Kinya Ishikawa

5.3k total citations
125 papers, 3.0k citations indexed

About

Kinya Ishikawa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Kinya Ishikawa has authored 125 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 74 papers in Cellular and Molecular Neuroscience and 36 papers in Neurology. Recurrent topics in Kinya Ishikawa's work include Genetic Neurodegenerative Diseases (70 papers), Mitochondrial Function and Pathology (52 papers) and Parkinson's Disease Mechanisms and Treatments (16 papers). Kinya Ishikawa is often cited by papers focused on Genetic Neurodegenerative Diseases (70 papers), Mitochondrial Function and Pathology (52 papers) and Parkinson's Disease Mechanisms and Treatments (16 papers). Kinya Ishikawa collaborates with scholars based in Japan, United States and United Kingdom. Kinya Ishikawa's co-authors include Hidehiro Mizusawa, Norio Ohkoshi, Takanori Yokota, Masahiro Mii, Taro Ishiguro, Shuta Toru, Taiji Tsunemi, Tomonari Hirano, Tsutomu Tanabe and Hiroto Fujigasaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kinya Ishikawa

121 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kinya Ishikawa Japan 34 2.0k 1.6k 724 392 330 125 3.0k
Albrecht M. Clement Germany 22 1.5k 0.8× 820 0.5× 973 1.3× 109 0.3× 396 1.2× 36 3.4k
Louis J. DeGennaro United States 22 1.5k 0.7× 814 0.5× 549 0.8× 127 0.3× 247 0.7× 30 2.9k
Scott Zeitlin United States 34 4.0k 2.0× 3.6k 2.2× 1.2k 1.6× 111 0.3× 237 0.7× 47 5.5k
Alfred Bach Germany 20 2.0k 1.0× 1.2k 0.7× 382 0.5× 48 0.1× 589 1.8× 24 3.6k
Zu-Hang Sheng United States 26 2.5k 1.2× 1.7k 1.0× 318 0.4× 75 0.2× 181 0.5× 30 3.7k
Hitoshi Okazawa Japan 34 3.1k 1.6× 1.4k 0.8× 303 0.4× 79 0.2× 339 1.0× 116 4.5k
Yoshihiro Kino Japan 27 1.5k 0.7× 667 0.4× 412 0.6× 52 0.1× 471 1.4× 65 2.4k
Esther B. E. Becker United Kingdom 29 2.2k 1.1× 885 0.6× 250 0.3× 81 0.2× 226 0.7× 47 3.4k
Neelam Shahani United States 26 1.5k 0.7× 696 0.4× 385 0.5× 81 0.2× 186 0.6× 39 2.6k
Amber L. Southwell Canada 31 2.3k 1.1× 2.0k 1.3× 687 0.9× 33 0.1× 196 0.6× 48 3.2k

