Ai Kimura

1.3k total citations
38 papers, 912 citations indexed

About

Ai Kimura is a scholar working on Molecular Biology, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ai Kimura has authored 38 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 15 papers in Physiology and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ai Kimura's work include Dementia and Cognitive Impairment Research (9 papers), Nutritional Studies and Diet (8 papers) and Nutrition and Health in Aging (8 papers). Ai Kimura is often cited by papers focused on Dementia and Cognitive Impairment Research (9 papers), Nutritional Studies and Diet (8 papers) and Nutrition and Health in Aging (8 papers). Ai Kimura collaborates with scholars based in Japan, South Korea and Czechia. Ai Kimura's co-authors include Takashi Sakurai, Shumpei Niida, Taiki Sugimoto, Kenji Toba, Naoki Saji, Tsuyoshi Tsuduki, Kenta Murotani, Takayoshi Hisada, Rei Ono and Liang‐Kung Chen and has published in prestigious journals such as Oncogene, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Ai Kimura

34 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai Kimura Japan 17 446 416 169 159 150 38 912
Giulia Paroni Italy 16 305 0.7× 145 0.3× 119 0.7× 45 0.3× 130 0.9× 42 787
Marta Baroni Italy 16 268 0.6× 149 0.4× 160 0.9× 40 0.3× 68 0.5× 35 831
Manjushri Bhapkar United States 23 1.1k 2.4× 181 0.4× 63 0.4× 33 0.2× 56 0.4× 37 1.8k
Hakan Yavuzer Türkiye 16 238 0.5× 202 0.5× 67 0.4× 30 0.2× 71 0.5× 76 888
Mabel Martelli Italy 13 368 0.8× 158 0.4× 348 2.1× 34 0.2× 53 0.4× 15 1.2k
Catherine Hughes United Kingdom 21 341 0.8× 263 0.6× 119 0.7× 44 0.3× 32 0.2× 68 1.3k
Ruth Stephen United Kingdom 14 255 0.6× 280 0.7× 297 1.8× 17 0.1× 41 0.3× 32 983
Jac Kee Low Australia 15 219 0.5× 101 0.2× 131 0.8× 46 0.3× 25 0.2× 29 873
Lucia Servadei Italy 9 332 0.7× 140 0.3× 338 2.0× 22 0.1× 52 0.3× 9 1.1k

