Yu Nagashima

1.3k total citations
35 papers, 923 citations indexed

About

Yu Nagashima is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yu Nagashima has authored 35 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 10 papers in Molecular Biology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yu Nagashima's work include Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Genetic Neurodegenerative Diseases (6 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Yu Nagashima is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Genetic Neurodegenerative Diseases (6 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Yu Nagashima collaborates with scholars based in Japan, Sweden and United States. Yu Nagashima's co-authors include Mako Takami, Yasuo Ihara, Seiko Ishihara, Maho Morishima‐Kawashima, Y Sano, Satoru Funamoto, Atsushi Iwata, Shoji Tsuji, Tatsushi Toda and Tatsuo Mano and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and Journal of Neuroscience.

In The Last Decade

Yu Nagashima

32 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Nagashima Japan 13 426 396 155 140 137 35 923
Hanzhi Zhao United States 14 273 0.6× 675 1.7× 328 2.1× 68 0.5× 168 1.2× 22 1.2k
Samantha B. Nicholls United States 16 850 2.0× 526 1.3× 369 2.4× 146 1.0× 51 0.4× 20 1.2k
Chengyu Zou China 17 407 1.0× 788 2.0× 246 1.6× 83 0.6× 41 0.3× 25 1.6k
Michelle E. King United States 13 640 1.5× 567 1.4× 211 1.4× 140 1.0× 49 0.4× 20 1.1k
Justin D. Boyd United States 17 176 0.4× 484 1.2× 152 1.0× 36 0.3× 51 0.4× 24 1.1k
Andrew Browne United States 19 194 0.5× 381 1.0× 164 1.1× 54 0.4× 298 2.2× 66 1.2k
Brandon Nichols United States 12 258 0.6× 226 0.6× 119 0.8× 57 0.4× 177 1.3× 16 772
Gerda Mitteregger Germany 22 833 2.0× 1.1k 2.8× 443 2.9× 152 1.1× 55 0.4× 32 2.2k
Dennis Lindau Germany 7 578 1.4× 497 1.3× 198 1.3× 90 0.6× 94 0.7× 11 1.6k
Yukiko Hori Japan 20 964 2.3× 1.0k 2.6× 242 1.6× 260 1.9× 125 0.9× 41 2.0k

Countries citing papers authored by Yu Nagashima

Since Specialization
Citations

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

Fields of papers citing papers by Yu Nagashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Nagashima

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Nagashima. A scholar is included among the top collaborators of Yu Nagashima 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 Yu Nagashima. Yu Nagashima 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.
Miyazaki, Masashi, et al.. (2025). Mid-to-long-term outcomes of posterior-stabilized type total knee arthroplasty in asian patients: A single-center retrospective cohort study. Journal of Orthopaedics. 67. 248–252. 1 indexed citations
2.
Nagashima, Yu, et al.. (2024). Antibody Productivity of CHO Cells is Altered by ER Stress Tolerance of the Host Cell. 8(1). 1 indexed citations
3.
4.
Nagashima, Yu, et al.. (2024). Exploring the extension quantities of a medial collateral ligament pie-crusting model using a finite element method. Computer Methods in Biomechanics & Biomedical Engineering. 28(7). 1034–1041.
5.
6.
Chen, Bin, Qing Zhai, Chi Zhang, et al.. (2023). UBL3 Interacts with Alpha-Synuclein in Cells and the Interaction Is Downregulated by the EGFR Pathway Inhibitor Osimertinib. Biomedicines. 11(6). 1685–1685. 7 indexed citations
7.
Yan, Jing, Md. Shoriful Islam, Tomohito Sato, et al.. (2023). UBL3 Interaction with α-Synuclein Is Downregulated by Silencing MGST3. Biomedicines. 11(9). 2491–2491. 6 indexed citations
8.
Sato, Tomohito, Takumi Sakamoto, Masataka Ozaki, et al.. (2022). Coenzyme Q10 in the eye isomerizes by sunlight irradiation. Scientific Reports. 12(1). 12104–12104. 1 indexed citations
9.
Nagashima, Yu, Tatsuo Mano, Hiroyuki Ishiura, et al.. (2021). Cerebellar Ataxia as a Common Clinical Presentation Associated with DNMT1 p.Y511H and a Review of the Literature. Journal of Molecular Neuroscience. 71(9). 1796–1801. 1 indexed citations
10.
Toda, Keiichiro, Miu Tamamitsu, Yu Nagashima, Ryoichi Horisaki, & Takuro Ideguchi. (2019). Molecular contrast on phase-contrast microscope. Scientific Reports. 9(1). 9957–9957. 30 indexed citations
11.
Satake, Toshihiko, et al.. (2017). Polyurethane Foam Wound Dressing Technique for Areola Skin Graft Stabilization and Nipple Protection After Nipple–Areola Reconstruction. Aesthetic Plastic Surgery. 42(2). 442–446. 6 indexed citations
12.
Naito, Tatsuhiko, et al.. (2017). Identification and segmentation of myelinated nerve fibers in a cross-sectional optical microscopic image using a deep learning model. Journal of Neuroscience Methods. 291. 141–149. 18 indexed citations
13.
Nagashima, Yu, Takafumi Etoh, Ayumi Hida, et al.. (2013). Successful treatment of infliximab-associated immune-mediated sensory polyradiculopathy with intravenous immunoglobulin. Journal of Clinical Neuroscience. 20(11). 1618–1619. 7 indexed citations
14.
Higashihara, Mana, Masahiro Sonoo, Tomotaka Yamamoto, et al.. (2012). Far-field potentials in hypothenar motor unit number estimation. Muscle & Nerve. 48(2). 191–197. 6 indexed citations
15.
Koya, Junji, Atsushi Iwata, Fumihiko Nakamura, et al.. (2012). Fludarabine may overcome resistance to rituximab in IgM-related neuropathy. Journal of the Neurological Sciences. 315(1-2). 150–152. 5 indexed citations
16.
Nagashima, Yu, Hisatomo Kowa, Shoji Tsuji, & Atsushi Iwata. (2011). FAT10 Protein Binds to Polyglutamine Proteins and Modulates Their Solubility. Journal of Biological Chemistry. 286(34). 29594–29600. 20 indexed citations
17.
Higashihara, Mana, Masahiro Sonoo, Tomotaka Yamamoto, et al.. (2011). Evaluation of spinal and bulbar muscular atrophy by the clustering index method. Muscle & Nerve. 44(4). 539–546. 21 indexed citations
18.
Uesugi, Haruo, Masahiro Sonoo, Erik Stålberg, et al.. (2010). “Clustering Index method”: A new technique for differentiation between neurogenic and myopathic changes using surface EMG. Clinical Neurophysiology. 122(5). 1032–1041. 21 indexed citations
19.
Iwata, Atsushi, Yu Nagashima, Lumine Matsumoto, et al.. (2009). Intranuclear Degradation of Polyglutamine Aggregates by the Ubiquitin-Proteasome System. Journal of Biological Chemistry. 284(15). 9796–9803. 75 indexed citations
20.
Takami, Mako, Yu Nagashima, Y Sano, et al.. (2009). γ-Secretase: Successive Tripeptide and Tetrapeptide Release from the Transmembrane Domain of β-Carboxyl Terminal Fragment. Journal of Neuroscience. 29(41). 13042–13052. 404 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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