amyotrophic Lateral Sclerosis. Journal of Neuropathology & Experimental Neurology. 66(7). 617–627. 36 indexed citations
9.
Jiang, Yue‐Mei, Masahiko Yamamoto, Yasushi Kobayashi, et al.. (2005). Gene expression profile of spinal motor neurons in sporadic amyotrophic lateral sclerosis. Annals of Neurology. 57(2). 236–251. 203 indexed citations
10.
Yamada, Hiroshi, et al.. (1999). Intracellular localization of the UL31 protein of herpes simplex virus type 2. Archives of Virology. 144(10). 1923–1935. 33 indexed citations
11.
Yamada, Hiroshi, et al.. (1999). Nucleolar localization of the UL3 protein of herpes simplex virus type 2. Journal of General Virology. 80(8). 2157–2164. 19 indexed citations
12.
Yamada, Hiroshi, Yue‐Mei Jiang, Kentaro Wada, et al.. (1998). Characterization of the UL4 gene product of herpes simplex virus type 2. Archives of Virology. 143(6). 1199–1207. 9 indexed citations
13.
Jiang, Yue‐Mei, Tohru Daikoku, Mitsuaki Yamamoto, Tsuneo Morishima, & Yukihiro Nishiyama. (1995). Growth and Cytopathogenicity of Herpes Simplex Virus in a Macrophage Cell Line, RAW264: A Good Indicator of Intraperitoneal Pathogenicity. Microbiology and Immunology. 39(11). 905–909. 10 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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