Akira Narita

5.7k total citations
97 papers, 836 citations indexed

About

Akira Narita is a scholar working on Genetics, Pharmacology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Akira Narita has authored 97 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 14 papers in Pharmacology and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Akira Narita's work include Antibiotics Pharmacokinetics and Efficacy (12 papers), Nutritional Studies and Diet (8 papers) and Genetic Associations and Epidemiology (8 papers). Akira Narita is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (12 papers), Nutritional Studies and Diet (8 papers) and Genetic Associations and Epidemiology (8 papers). Akira Narita collaborates with scholars based in Japan, Germany and United States. Akira Narita's co-authors include Tomohiro Nakamura, Tetsutaro Yamaguchi, Naho Tsuchiya, Ikuo Inoue, Ichiro Tsuji, Naoki Nakaya, Koutarou MAKI, T. Kasuya, Mana Kogure and Hiroaki Tomita and has published in prestigious journals such as Nature Genetics, Scientific Reports and Neuroscience.

In The Last Decade

Akira Narita

90 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akira Narita Japan 17 190 171 100 91 83 97 836
Junichi Sugawara Japan 23 148 0.8× 384 2.2× 438 4.4× 23 0.3× 17 0.2× 141 2.0k
Richard D. Jones United Kingdom 23 176 0.9× 353 2.1× 94 0.9× 36 0.4× 21 0.3× 56 2.1k
Shu-Hui Wang Taiwan 18 55 0.3× 174 1.0× 64 0.6× 103 1.1× 6 0.1× 65 1.0k
Ronald C. Hansen United States 24 144 0.8× 135 0.8× 132 1.3× 161 1.8× 27 0.3× 76 1.5k
Hao Chang China 28 72 0.4× 646 3.8× 171 1.7× 36 0.4× 16 0.2× 93 2.0k
Gordon Jackson United States 19 56 0.3× 135 0.8× 60 0.6× 21 0.2× 26 0.3× 79 1.7k
Yinghui Jin China 19 26 0.1× 256 1.5× 133 1.3× 42 0.5× 80 1.0× 77 1.1k
Tzung‐Yi Tsai Taiwan 19 12 0.1× 73 0.4× 52 0.5× 119 1.3× 40 0.5× 69 1.1k
Richard J. Warren United States 22 363 1.9× 246 1.4× 186 1.9× 17 0.2× 77 0.9× 103 1.8k
Mark Griffin Australia 15 42 0.2× 126 0.7× 56 0.6× 61 0.7× 51 0.6× 34 1.3k

Countries citing papers authored by Akira Narita

Since Specialization
Citations

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

Fields of papers citing papers by Akira Narita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Narita

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Narita. A scholar is included among the top collaborators of Akira Narita 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 Akira Narita. Akira Narita 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.
Matsuzaki, Motomichi, et al.. (2025). Profiling of runs of homozygosity from whole-genome sequence data in Japanese biobank. Journal of Human Genetics. 70(6). 287–296.
2.
Ishikuro, Mami, Taku Obara, Akira Narita, et al.. (2025). Preeclampsia prediction with maternal and paternal polygenic risk scores: the TMM BirThree Cohort Study. Scientific Reports. 15(1). 13743–13743. 1 indexed citations
3.
Sato, Masahiro, Akimitsu Miyake, Yoshinori Shimajiri, et al.. (2024). Machine learning-based reproducible prediction of type 2 diabetes subtypes. Diabetologia. 67(11). 2446–2458. 8 indexed citations
4.
5.
6.
Sugawara, Yuka, Yosuke Hirakawa, Hajime Nagasu, et al.. (2022). Genome-wide association study of the risk of chronic kidney disease and kidney-related traits in the Japanese population: J-Kidney-Biobank. Journal of Human Genetics. 68(2). 55–64. 1 indexed citations
7.
Kotozaki, Yuka, Kozo Tanno, Kiyomi Sakata, et al.. (2021). Association between the social isolation and depressive symptoms after the great East Japan earthquake: findings from the baseline survey of the TMM CommCohort study. BMC Public Health. 21(1). 925–925. 16 indexed citations
8.
Takase, Masato, Tomohiro Nakamura, Naho Tsuchiya, et al.. (2021). Association between the combined fat mass and fat-free mass index and hypertension: The Tohoku Medical Megabank Community-based Cohort Study. Clinical and Experimental Hypertension. 43(7). 610–621. 9 indexed citations
9.
Narita, Akira, Masao Ueki, & Gen Tamiya. (2020). Artificial intelligence powered statistical genetics in biobanks. Journal of Human Genetics. 66(1). 61–65. 20 indexed citations
10.
Nakaya, Naoki, Tomohiro Nakamura, Naho Tsuchiya, et al.. (2020). Impact of the Great East Japan Earthquake on the Employment Status and Mental Health Conditions of Affected Coastal Communities. International Journal of Environmental Research and Public Health. 17(21). 8130–8130. 9 indexed citations
11.
Kogure, Mana, Naho Tsuchiya, Akira Narita, et al.. (2020). Relationship Between Calcium Intake and Impaired Activities of Daily Living in a Japanese Population: NIPPON DATA90. Journal of Epidemiology. 31(2). 119–124. 5 indexed citations
12.
Yang, Yunqing, Atsushi Hozawa, Mana Kogure, et al.. (2019). Dietary Inflammatory Index Positively Associated With High-Sensitivity C-Reactive Protein Level in Japanese From NIPPON DATA2010. Journal of Epidemiology. 30(2). 98–107. 21 indexed citations
13.
Odani, Mine, Akira Narita, Toshio Watanabe, et al.. (2006). Genome‐wide linkage disequilibrium in two Japanese beef cattle breeds. Animal Genetics. 37(2). 139–144. 26 indexed citations
14.
Krischek, Boris, Akira Narita, Hiroyuki Akagawa, et al.. (2006). Is there any evidence for linkage on chromosome 17cen in affected Japanese sib-pairs with an intracranial aneurysm?. Journal of Human Genetics. 51(5). 491–494. 10 indexed citations
15.
Yamaguchi, Tetsutaro, et al.. (2005). Genome-wide Linkage Analysis of Mandibular Prognathism in Korean and Japanese Patients. Journal of Dental Research. 84(3). 255–259. 91 indexed citations
16.
Nakaoka, Hirofumi, et al.. (2004). . Nihon Chikusan Gakkaiho. 75(3). 353–361. 3 indexed citations
17.
Narita, Akira. (1995). ENDOGENOUS FACTORS AFFECTING STERILITY IN OOCYTES OF AGED ANIMALS. 40(1). 57–65. 4 indexed citations
18.
Fujii, R, H Meguro, Akiko Higa, et al.. (1989). Bacteriological, pharmacokinetic and clinical studies on clarithromycin in the pediatric field. The Journal of Antibiotics. 42(2). 512–541. 1 indexed citations
19.
Fujii, R, Shintaro Hashira, Hiroshi Sakata, et al.. (1988). [Pharmacokinetics and clinical evaluation of ceftriaxone in neonates].. PubMed. 41(9). 1237–50. 2 indexed citations
20.
Katsura, Shigetoshi & Akira Narita. (1973). The Ground State of the Ising Model of the Simple Cubic Lattice with First, Second and Third Neighbor Interactions. Progress of Theoretical Physics. 50(4). 1426–1428. 12 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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