Takamura Nagasaka

499 total citations
52 papers, 345 citations indexed

About

Takamura Nagasaka is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Takamura Nagasaka has authored 52 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Neurology, 18 papers in Cellular and Molecular Neuroscience and 15 papers in Molecular Biology. Recurrent topics in Takamura Nagasaka's work include Genetic Neurodegenerative Diseases (13 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Botulinum Toxin and Related Neurological Disorders (9 papers). Takamura Nagasaka is often cited by papers focused on Genetic Neurodegenerative Diseases (13 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Botulinum Toxin and Related Neurological Disorders (9 papers). Takamura Nagasaka collaborates with scholars based in Japan, China and Norway. Takamura Nagasaka's co-authors include Kazumasa Shindo, Zenji Shiozawa, Yoshihisa Takiyama, T Satake, Kazuaki Ohta, Mai Tsuchiya, Kishin Koh, Yuta Ichinose, N Miyazawa and Masataka Hayashi and has published in prestigious journals such as Neurology, Movement Disorders and Journal of Neuropathology & Experimental Neurology.

In The Last Decade

Takamura Nagasaka

50 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takamura Nagasaka Japan 11 138 106 92 74 48 52 345
M Konagaya Japan 9 206 1.5× 89 0.8× 124 1.3× 91 1.2× 103 2.1× 35 422
Baijayanta Maiti United States 12 195 1.4× 115 1.1× 72 0.8× 29 0.4× 50 1.0× 25 409
Anthony G. Alessi United States 8 247 1.8× 94 0.9× 135 1.5× 29 0.4× 57 1.2× 14 584
Anne Koy Germany 14 299 2.2× 114 1.1× 105 1.1× 27 0.4× 34 0.7× 40 535
We Fong Siah Ireland 15 277 2.0× 121 1.1× 79 0.9× 62 0.8× 65 1.4× 35 615
Barbara E. O'Steen United States 9 149 1.1× 152 1.4× 55 0.6× 22 0.3× 39 0.8× 10 405
J‐M. Burgunder Switzerland 11 76 0.6× 199 1.9× 134 1.5× 28 0.4× 23 0.5× 18 387
Koji Abe Japan 10 114 0.8× 121 1.1× 28 0.3× 47 0.6× 47 1.0× 24 321
Nattakarn Limphaibool Poland 8 95 0.7× 63 0.6× 62 0.7× 66 0.9× 55 1.1× 18 341
Valentina Scarano Italy 12 106 0.8× 193 1.8× 252 2.7× 178 2.4× 19 0.4× 21 421

Countries citing papers authored by Takamura Nagasaka

Since Specialization
Citations

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

Fields of papers citing papers by Takamura Nagasaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takamura Nagasaka

This figure shows the co-authorship network connecting the top 25 collaborators of Takamura Nagasaka. A scholar is included among the top collaborators of Takamura Nagasaka 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 Takamura Nagasaka. Takamura Nagasaka 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.
Nan, Haitian, Yunqing Wu, Jiawei Wang, et al.. (2022). Coexistence of Charcot-Marie-Tooth 1A and nondystrophic myotonia due to PMP22 duplication and SCN4A pathogenic variants: a case report. BMC Neurology. 22(1). 17–17. 1 indexed citations
2.
Shindo, Kazumasa, et al.. (2021). Sympathetic nerve outflow to skin in a case with dentatorubral-pallidoluysian atrophy. Journal of Clinical Neuroscience. 87. 80–83. 1 indexed citations
3.
Shindo, Kazumasa, Mai Tsuchiya, Yuta Ichinose, et al.. (2020). Sympathetic outflow to skin predicts central autonomic dysfunction in multiple system atrophy. Neurological Sciences. 41(8). 2241–2248. 4 indexed citations
4.
Nagasaka, Takamura, Kishin Koh, Mai Tsuchiya, et al.. (2019). Pathological findings in a patient with non-dystrophic myotonia with a mutation of the SCN4A gene; a case report. BMC Neurology. 19(1). 125–125. 2 indexed citations
5.
6.
Nagasaka, Takamura, et al.. (2016). [A Case of Acute Limbic Encephalitis with Sjögren's Syndrome].. PubMed. 68(5). 567–71. 1 indexed citations
7.
Shindo, Kazumasa, Mai Tsuchiya, Yuta Ichinose, et al.. (2016). Vasomotor regulation in patients with multiple system atrophy. Journal of Neural Transmission. 124(4). 477–481. 5 indexed citations
8.
Ichinose, Yuta, Kishin Koh, Takamura Nagasaka, et al.. (2016). Exome sequencing reveals a novel missense mutation in the KIAA0196 gene in a Japanese patient with SPG8. Clinical Neurology and Neurosurgery. 144. 36–38. 10 indexed citations
9.
Shindo, Kazumasa, et al.. (2015). Muscle sympathetic nerve activity in frontotemporal lobar degeneration is similar to amyotrophic lateral sclerosis. Clinical Autonomic Research. 26(1). 1–5. 5 indexed citations
10.
Shindo, Kazumasa, Mai Tsuchiya, Yuta Ichinose, et al.. (2015). No relation between sympathetic outflow to muscles and respiratory function in amyotrophic lateral sclerosis. Journal of the Neurological Sciences. 358(1-2). 66–71. 1 indexed citations
11.
Shindo, Kazumasa, et al.. (2014). Opsoclonus-myoclonus syndrome associated with multiple system atrophy. PubMed. 1(1). 15–15. 2 indexed citations
12.
Nakamura, Yuki, et al.. (2012). Atypical distribution of muscular atrophy in a 29-year-old man with polymyositis and anti-SRP antibodies. Rinsho Shinkeigaku. 52(4). 234–238.
13.
Nagasaka, Takamura. (2012). Familial Amyloidotic Polyneuropathy and Transthyretin. Sub-cellular biochemistry. 65. 565–607. 5 indexed citations
14.
Nagasaka, Takamura, Kazumasa Shindo, Yoshihisa Takiyama, et al.. (2011). Cerebral Hypermetabolism Demonstrated by FDG PET in Familial Creutzfeldt-Jakob Disease. Clinical Nuclear Medicine. 36(8). 725–727. 4 indexed citations
15.
Shindo, Kazumasa, et al.. (2008). Sympathetic sudomotor and vasoconstrictive neural function in patients with Parkinson's disease. Parkinsonism & Related Disorders. 14(7). 548–552. 24 indexed citations
16.
Nagasaka, Takamura, et al.. (2008). NEUROFERRITINOPATHY IN A JAPANESE FAMILY WITH A DUPLICATION IN THE FERRITIN LIGHT CHAIN GENE. Neurology. 70(16_part_2). 1493–1494. 40 indexed citations
17.
Nagasaka, Takamura, et al.. (2002). Intramedullary Tuberculoma with Syringomyelia. Journal of Spinal Disorders & Techniques. 15(1). 88–90. 9 indexed citations
18.
Shindo, Kazumasa, et al.. (2002). A comparison of sympathetic outflow to muscles between cervical spondylotic amyotrophy and ALS. Amyotrophic Lateral Sclerosis and Other Motor Neuron Disorders. 3(4). 233–238. 7 indexed citations
19.
Shiozawa, Zenji, et al.. (2000). A concise overview of recent breakthroughs in imaging of ALS. Amyotrophic Lateral Sclerosis. 1(1). 3–6. 5 indexed citations
20.
Shindo, Kazumasa, et al.. (1995). Muscle Sympathetic Nerve Activity In a Long - term Survival Amyotrophic Lateral Sclerosis Patient. 32(4). 378–383. 1 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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