Junko Sakagami

1.7k total citations
13 papers, 1.4k citations indexed

About

Junko Sakagami is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Junko Sakagami has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Junko Sakagami's work include Muscle Physiology and Disorders (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Nuclear Receptors and Signaling (2 papers). Junko Sakagami is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Nuclear Receptors and Signaling (2 papers). Junko Sakagami collaborates with scholars based in Japan, United States and Singapore. Junko Sakagami's co-authors include Katsuko Sudo, Masahide Asano, Yoichiro Iwakura, Norihiro Tada, Shunichi Miyazaki, Tomohide Shikano, Tatsuya Ohnuki, Yoshikatsu Uematsu, Keisuke Kaji and Shoji Oda and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Nature Neuroscience.

In The Last Decade

Junko Sakagami

13 papers receiving 1.3k citations

Peers

Junko Sakagami
Hope O. Sweet United States
John R. Bermingham United States
Jeff Mann United States
E A Prediger United States
Ingolf Bach United States
Roland Nagy Netherlands
Richard Akeson United States
Hope O. Sweet United States
Junko Sakagami
Citations per year, relative to Junko Sakagami Junko Sakagami (= 1×) peers Hope O. Sweet

Countries citing papers authored by Junko Sakagami

Since Specialization
Citations

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

Fields of papers citing papers by Junko Sakagami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Sakagami

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Sakagami. A scholar is included among the top collaborators of Junko Sakagami 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 Junko Sakagami. Junko Sakagami 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
3.
Kyuuma, Masanao, Keiichi Inoue, Yuki Hata, et al.. (2021). Mitophagy reporter mouse analysis reveals increased mitophagy activity in disuse‐induced muscle atrophy. Journal of Cellular Physiology. 236(11). 7612–7624. 23 indexed citations
4.
Tsuritani, Katsuki, Junko Takeda, Junko Sakagami, et al.. (2009). Cytokine Receptor-Like Factor 1 is Highly Expressed in Damaged Human Knee Osteoarthritic Cartilage and Involved in Osteoarthritis Downstream of TGF-β. Calcified Tissue International. 86(1). 47–57. 28 indexed citations
5.
Ishii, Aiko, Junko Sakagami, Shingo Iwata, et al.. (2007). Accumulation of phosphorylated α‐synuclein in dopaminergic neurons of transgenic mice that express human α‐synuclein. Journal of Neuroscience Research. 85(8). 1819–1825. 69 indexed citations
6.
Ishii, Aiko, Shingo Iwata, Junko Sakagami, et al.. (2006). Selective loss of nigral dopamine neurons induced by overexpression of truncated human α-synuclein in mice. Neurobiology of Aging. 29(4). 574–585. 121 indexed citations
7.
Saito, Takeshi, Akinori Okumura, Hisami Watanabe, et al.. (2004). Increase in Hepatic NKT Cells in Leukocyte Cell-Derived Chemotaxin 2-Deficient Mice Contributes to Severe Concanavalin A-Induced Hepatitis. The Journal of Immunology. 173(1). 579–585. 73 indexed citations
8.
Sakamaki, Kazuhiro, Takayoshi Inoue, Masahide Asano, et al.. (2002). Ex vivo whole-embryo culture of caspase-8-deficient embryos normalize their aberrant phenotypes in the developing neural tube and heart. Cell Death and Differentiation. 9(11). 1196–1206. 101 indexed citations
9.
Kurisaki, Tomohiro, Aki Masuda, Katsuko Sudo, et al.. (2002). Phenotypic Analysis of Meltrin α (ADAM12)-Deficient Mice: Involvement of Meltrin α in Adipogenesis and Myogenesis. Molecular and Cellular Biology. 23(1). 55–61. 130 indexed citations
10.
Yamamoto, S, Shogo Oka, Mitsuhiro Inoue, et al.. (2002). Mice Deficient in Nervous System-specific Carbohydrate Epitope HNK-1 Exhibit Impaired Synaptic Plasticity and Spatial Learning. Journal of Biological Chemistry. 277(30). 27227–27231. 118 indexed citations
11.
Ozaki, Hidenori, Yoko Watanabe, Katsumasa Takahashi, et al.. (2001). Six4 , a Putative myogenin Gene Regulator, Is Not Essential for Mouse Embryonal Development. Molecular and Cellular Biology. 21(10). 3343–3350. 97 indexed citations
12.
Serizawa, Shou, Tomohiro Ishii, Hiroko Nakatani, et al.. (2000). Mutually exclusive expression of odorant receptor transgenes. Nature Neuroscience. 3(7). 687–693. 196 indexed citations
13.
Kaji, Keisuke, Shoji Oda, Tomohide Shikano, et al.. (2000). The gamete fusion process is defective in eggs of Cd9-deficient mice. Nature Genetics. 24(3). 279–282. 383 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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