Aya Kanno

771 total citations
60 papers, 471 citations indexed

About

Aya Kanno is a scholar working on Cognitive Neuroscience, Neurology and Obstetrics and Gynecology. According to data from OpenAlex, Aya Kanno has authored 60 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 16 papers in Neurology and 14 papers in Obstetrics and Gynecology. Recurrent topics in Aya Kanno's work include Pregnancy and preeclampsia studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Birth, Development, and Health (8 papers). Aya Kanno is often cited by papers focused on Pregnancy and preeclampsia studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Birth, Development, and Health (8 papers). Aya Kanno collaborates with scholars based in Japan and United States. Aya Kanno's co-authors include Nobuhiro Mikuni, Rei Enatsu, Keiya Fujimori, Akiko Yamaguchi, Tsuyoshi Murata, Hyo Kyozuka, Yukinori Akiyama, Shun Yasuda, Toma Fukuda and Akiko Satô and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Aya Kanno

56 papers receiving 469 citations

Peers

Aya Kanno

PPCH

NEURO

EPIDE

Raghu Ramakrishnaiah United States

Fazıl Gelal Türkiye

Rita Luciano Italy

P. Hawrylyshyn Canada

Rupa Radhakrishnan United States

Ramin Eskandari United States

Satoru Nakashita Japan

Karen S. Carvalho United States

Khatereh Aminoltejari Canada

Lars‐Martin Wiklund Sweden

Raghu Ramakrishnaiah United States

Aya Kanno

51 ×0.4

59 ×0.5

284 ×2.5

PPCH

62 ×0.7

NEURO

95 ×1.1

EPIDE

Citations per year, relative to Aya Kanno Aya Kanno (= 1×) peers Raghu Ramakrishnaiah

Countries citing papers authored by Aya Kanno

Since Specialization

Citations

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

Fields of papers citing papers by Aya Kanno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Kanno

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

All Works

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20 of 20 papers shown

Uda, Hiroshi, et al.. (2025). Millisecond-Scale White Matter Dynamics Underlying Visuomotor Integration. NeuroImage. 317. 121352–121352. 1 indexed citations

Kanno, Aya, Hiroshi Uda, Masaki Sonoda, et al.. (2025). Dynamic Causal Tractography Analysis of Auditory Descriptive Naming: An Intracranial Study of 106 Patients. NeuroImage. 317. 121319–121319. 2 indexed citations

Kanno, Aya, Hiroshi Uda, Michael J. Cools, et al.. (2025). Whole-Brain Dynamic Causal Tractography Atlas of Auditory and Visual Speech Networks Derived From Intracranial Neurophysiologic Data. Neurology. 106(2). e214448–e214448.

Enatsu, Rei, et al.. (2024). Functional Brain Mapping Using Depth Electrodes. World Neurosurgery. 188. e288–e296. 1 indexed citations

Murata, Tsuyoshi, Hyo Kyozuka, Toma Fukuda, et al.. (2024). Urinary 8-hydroxy-2′-deoxyguanosine levels and preterm births: a prospective cohort study from the Japan Environment and Children’s Study. BMJ Open. 14(2). e063619–e063619. 1 indexed citations

Suzuki, Kengo, et al.. (2024). Moyamoya Disease with Changed Cerebrospinal Fluid Flow Artifact on Fluid Attenuated Inversion Recovery Image after Revascularization : A Case Report. Japanese Journal of Neurosurgery. 33(1). 58–63. 1 indexed citations

Kanno, Aya, Hyo Kyozuka, Tsuyoshi Murata, et al.. (2021). Age at menarche and risk of adverse obstetric outcomes during the first childbirth in Japan: The Japan Environment and Children's Study. Journal of obstetrics and gynaecology research. 48(1). 103–112. 3 indexed citations

Murata, Tsuyoshi, Hyo Kyozuka, Toma Fukuda, et al.. (2021). Urinary 8-hydroxy-2′-deoxyguanosine levels and small-for-gestational age infants: a prospective cohort study from the Japan Environment and Children’s Study. BMJ Open. 11(12). e054156–e054156. 3 indexed citations

Murata, Tsuyoshi, Hyo Kyozuka, Toma Fukuda, et al.. (2021). Maternal disease activity and serological activity as predictors of adverse pregnancy outcomes in women with systemic lupus erythematosus: a retrospective chart review. Archives of Gynecology and Obstetrics. 305(5). 1177–1183. 16 indexed citations

10.

Kyozuka, Hyo, Tsuyoshi Murata, Toma Fukuda, et al.. (2021). Effect of Preconception Selenium Intake on the Risk for Gestational Diabetes: The Japan Environment and Children’s Study. Antioxidants. 10(4). 568–568. 10 indexed citations

11.

Kyozuka, Hyo, Hidekazu Nishigori, Tsuyoshi Murata, et al.. (2021). Prepregnancy antiinflammatory diet in pregnant women with endometriosis: The Japan Environment and Children's Study. Nutrition. 85. 111129–111129. 15 indexed citations

12.

Kyozuka, Hyo, Tsuyoshi Murata, Akiko Yamaguchi, et al.. (2021). Teenage pregnancy as a risk factor for placental abruption: Findings from the prospective Japan environment and children’s study. PLoS ONE. 16(5). e0251428–e0251428. 10 indexed citations

13.

Kyozuka, Hyo, Tsuyoshi Murata, Toma Fukuda, et al.. (2020). Dietary Inflammatory Index during Pregnancy and the Risk of Intrapartum Fetal Asphyxia: The Japan Environment and Children’s Study. Nutrients. 12(11). 3482–3482. 12 indexed citations

14.

Murata, Tsuyoshi, Toma Fukuda, Tetsu Sato, et al.. (2020). Potential effects of transdermal nitric oxide donor on fetal growth restriction and oligohydramnios: A case report. SHILAP Revista de lepidopterología. 8(12). 3287–3292. 2 indexed citations

15.

Kanno, Aya, et al.. (2018). Location and Threshold of Electrical Cortical Stimulation for Functional Brain Mapping. World Neurosurgery. 119. e125–e130. 12 indexed citations

16.

Suzuki, Yuto, Rei Enatsu, Aya Kanno, et al.. (2018). The Influence of Anesthesia on Corticocortical Evoked Potential Monitoring Network Between Frontal and Temporoparietal Cortices. World Neurosurgery. 123. e685–e692. 19 indexed citations

17.

Charidimou, Andreas, et al.. (2016). Cerebral microbleeds and white matter hyperintensities in cardioembolic stroke patients due to atrial fibrillation: single-centre longitudinal study. Journal of the Neurological Sciences. 369. 263–267. 22 indexed citations

18.

Mikami, Takeshi, Katsuya Komatsu, Aya Kanno, et al.. (2016). Neuromodulatory Role of Revascularization Surgery in Moyamoya Disease. World Neurosurgery. 91. 473–482. 8 indexed citations

19.

Enatsu, Rei, et al.. (2015). Intraoperative Subcortical Fiber Mapping with Subcortico-Cortical Evoked Potentials. World Neurosurgery. 86. 478–483. 9 indexed citations

20.

Imaizumi, Toshio, et al.. (2015). The Severity of White Matter Lesions Possibly Influences Stroke Recurrence in Patients with Histories of Lacunar Infarctions. Journal of Stroke and Cerebrovascular Diseases. 24(9). 2154–2160. 11 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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