Akiko Tamakoshi

36.2k total citations · 1 hit paper
593 papers, 19.8k citations indexed

About

Akiko Tamakoshi is a scholar working on Public Health, Environmental and Occupational Health, Oncology and Physiology. According to data from OpenAlex, Akiko Tamakoshi has authored 593 papers receiving a total of 19.8k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Public Health, Environmental and Occupational Health, 120 papers in Oncology and 109 papers in Physiology. Recurrent topics in Akiko Tamakoshi's work include Nutritional Studies and Diet (119 papers), Cancer Risks and Factors (68 papers) and Health disparities and outcomes (43 papers). Akiko Tamakoshi is often cited by papers focused on Nutritional Studies and Diet (119 papers), Cancer Risks and Factors (68 papers) and Health disparities and outcomes (43 papers). Akiko Tamakoshi collaborates with scholars based in Japan, United States and India. Akiko Tamakoshi's co-authors include Hiroyasu Iso, Kenji Wakai, Shogo Kikuchi, Yoshiyuki Ohno, Yutaka Inaba, Chigusa Date, Yoshiyuki Watanabe, Yingsong Lin, Hideaki Toyoshima and Takashi Kawamura and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Akiko Tamakoshi

576 papers receiving 19.1k citations

Hit Papers

The association between l... 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The association between long working hours and health: A systematic review of epidemiological evidence
    2013 468 citations Akiko Tamakoshi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akiko Tamakoshi Japan 72 4.0k 3.2k 3.0k 2.6k 2.5k 593 19.8k
Meir J. Stampfer United States 55 5.0k 1.3× 1.9k 0.6× 2.8k 0.9× 2.5k 1.0× 2.4k 0.9× 116 18.2k
Manami Inoue Japan 73 4.6k 1.1× 4.7k 1.5× 2.6k 0.9× 3.9k 1.5× 3.3k 1.3× 570 20.2k
Susanna C. Larsson Sweden 84 5.5k 1.4× 4.4k 1.4× 3.8k 1.3× 2.8k 1.1× 4.6k 1.8× 460 25.0k
Dagfinn Aune United Kingdom 62 6.0k 1.5× 3.2k 1.0× 3.7k 1.3× 1.7k 0.6× 2.0k 0.8× 190 17.0k
Diane Feskanich United States 64 5.1k 1.3× 2.5k 0.8× 3.5k 1.2× 1.5k 0.6× 1.7k 0.7× 127 16.5k
Lars J. Vatten Norway 76 4.5k 1.1× 2.9k 0.9× 3.0k 1.0× 1.5k 0.6× 1.9k 0.8× 330 20.9k
Karen Johnson United States 60 3.8k 1.0× 2.9k 0.9× 3.5k 1.2× 1.5k 0.6× 1.6k 0.6× 332 17.9k
Göran Hallmans Sweden 67 2.4k 0.6× 2.2k 0.7× 2.6k 0.9× 1.5k 0.6× 3.3k 1.3× 334 15.2k
Francine Grodstein United States 80 4.0k 1.0× 1.6k 0.5× 4.1k 1.4× 2.4k 0.9× 1.6k 0.6× 342 22.4k
Ichiro Tsuji Japan 72 3.3k 0.8× 2.3k 0.7× 2.8k 0.9× 3.3k 1.3× 1.4k 0.5× 623 21.4k