Countries citing papers authored by Ai Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Ai Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Kimura. A scholar is included among the top collaborators of Ai Kimura 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 Ai Kimura. Ai Kimura 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.
2.
Shibato, Junko, Fumiko Takenoya, Ai Kimura, et al.. (2024). Lifespan Extension and Motor Function Improvement Effects of Whale Meat Extract in Caenorhabditis elegans. International Journal of Molecular Sciences. 25(23). 12833–12833. 1 indexed citations
3.
Kimura, Ai, Kazuhiko Kato, Akio Nakashima, et al.. (2024). Association Between Parathyroid Hormone-Related Peptide Levels and Mortality in Patients With Malignancy. Endocrine Practice. 30(12). 1119–1125.
4.
Hirako, Satoshi, Takahiro Hirabayashi, Junko Shibato, et al.. (2023). Docosapentaenoic acid-rich oil lowers plasma glucose and lipids in a mouse model of diabetes and mild obesity. Nutrition Research. 118. 128–136. 3 indexed citations
5.
Shibato, Junko, Fumiko Takenoya, Ai Kimura, et al.. (2023). Examining the Effect of Notocactus ottonis Cold Vacuum Isolated Plant Cell Extract on Hair Growth in C57BL/6 Mice Using a Combination of Physiological and OMICS Analyses. Molecules. 28(4). 1565–1565. 3 indexed citations
6.
Takenoya, Fumiko, Junko Shibato, Michio Yamashita, et al.. (2023). Transcriptomic (DNA Microarray) and Metabolome (LC-TOF-MS) Analyses of the Liver in High-Fat Diet Mice after Intranasal Administration of GALP (Galanin-like Peptide). International Journal of Molecular Sciences. 24(21). 15825–15825. 2 indexed citations
7.
Shibato, Junko, Fumiko Takenoya, Michio Yamashita, et al.. (2023). OMICS Analyses Unraveling Related Gene and Protein-Driven Molecular Mechanisms Underlying PACAP 38-Induced Neurite Outgrowth in PC12 Cells. International Journal of Molecular Sciences. 24(4). 4169–4169. 4 indexed citations
8.
Matsuki-Fukushima, Miwako, Junko Shibato, Ai Kimura, et al.. (2023). Ontogenetic development of the water channel protein AQP5 in mouse salivary gland tissue. Cell and Tissue Research. 392(3). 705–714. 1 indexed citations
9.
10.
Shibato, Junko, Fumiko Takenoya, Takahiro Hirabayashi, et al.. (2021). Molecular Mechanism for PACAP 38-Induced Neurite Outgrowth in PC12 Cells. Neural Plasticity. 2021. 1–12. 4 indexed citations
11.
Saji, Naoki, Tsuyoshi Tsuduki, Kenta Murotani, et al.. (2021). Relationship between the Japanese-style diet, gut microbiota, and dementia: A cross-sectional study. Nutrition. 94. 111524–111524. 28 indexed citations
12.
Saji, Naoki, Kenta Murotani, Takayoshi Hisada, et al.. (2021). The Association between Cerebral Small Vessel Disease and the Gut Microbiome: A Cross-Sectional Analysis. Journal of Stroke and Cerebrovascular Diseases. 30(3). 105568–105568. 21 indexed citations
13.
Saji, Naoki, Shumpei Niida, Kenta Murotani, et al.. (2019). Analysis of the relationship between the gut microbiome and dementia: a cross-sectional study conducted in Japan. Scientific Reports. 9(1). 1008–1008. 165 indexed citations
14.
Sugimoto, Taiki, Rei Ono, Ai Kimura, et al.. (2018). Physical Frailty Correlates With Behavioral and Psychological Symptoms of Dementia and Caregiver Burden in Alzheimer’s Disease. The Journal of Clinical Psychiatry. 79(6). 22 indexed citations
15.
Sugimoto, Taiki, Takashi Sakurai, Rei Ono, et al.. (2018). Epidemiological and clinical significance of cognitive frailty: A mini review. Ageing Research Reviews. 44. 1–7. 97 indexed citations
16.
Kimura, Ai, Taiki Sugimoto, Shumpei Niida, Kenji Toba, & Takashi Sakurai. (2018). Association Between Appetite and Sarcopenia in Patients With Mild Cognitive Impairment and Early-Stage Alzheimer's Disease: A Case-Control Study. Frontiers in Nutrition. 5. 128–128. 23 indexed citations
17.
Hirako, Satoshi, Yoshihiro Wakayama, Hyounju Kim, et al.. (2015). The relationship between aquaglyceroporin expression and development of fatty liver in diet-induced obesity and ob/ob mice. Obesity Research & Clinical Practice. 10(6). 710–718. 17 indexed citations
18.
Ogura, Makoto, et al.. (2012). Estimation of salt intake from spot urine samples in patients with chronic kidney disease. BMC Nephrology. 13(1). 36–36. 32 indexed citations
19.
Kimura, Ai, Kotaro Shide, Kazuya Shimoda, et al.. (2009). p27 deregulation by Skp2 overexpression induced by the JAK2V617 mutation. Biochemical and Biophysical Research Communications. 383(4). 411–416. 17 indexed citations
20.
Sobue, Sayaka, Satoshi Nemoto, Masashi Murakami, et al.. (2008). Implications of sphingosine kinase 1 expression level for the cellular sphingolipid rheostat: relevance as a marker for daunorubicin sensitivity of leukemia cells. International Journal of Hematology. 87(3). 266–275. 53 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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