Shigeya Tanaka

974 total citations
72 papers, 759 citations indexed

About

Shigeya Tanaka is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Geriatrics and Gerontology. According to data from OpenAlex, Shigeya Tanaka has authored 72 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 26 papers in Psychiatry and Mental health and 17 papers in Geriatrics and Gerontology. Recurrent topics in Shigeya Tanaka's work include Neuroscience and Neuropharmacology Research (25 papers), Epilepsy research and treatment (18 papers) and Frailty in Older Adults (17 papers). Shigeya Tanaka is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Epilepsy research and treatment (18 papers) and Frailty in Older Adults (17 papers). Shigeya Tanaka collaborates with scholars based in Japan and Italy. Shigeya Tanaka's co-authors include Yukichi Yonemasu, Tatsuya Tanaka, Kazuhiro Sako, Tatsuya Tanaka, Tsutomu Fujita, Shinji Kondo, Morikuni Takigawa, Hiroshi Fukuda, Takato Morioka and Isao Nishihara and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and Neuroscience.

In The Last Decade

Shigeya Tanaka

70 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shigeya Tanaka Japan 17 354 216 160 137 84 72 759
Rosemary Brown United Kingdom 16 160 0.5× 372 1.7× 337 2.1× 87 0.6× 31 0.4× 28 1.2k
Bradley Christian Australia 18 244 0.7× 184 0.9× 74 0.5× 243 1.8× 24 0.3× 65 1.2k
Maria Aparecida Camargos Bicalho Brazil 17 84 0.2× 273 1.3× 147 0.9× 76 0.6× 74 0.9× 67 803
Heejin Lee South Korea 12 117 0.3× 199 0.9× 103 0.6× 99 0.7× 34 0.4× 27 799
Stephen Curran United Kingdom 16 70 0.2× 267 1.2× 167 1.0× 63 0.5× 26 0.3× 72 730
Bessy Benejam Spain 14 109 0.3× 149 0.7× 57 0.4× 137 1.0× 116 1.4× 45 865
Chih‐Ta Tai Taiwan 14 99 0.3× 389 1.8× 141 0.9× 67 0.5× 34 0.4× 26 790
Bang‐Sheng Wu China 16 92 0.3× 149 0.7× 60 0.4× 168 1.2× 31 0.4× 58 835
Mario Riverol Spain 21 190 0.5× 263 1.2× 126 0.8× 175 1.3× 17 0.2× 75 1.3k
Takefumi Yuzuriha Japan 19 134 0.4× 216 1.0× 93 0.6× 83 0.6× 11 0.1× 55 1.0k

Countries citing papers authored by Shigeya Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Shigeya Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeya Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeya Tanaka. A scholar is included among the top collaborators of Shigeya Tanaka 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 Shigeya Tanaka. Shigeya Tanaka 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
2.
Higuchi, Daisuke, et al.. (2024). Fall Risk Prediction for Community-Dwelling Older Adults: Analysis of Assessment Scale and Evaluation Items without Actual Measurement. International Journal of Environmental Research and Public Health. 21(2). 224–224. 2 indexed citations
3.
Higuchi, Daisuke, et al.. (2023). Factors associated with falls during voluntary self-isolation among community-dwelling older people: a longitudinal study. Journal of Physical Therapy Science. 35(5). 355–360. 1 indexed citations
4.
Takahashi, Shingo, Yosuke Tomita, Shigeya Tanaka, Noriko Sakurai, & Naoki Kodama. (2022). Prefrontal Cerebral Oxygenated Hemoglobin Concentration during the Category Fluency and Finger-Tapping Tasks in Adults with and without Mild Cognitive Impairment: A Near-Infrared Spectroscopy Study. Brain Sciences. 12(12). 1636–1636. 6 indexed citations
5.
Tanaka, Shigeya, et al.. (2022). Relationship between consistent subjective cognitive decline and occurrence of falls six months later. Archives of Gerontology and Geriatrics. 104. 104841–104841. 4 indexed citations
6.
Tanaka, Shigeya, et al.. (2022). An investigation to discriminate frailty based on the Questionnaire for medical checkup of old-old: A pilot study using the item response theory. Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics. 59(2). 169–177. 2 indexed citations
8.
Tomita, Yosuke, Shigeya Tanaka, Shingo Takahashi, & Nobuyuki Takeuchi. (2020). Detecting cognitive decline in community‐dwelling older adults using simple cognitive and motor performance tests. Geriatrics and gerontology international. 20(3). 212–217. 13 indexed citations
9.
Tanaka, Shigeya & Tatsuya Tanaka. (2013). Levetiracetam add‐on therapy in Japanese patients with refractory partial epilepsy. Epileptic Disorders. 15(2). 132–141. 4 indexed citations
10.
Imamura, Shinichi, et al.. (2007). Differences in two mice strains on kainic acid-induced amygdalar seizures. Biochemical and Biophysical Research Communications. 357(4). 1078–1083. 17 indexed citations
11.
Tanaka, Shigeya, et al.. (2002). Perirhinal cortical lesion suppresses the secondary generalization in kainic acid‐induced limbic seizure. Psychiatry and Clinical Neurosciences. 56(5). 561–567. 10 indexed citations
12.
Tanaka, Shigeya, et al.. (2001). Hippocampal transection attenuates kainic acid-induced amygdalar seizures in rats. Brain Research. 897(1-2). 93–103. 17 indexed citations
13.
Tanaka, Shigeya, et al.. (2000). Kainic Acid‐Induced Dorsal and Ventral Hippocampal Seizures in Rats. Epilepsia. 41(s9). 52–52. 9 indexed citations
14.
Tanaka, Shigeya, et al.. (1998). Kainic acid-induced perirhinal cortical seizures in rats. Brain Research. 800(2). 323–327. 10 indexed citations
15.
Tanaka, Shigeya, et al.. (1998). The Role of the Perirhinal Cortex for Secondary Generalization in Kainic Acid–Induced Seizures. Epilepsia. 39(S5). 75–75. 2 indexed citations
16.
Tanaka, Shigeya, et al.. (1995). Preoperative localization of brain lesions by magnetic resonance imaging with a marking device. Journal of neurosurgery. 82(3). 511–513. 2 indexed citations
17.
Tanaka, Tatsuya, et al.. (1989). [Experimental limbic seizure status epilepticus and focus resection in cats].. PubMed. 41(12). 1239–44. 2 indexed citations
18.
Tanaka, Shigeya, Kazuhiro Sako, Tatsuya Tanaka, Isao Nishihara, & Yukichi Yonemasu. (1989). Uncoupling between Local Cerebral Glucose Utilization and Local Cerebral Blood Flow in Kainic Acid‐Induced Limbic Seizure Status. Psychiatry and Clinical Neurosciences. 43(3). 559–560. 1 indexed citations
19.
Tanaka, Shigeya, Shinji Kondo, Tatsuya Tanaka, & Yukichi Yonemasu. (1988). Long-term observation of rats after unilateral intra-amygdaloid injection of kainic acid. Brain Research. 463(1). 163–167. 52 indexed citations
20.
Tanaka, Shigeya, et al.. (1987). Ibotenic Acid‐Induced Lesions of Substantia Innominata on Focal Limbic Seizures in Chronic Cats. Psychiatry and Clinical Neurosciences. 41(3). 508–509. 2 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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