Countries citing papers authored by Akiko Tamakoshi

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Tamakoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Tamakoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Tamakoshi. A scholar is included among the top collaborators of Akiko Tamakoshi 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 Akiko Tamakoshi. Akiko Tamakoshi 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.
Eshak, Ehab S., et al.. (2025). Consumption of salt and high-salt foods and the risks of oral, pharyngeal and oesophageal cancers: the JACC Study. British Journal Of Nutrition. 135(1). 82–88.
2.
Sakaniwa, Ryoto, Kokoro Shirai, Hironori Imano, et al.. (2024). Associations between Supper Timing and Mortality from Cardiovascular Disease among People with and without Hypertension. Journal of Atherosclerosis and Thrombosis. 31(7). 1098–1105.
3.
Kimura, Takashi, Shigekazu Ukawa, Hideki Ohira, et al.. (2023). Dual decline in subjective gait speed and domain-specific cognition is associated with higher risk of incident dementia in older Japanese adults: A 15-year age-specific cohort study. Archives of Gerontology and Geriatrics. 117. 105254–105254. 3 indexed citations
4.
Shimizu, Yu, Ryodai Yamamura, Yuki Yokoi, et al.. (2023). Shorter sleep time relates to lower human defensin 5 secretion and compositional disturbance of the intestinal microbiota accompanied by decreased short-chain fatty acid production. Gut Microbes. 15(1). 2190306–2190306. 31 indexed citations
5.
Okada, Emiko, Takumi Hirata, Hidemi Takimoto, et al.. (2023). Nutritional Adequacy Assessment of the Japanese Diet Using the Number of Dishes Compared to Existing Dietary Diversity Indices: A Cross-Sectional Analysis from the 2012 National Health and Nutrition Survey, Japan. Journal of Nutritional Science and Vitaminology. 69(3). 197–205. 4 indexed citations
6.
Saito, Yoshihiro, et al.. (2023). Relationship between out‐of‐facility deliveries and distance and travel time to delivery facilities in Hokkaido, Japan: An ecological study. Journal of obstetrics and gynaecology research. 49(3). 930–937.
7.
Teramoto, Masayuki, et al.. (2022). Association of Physical Activity with Aortic Disease in Japanese Men and Women: The Japan Collaborative Cohort Study. Journal of Atherosclerosis and Thrombosis. 30(4). 408–414. 1 indexed citations
8.
Tsuzuki, Shinya, et al.. (2022). Does the experience of the first assistant affect organ injuries in laparoscopic hysterectomy for benign diseases?. Archives of Gynecology and Obstetrics. 307(2). 453–458. 1 indexed citations
9.
Adachi, Yasushi, Masanori Nojima, Mitsuru Mori, et al.. (2022). Serum Soluble Fas Levels and Incidence of Liver Cancer in Nested Case–Control Study. Cancer Epidemiology Biomarkers & Prevention. 32(2). 260–265. 1 indexed citations
10.
Teramoto, Masayuki, Hiroyasu Iso, Kenji Wakai, & Akiko Tamakoshi. (2021). Secondhand Smoke Exposure During Childhood and Cancer Mortality in Adulthood Among Never Smokers: The Japan Collaborative Cohort Study for Evaluation of Cancer Risk. American Journal of Epidemiology. 191(5). 834–842. 8 indexed citations
11.
Kimura, Takashi, et al.. (2021). Effective vaccine allocation strategies, balancing economy with infection control against COVID-19 in Japan. PLoS ONE. 16(9). e0257107–e0257107. 16 indexed citations
12.
Ukawa, Shigekazu, Akiko Tamakoshi, Yutaka Okada, et al.. (2020). Social participation patterns and the incidence of functional disability: The Japan Gerontological Evaluation Study. Geriatrics and gerontology international. 20(8). 765–772. 21 indexed citations
13.
Miya, Aika, Akinobu Nakamura, Hideaki Miyoshi, et al.. (2020). Correlation between serum proinsulin levels and fatty liver: The Dynamics of Lifestyle and Neighborhood Community on Health Study. Journal of Diabetes Investigation. 11(4). 964–970. 6 indexed citations
14.
Tanaka, Keitaro, Akiko Tamakoshi, Yumi Sugawara, et al.. (2019). Coffee, green tea and liver cancer risk: an evaluation based on a systematic review of epidemiologic evidence among the Japanese population. Japanese Journal of Clinical Oncology. 49(10). 972–984. 18 indexed citations
15.
Kojima, Reiji, Shigekazu Ukawa, Wenjing Zhao, et al.. (2018). Association of Adiponectin With Cancer and All-Cause Mortality in a Japanese Community-Dwelling Elderly Cohort: A Case-Cohort Study. Journal of Epidemiology. 28(8). 367–372. 4 indexed citations
16.
Mori, Mitsuru, Yasushi Adachi, Kenji Wakai, et al.. (2016). Diabetes Mellitus and Risk of Colorectal Cancer Mortality inJapan: the Japan Collaborative Cohort Study. Europe PMC (PubMed Central). 17(10). 4681–4688. 10 indexed citations
17.
Lin, Yingsong, et al.. (2013). Active and passive smoking and risk of death from pancreatic cancer: Findings from the Japan Collaborative Cohort Study. Pancreatology. 13(3). 279–284. 13 indexed citations
18.
Ohfuji, Satoko, Wakaba Fukushima, Akiko Tamakoshi, et al.. (2012). Prognostic factors in patients with idiopathic portal hypertension: Two Japanese nationwide epidemiological surveys in 1999 and 2005. Hepatology Research. 42(12). 1211–1220. 16 indexed citations
19.
Iijima, Masahiro, Haruki Koike, Nobutaka Hattori, et al.. (2008). Prevalence and incidence rates of chronic inflammatory demyelinating polyneuropathy in the Japanese population. Journal of Neurology Neurosurgery & Psychiatry. 79(9). 1040–1043. 71 indexed citations
20.
Kojima, Masayo, Kenji Wakai, Shinkan Tokudome, et al.. (2005). Perceived Psychologic Stress and Colorectal Cancer Mortality: Findings From the Japan Collaborative Cohort Study. Psychosomatic Medicine. 67(1). 72–77. 29 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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