Aya Kadota
About
Aya Kadota is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism.
According to data from OpenAlex, Aya Kadota has authored 217 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Cardiology and Cardiovascular Medicine, 56 papers in Public Health, Environmental and Occupational Health and 43 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Aya Kadota's work include Nutritional Studies and Diet (44 papers), Blood Pressure and Hypertension Studies (37 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (35 papers). Aya Kadota is often cited by papers focused on Nutritional Studies and Diet (44 papers), Blood Pressure and Hypertension Studies (37 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (35 papers). Aya Kadota collaborates with scholars based in Japan, United States and South Korea. Aya Kadota's co-authors include Katsuyuki Miura, Hirotsugu Ueshima, Tomonori Okamura, Yasuyuki Nakamura, Yoshikuni Kita, Akira Fujiyoshi, Takayoshi Ohkubo, Akira Okayama, Nagako Okuda and Naoyuki Takashima and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
In The Last Decade
Aya Kadota
207 papers receiving 3.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Aya Kadota Japan | 32 | 1.6k | 769 | 734 | 582 | 578 | 217 | 3.6k | ||
| Masahiko Kiyama Japan | 33 | 1.3k 0.9× | 816 1.1× | 658 0.9× | 749 1.3× | 603 1.0× | 160 | 3.6k | ||
| Akira Fujiyoshi Japan | 30 | 1.1k 0.7× | 478 0.6× | 598 0.8× | 349 0.6× | 535 0.9× | 174 | 2.8k | ||
| Shao‐Yuan Chuang Taiwan | 37 | 2.0k 1.3× | 735 1.0× | 585 0.8× | 614 1.1× | 763 1.3× | 157 | 4.8k | ||
| Vanina Bongard France | 33 | 1.3k 0.8× | 543 0.7× | 771 1.1× | 457 0.8× | 769 1.3× | 160 | 4.2k | ||
| Di Zhao United States | 39 | 1.5k 0.9× | 872 1.1× | 640 0.9× | 843 1.4× | 634 1.1× | 197 | 5.3k | ||
| Toshimi Sairenchi Japan | 29 | 973 0.6× | 837 1.1× | 486 0.7× | 588 1.0× | 368 0.6× | 107 | 3.6k | ||
| Lisa W. Martin United States | 34 | 1.3k 0.8× | 877 1.1× | 743 1.0× | 263 0.5× | 564 1.0× | 106 | 4.6k | ||
| Sumathy Rangarajan Canada | 26 | 1.6k 1.0× | 696 0.9× | 869 1.2× | 426 0.7× | 365 0.6× | 83 | 3.7k | ||
| António Coca Spain | 38 | 2.9k 1.9× | 860 1.1× | 520 0.7× | 429 0.7× | 534 0.9× | 239 | 4.9k | ||
| Costas Thomopoulos Greece | 35 | 2.6k 1.7× | 747 1.0× | 556 0.8× | 293 0.5× | 537 0.9× | 168 | 4.0k |
Countries citing papers authored by Aya Kadota
Since
Specialization
Citations
This map shows the geographic impact of Aya Kadota'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 Kadota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aya Kadota more than expected).
Fields of papers citing papers by Aya Kadota
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Aya Kadota. 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 Kadota. The network helps show where Aya Kadota may publish in the future.
Co-authorship network of co-authors of Aya Kadota
This figure shows the co-authorship network connecting the top 25 collaborators of Aya Kadota. A scholar is included among the top collaborators of Aya Kadota 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 Kadota. Aya Kadota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Ito, Takahiro, Akira Fujiyoshi, Takayoshi Ohkubo, et al.. (2025). Asymptomatic Intracranial Vascular Lesions and Cognitive Function in a General Population of Japanese Men: Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA). Cerebrovascular Diseases. 55(2). 251–261.
2.
Arima, Hisatomi, Shigeki Bamba, Fu Namai, et al.. (2025). A cross-sectional study of the gut microbiota associated with urinary and serum equol production status in a general population of Japanese men. Food Bioscience. 71. 107048–107048.
3.
Hisamatsu, Takashi, Yoshihisa Nakagawa, Aya Kadota, et al.. (2023). Association of Anthropometric and CT-Based Obesity Indices with Subclinical Atherosclerosis. Journal of Atherosclerosis and Thrombosis. 31(1). 48–60.
4.
Kunimura, Ayako, Yuichiro Yano, Takashi Hisamatsu, et al.. (2023). Association between proprotein convertase subtilisin/kexin type 9 and subclinical cerebrovascular disease in the community. European Journal of Neurology. 30(5). 1327–1334.