Countries citing papers authored by Kinya Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Kinya Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kinya Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Kinya Ishikawa. A scholar is included among the top collaborators of Kinya Ishikawa 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 Kinya Ishikawa. Kinya Ishikawa 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.
Ishiguro, Taro, et al.. (2025). Predictive Genetic Testing and Genetic Counseling for Hereditary Neuromuscular Diseases in Japan: A Case Series of 40 Clients. Neurology and Clinical Neuroscience. 13(5). 360–365. 1 indexed citations
2.
3.
Honda, Shinya, Min Kyoung Shin, Kei Watase, et al.. (2024). Subcellular localization and ER-mediated cytotoxic function of α1A and α1ACT in spinocerebellar ataxia type 6. Biochemical and Biophysical Research Communications. 695. 149481–149481. 2 indexed citations
4.
Torii, Satoru, et al.. (2023). Uncovering the Localization and Function of a Novel Read-Through Transcript ‘TOMM40-APOE’. Cells. 13(1). 69–69. 2 indexed citations
5.
Shiwaku, Hiroki, Mengxuan Gao, Kanoh Kondo, et al.. (2023). Analyzing schizophrenia-related phenotypes in mice caused by autoantibodies against NRXN1α in schizophrenia. Brain Behavior and Immunity. 111. 32–45. 11 indexed citations
6.
Ishikawa, Kinya, et al.. (2022). Spinocerebellar ataxia type 31: A clinical and radiological literature review. Journal of the Neurological Sciences. 444. 120527–120527. 10 indexed citations
7.
Ozaki, Kokoro, Takashi Irioka, Toshiki Uchihara, et al.. (2021). Neuropathology of SCA34 showing widespread oligodendroglial pathology with vacuolar white matter degeneration: a case study. Acta Neuropathologica Communications. 9(1). 172–172. 9 indexed citations
8.
Shibata, T., Morio Ueyama, Kensuke Ninomiya, et al.. (2021). Small molecule targeting r(UGGAA)n disrupts RNA foci and alleviates disease phenotype in Drosophila model. Nature Communications. 12(1). 236–236. 45 indexed citations
9.
Ishiguro, Taro, Yoshitaka Nagai, & Kinya Ishikawa. (2021). Insight Into Spinocerebellar Ataxia Type 31 (SCA31) From Drosophila Model. Frontiers in Neuroscience. 15. 648133–648133. 9 indexed citations
10.
Hara, Akio, et al.. (2015). Clinical characteristics of combined cases of spinocerebellar ataxia types 6 and 31. Journal of Neurogenetics. 29(2-3). 80–84. 1 indexed citations
11.
Ishibashi, Kenji, Yoshiharu Miura, Kinya Ishikawa, Kenji Ishii, & Kiichi Ishiwata. (2015). Decreased metabotropic glutamate receptor type 1 availability in a patient with spinocerebellar ataxia type 6: A 11C-ITMM PET study. Journal of the Neurological Sciences. 355(1-2). 202–205. 8 indexed citations
12.
Ozaki, Kokoro, Akiyoshi Kakita, Mari Tada, et al.. (2014). Relocation of p25¿/tubulin polymerization promoting protein from the nucleus to the perinuclear cytoplasm in the oligodendroglia of sporadic and COQ2 mutant multiple system atrophy. Acta Neuropathologica Communications. 2(1). 136–136. 1 indexed citations
13.
Ishikawa, Kinya, Yuishin Izumi, Makoto Takahashi, et al.. (2012). Prevalence of inositol 1, 4, 5-triphosphate receptor type 1 gene deletion, the mutation for spinocerebellar ataxia type 15, in Japan screened by gene dosage. Journal of Human Genetics. 57(3). 202–206. 16 indexed citations
14.
15.
Watase, Kei, Curtis F. Barrett, Taisuke Miyazaki, et al.. (2008). Spinocerebellar ataxia type 6 knockin mice develop a progressive neuronal dysfunction with age-dependent accumulation of mutant Ca V 2.1 channels. Proceedings of the National Academy of Sciences. 105(33). 11987–11992. 122 indexed citations
16.
Yokota, Takanori, Vivian Gama, Tomoyuki Yoshida, et al.. (2007). Bax-inhibiting peptide protects cells from polyglutamine toxicity caused by Ku70 acetylation. Cell Death and Differentiation. 14(12). 2058–2067. 70 indexed citations
17.
Hirano, Tomonari, et al.. (2006). Advances in orchid cryopreservation.. 410–414. 9 indexed citations
18.
Noguchi, Yoshihiro, et al.. (2003). Mutation of theEYA1Gene in Patients with Branchio-oto Syndrome. Acta Oto-Laryngologica. 123(2). 279–282. 17 indexed citations
19.
Ishikawa, Kinya, Tsuneo Fujita, Norio Ohkoshi, et al.. (1995). Calbindin-D 28k immunoreactivity in the cerebellum of spinocerebellar degeneration. Journal of the Neurological Sciences. 129(2). 179–185. 45 indexed citations
20.
Ishihara, Tadayuki, et al.. (1988). Pulmonary hypertension in progressive muscular dystrophy of the Duchenne type.. Japanese Circulation Journal. 52(4). 321–326. 24 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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