Yasuhiro Hashimoto

2.0k total citations
59 papers, 1.6k citations indexed

About

Yasuhiro Hashimoto is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Yasuhiro Hashimoto has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Immunology and 15 papers in Physiology. Recurrent topics in Yasuhiro Hashimoto's work include Alzheimer's disease research and treatments (12 papers), Glycosylation and Glycoproteins Research (11 papers) and T-cell and B-cell Immunology (10 papers). Yasuhiro Hashimoto is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Glycosylation and Glycoproteins Research (11 papers) and T-cell and B-cell Immunology (10 papers). Yasuhiro Hashimoto collaborates with scholars based in Japan, United States and Spain. Yasuhiro Hashimoto's co-authors include Takaomi C. Saido, Shinobu Kitazume, Yoshiki Yamaguchi, Nobuhisa Iwata, Yoshinobu Kariya, Takashi Saito, Masao Takahashi, Fumikazu Kanamaru, Mark I. Greene and Shinichi Kikkawa and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Yasuhiro Hashimoto

58 papers receiving 1.6k citations

Peers

Yasuhiro Hashimoto
Xiaoshan Min United States
Zehong Cao United States
Sailaja Paruchuri United States
Michael A. Pleiss United States
John L. Stebbins United States
Tommy A. Brock United States
Anna Bratasz United States
Xiaoshan Min United States
Yasuhiro Hashimoto
Citations per year, relative to Yasuhiro Hashimoto Yasuhiro Hashimoto (= 1×) peers Xiaoshan Min

Countries citing papers authored by Yasuhiro Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Hashimoto

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

All Works

20 of 20 papers shown
1.
Murakami, Takenobu, Mitsunari Abe, Hitoshi Kubo, et al.. (2024). Abnormal motor cortical plasticity as a useful neurophysiological biomarker for Alzheimer’s disease pathology. Clinical Neurophysiology. 158. 170–179. 3 indexed citations
2.
Goto, Aya, Yoshikazu Ugawa, Katsutoshi Furukawa, et al.. (2023). Brain-Derived Major Glycoproteins Are Possible Biomarkers for Altered Metabolism of Cerebrospinal Fluid in Neurological Diseases. International Journal of Molecular Sciences. 24(7). 6084–6084. 1 indexed citations
3.
Fujii, Masazumi, et al.. (2020). Soluble protein tyrosine phosphatase receptor type Z (PTPRZ) in cerebrospinal fluid is a potential diagnostic marker for glioma. Neuro-Oncology Advances. 2(1). vdaa055–vdaa055. 8 indexed citations
4.
Suzuki, Yuichi, Koichi Hashimoto, Hiromi Ito, et al.. (2019). Ratio of Alpha 2-Macroglobulin Levels in Cerebrospinal Fluid and Serum: An Expression of Neuroinflammation in Acute Disseminated Encephalomyelitis. Pediatric Neurology. 98. 61–67. 6 indexed citations
5.
Kariya, Yukiko, et al.. (2018). β4-Integrin/PI3K Signaling Promotes Tumor Progression through the Galectin-3– N -Glycan Complex. Molecular Cancer Research. 16(6). 1024–1034. 33 indexed citations
6.
Matsumoto, Yuka, Hiromi Ito, Kiyoshi Saito, et al.. (2017). A unique glycan-isoform of transferrin in cerebrospinal fluid: A potential diagnostic marker for neurological diseases. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(10). 2473–2478. 25 indexed citations
7.
Ito, Hiromi, Kenneth E. Nollet, Yoshiki Yamaguchi, et al.. (2016). Subgroup differences in ‘brain-type’ transferrin and α-synuclein in Parkinson’s disease and multiple system atrophy. The Journal of Biochemistry. 160(2). 87–91. 7 indexed citations
8.
Kariya, Yoshinobu, Yukiko Kariya, Toshie Saito, et al.. (2015). Increased cerebrospinal fluid osteopontin levels and its involvement in macrophage infiltration in neuromyelitis optica. PubMed. 3. 126–134. 18 indexed citations
9.
Kitazume, Shinobu, Yuriko Tachida, Masaki Kato, et al.. (2010). Brain Endothelial Cells Produce Amyloid β from Amyloid Precursor Protein 770 and Preferentially Secrete the O-Glycosylated Form. Journal of Biological Chemistry. 285(51). 40097–40103. 90 indexed citations
10.
Hayakawa, Tomohiro, Asami Makino, Motohide Murate, et al.. (2006). pH-dependent Formation of Membranous Cytoplasmic Body-Like Structure of Ganglioside GM1/Bis(Monoacylglycero)Phosphate Mixed Membranes. Biophysical Journal. 92(1). L13–L15. 21 indexed citations
11.
Sakuraba, Hitoshi, Yasunori Chiba, Masaharu Kotani, et al.. (2006). Corrective effect on Fabry mice of yeast recombinant human α-galactosidase with N-linked sugar chains suitable for lysosomal delivery. Journal of Human Genetics. 51(4). 341–352. 19 indexed citations
12.
Nakagawa, Kazuhiro, Shinobu Kitazume, Ritsuko Oka, et al.. (2006). Sialylation enhances the secretion of neurotoxic amyloid‐β peptides. Journal of Neurochemistry. 96(4). 924–933. 67 indexed citations
13.
Kitazume, Shinobu, Yuriko Tachida, Ritsuko Oka, et al.. (2006). Screening a series of sialyltransferases for possible BACE1 substrates. Glycoconjugate Journal. 23(5-6). 437–441. 14 indexed citations
14.
Sato, Mitsuru, Noriko M. Tsuji, Hideo Gotoh, et al.. (2001). Overexpression of the Wiskott-Aldrich Syndrome Protein N-Terminal Domain in Transgenic Mice Inhibits T Cell Proliferative Responses Via TCR Signaling Without Affecting Cytoskeletal Rearrangements. The Journal of Immunology. 167(8). 4701–4709. 20 indexed citations
16.
Satake, Masanobu, Shintaro Nomura, Yuko Yamaguchi‐Iwai, et al.. (1995). Expression of the Runt Domain-Encoding PEBP2 α Genes in T cells during Thymic Development. Molecular and Cellular Biology. 15(3). 1662–1670. 146 indexed citations
17.
Bhandoola, Avinash, et al.. (1994). Delayed allograft rejection by T cell receptor Vβ8.1 transgenic mice peripherally tolerized to Mls‐1. European Journal of Immunology. 24(7). 1710–1713. 7 indexed citations
18.
Hashimoto, Yasuhiro, Allan M. Maxam, & Mark I. Greene. (1990). Identification of tissue specific nuclear proteins: DNA sequence and protein binding regions in the T cell receptor beta J-C intron. Nucleic Acids Research. 18(10). 3027–3027. 6 indexed citations
19.
Yui, Katsuyuki, Yasuhiro Hashimoto, & Mark I. Greene. (1988). T cell receptors of autoimmune mice: Functional and molecular analysis of novel T cell subsets in C3H-gld/gld mice. Immunologic Research. 7(2). 173–188. 9 indexed citations
20.
Yui, Katsuyuki, Yasuhiro Hashimoto, Sarah Wadsworth, & M I Greene. (1987). Characterization of Lyt-2-, L3T4- class I-specific cytolytic clones in C3H-gld/gld mice. Implications for functions of accessory molecules and programmed development.. The Journal of Experimental Medicine. 166(4). 1026–1040. 15 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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