5.
Yano, Yuichiro, Aya Kadota, Akihiko Shiino, et al.. (2023). Association of Arterial Stiffness and Atherosclerotic Burden With Brain Structural Changes Among Japanese Men. Journal of the American Heart Association. 12(11). e028586–e028586.
6.
Imaizumi, Takahiro, Shoichi Maruyama, Keitaro Tanaka, et al.. (2023). Association of kidney function with cancer incidence and its influence on cancer risk of smoking: The Japan Multi‐Institutional Collaborative Cohort Study. International Journal of Cancer. 153(4). 732–741.
7.
Nishi, Nobuo, Kaori Kitaoka, Keiko Kondo, et al.. (2023). Trends in Mortality from Major Causes and Lifestyle Factors by Per Capita Prefectural Income: Ecological Panel Data Analysis from 1995 to 2016 in Japan. SSRN Electronic Journal.
8.
Kondo, Keiko, Hisatomi Arima, Akira Fujiyoshi, et al.. (2022). Differential Association of Serum n-3 Polyunsaturated Fatty Acids with Various Cerebrovascular Lesions in Japanese Men. Cerebrovascular Diseases. 51(6). 774–780.
9.
Kuwabara, Kazuyo, Aya Higashiyama, Daisuke Sugiyama, et al.. (2020). [The search for a predictor of deterioration of the nonspecific stress index K6 among urban residents: The KOBE study].. PubMed. 67(8). 509–517.
10.
Liu, Yiwei, Daisuke Sugiyama, Aya Hirata, et al.. (2019). Abstract 11254: Double Product Privilege in Predicting All-cause and Cardiovascular Disease Mortality Compare to Heart Rate and Blood Pressure Separately, the Nippon-data 80 Study. Circulation.
11.
Sumi, Masaki, Takashi Hisamatsu, Akira Fujiyoshi, et al.. (2018). Association of Alcohol Consumption With Fat Deposition in a Community-Based Sample of Japanese Men: The Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA). Journal of Epidemiology. 29(6). 205–212.
12.
Nakamura, Tomiyo, Yasuyuki Nakamura, Shigeyuki Saitoh, et al.. (2018). Relationship Between Socioeconomic Status and the Prevalence of Underweight, Overweight or Obesity in a General Japanese Population: NIPPON DATA2010. Journal of Epidemiology. 28(Supplement_III). S10–S16.
13.
Ueshima, Hirotsugu, et al.. (2018). 日本におけるKeysスコア,食事脂質,血清総コレステロール間の関係における時間関連変化-NIPPON DATA80/90/2010-. Circulation. 83(1). 147–155.
14.
Ito, Takahiro, Hisatomi Arima, Akira Fujiyoshi, et al.. (2016). Relationship between non-high-density lipoprotein cholesterol and the long-term mortality of cardiovascular diseases: NIPPON DATA 90. International Journal of Cardiology. 220. 262–267.
15.
Guo, Jingchuan, Akira Fujiyoshi, Kamal Masaki, et al.. (2016). The role of initial and longitudinal change in blood pressure on progression of arterial stiffness among multiethnic middle-aged men. Journal of Hypertension. 35(1). 111–117.
16.
Sugiyama, Daisuke, Tomonori Okamura, Makoto Watanabe, et al.. (2014). Risk of Hypercholesterolemia in Patients with Cardiovascular Disease and the Population Attributable Fraction in a 24-year Japanese Cohort Study. Journal of Atherosclerosis and Thrombosis.
17.
Kadota, Aya, Katsuyuki Miura, & Hirotsugu Ueshima. (2011). [The trend of metabolic syndrome in Japanese National Health and Nutrition Survey].. PubMed. 69 Suppl 1. 35–9.
18.
Kadota, Aya, Katsuyuki Miura, & Hirotsugu Ueshima. (2010). [Diabetes and cardiovascular disease in NIPPON DATA].. PubMed. 68(5). 847–52.
19.
Sekikawa, Akira, Takashi Kadowaki, J. David Curb, et al.. (2010). Circulating Levels of 8 Cytokines and Marine n-3 Fatty Acids and Indices of Obesity in Japanese, White, and Japanese American Middle-Aged Men. Journal of Interferon & Cytokine Research. 30(7). 541–548.
20.
Ueshima, Hirotsugu, Aya Kadota, Atsushi Hozawa, et al.. (2008). 糖尿病男性でアルコール摂取は制限すべきか:NIPPON DATA80. Circulation. 72. 202.
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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