Toshimi Sairenchi

8.3k total citations · 1 hit paper
107 papers, 3.6k citations indexed

About

Toshimi Sairenchi is a scholar working on Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Toshimi Sairenchi has authored 107 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Public Health, Environmental and Occupational Health, 27 papers in Cardiology and Cardiovascular Medicine and 24 papers in Epidemiology. Recurrent topics in Toshimi Sairenchi's work include Health Promotion and Cardiovascular Prevention (13 papers), Obesity, Physical Activity, Diet (12 papers) and Blood Pressure and Hypertension Studies (12 papers). Toshimi Sairenchi is often cited by papers focused on Health Promotion and Cardiovascular Prevention (13 papers), Obesity, Physical Activity, Diet (12 papers) and Blood Pressure and Hypertension Studies (12 papers). Toshimi Sairenchi collaborates with scholars based in Japan, India and United States. Toshimi Sairenchi's co-authors include Fujiko Irie, Hiroyasu Iso, Kazumasa Yamagishi, Hitoshi Ota, Takashi Muto, Kunihiro Yamagata, Kumiko Ishida, Hideto Takahashi, Shuji Ohba and M Narita and has published in prestigious journals such as The Lancet, Circulation and PLoS ONE.

In The Last Decade

Toshimi Sairenchi

104 papers receiving 3.5k citations

Hit Papers

align trajectories

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.

Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis

2012 976 citations Toshimi Sairenchi, Kazumasa Yamagishi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Toshimi Sairenchi Japan	29	1.0k	973	837	588	486	107	3.6k
Nathan R. Hill United Kingdom	24	1.5k 1.4×	748 0.8×	844 1.0×	461 0.8×	250 0.5×	59	4.2k
Guichan Cao United States	29	524 0.5×	902 0.9×	607 0.7×	715 1.2×	622 1.3×	50	3.6k
Zhengjing Huang China	24	456 0.4×	782 0.8×	1.1k 1.4×	860 1.5×	740 1.5×	64	4.5k
Ana C. Ricardo United States	34	1.5k 1.5×	652 0.7×	311 0.4×	382 0.6×	384 0.8×	93	3.3k
Shao‐Yuan Chuang Taiwan	37	815 0.8×	2.0k 2.0×	735 0.9×	614 1.0×	585 1.2×	157	4.8k
Eduardo Farinaro Italy	37	442 0.4×	828 0.9×	694 0.8×	775 1.3×	546 1.1×	99	3.8k
Sofia B. Ahmed Canada	35	942 0.9×	716 0.7×	410 0.5×	271 0.5×	529 1.1×	168	3.9k
Massimo Círillo Italy	36	1.9k 1.8×	1.1k 1.2×	540 0.6×	871 1.5×	413 0.8×	195	5.1k
Chris Isles United Kingdom	20	515 0.5×	924 0.9×	1.2k 1.4×	556 0.9×	305 0.6×	73	3.2k
Mieczysław Litwin Poland	34	663 0.6×	2.2k 2.2×	630 0.8×	345 0.6×	1.0k 2.1×	151	4.7k

Countries citing papers authored by Toshimi Sairenchi

Since Specialization

Citations

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

Fields of papers citing papers by Toshimi Sairenchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshimi Sairenchi

This figure shows the co-authorship network connecting the top 25 collaborators of Toshimi Sairenchi. A scholar is included among the top collaborators of Toshimi Sairenchi 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 Toshimi Sairenchi. Toshimi Sairenchi 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

Nagai, Kei, Shin Araki, Toshimi Sairenchi, et al.. (2024). Particulate Matter and Incident Chronic Kidney Disease in Japan: The Ibaraki Prefectural Health Study (IPHS). JMA Journal. 7(3). 334–335. 1 indexed citations

Iso, Hiroyasu, Midori Noguchi, Tetsuji Yokoyama, et al.. (2023). Effect of a Community-Based Program to Accelerate Referral to Physicians for Individuals at High-Risk of Lifestyle-Related Diseases: A Cluster Randomized Trial. Journal of Atherosclerosis and Thrombosis. 30(10). 1389–1406. 2 indexed citations

Noguchi, Midori, Toshimi Sairenchi, Miyae Yamakawa, et al.. (2022). Relationship between Health Counselor Characteristics and Counseling Impact on Individuals at High-Risk for Lifestyle-Related Disease: Sub-Analysis of the J-HARP Cluster-Randomized Controlled Trial. International Journal of Environmental Research and Public Health. 19(11). 6375–6375. 3 indexed citations

Ishizu, Tomoko, Toshimi Sairenchi, Kazumasa Yamagishi, et al.. (2021). Right bundle branch block and risk of cardiovascular mortality: the Ibaraki Prefectural Health Study. Heart and Vessels. 37(4). 609–618. 3 indexed citations

Inoue, Hiromichi, Jun Matsushima, Satoru Kobayashi, et al.. (2021). Expression of SATB2 in Neuroendocrine Carcinomas of the Lung: Frequent Immunopositivity of Large Cell Neuroendocrine Carcinoma with a Diagnostic Pitfall. International Journal of Surgical Pathology. 30(2). 151–159. 1 indexed citations

Uchiyama, Köji, Yasuo Haruyama, Daiki Abukawa, et al.. (2020). Association between Passive Smoking from the Mother and Pediatric Crohn’s Disease: A Japanese Multicenter Study. International Journal of Environmental Research and Public Health. 17(8). 2926–2926. 8 indexed citations

Zaitsu, Masayoshi, Izumi Oki, Yasuo Haruyama, et al.. (2020). Recent Increasing Incidence of Early-Stage Cervical Cancers of the Squamous Cell Carcinoma Subtype among Young Women. International Journal of Environmental Research and Public Health. 17(20). 7401–7401. 11 indexed citations

Hayashi, Shujiro, Satoko Ishikawa, Yoichiro Hamasaki, et al.. (2020). Anti-Inflammatory Effects of Potassium Iodide on SDS-Induced Murine Skin Inflammation. Journal of Investigative Dermatology. 140(10). 2001–2008. 9 indexed citations

Satoh, Michihiro, Takayoshi Ohkubo, Kei Asayama, et al.. (2020). A Combination of Blood Pressure and Total Cholesterol Increases the Lifetime Risk of Coronary Heart Disease Mortality: EPOCH–JAPAN. Journal of Atherosclerosis and Thrombosis. 28(1). 6–24. 17 indexed citations

10.

Ichikawa, Go, Yoshinori Ikenaka, Takahiro Ichise, et al.. (2019). LC-ESI/MS/MS analysis of neonicotinoids in urine of very low birth weight infants at birth. PLoS ONE. 14(7). e0219208–e0219208. 67 indexed citations

11.

Umesawa, Mitsumasa, et al.. (2019). Relationships between dipstick proteinuria and risk of hearing impairment among Japanese workers: a prospective cohort study. BMJ Open. 9(11). e028767–e028767. 7 indexed citations

12.

Umesawa, Mitsumasa, Toshimi Sairenchi, Yasuo Haruyama, Masanori Nagao, & Gén Kobashi. (2019). Association between hypertension and hearing impairment in health check-ups among Japanese workers: a cross-sectional study. BMJ Open. 9(4). e028392–e028392. 22 indexed citations

13.

Haruyama, Yasuo, Ayako Nakagawa, Kumiko Kato, et al.. (2019). Incidence of Metabolic Syndrome in Young Japanese Adults in a 6-Year Cohort Study: The Uguisudani Preventive Health Large-Scale Cohort Study (UPHLS). Journal of Epidemiology. 30(5). 219–226. 7 indexed citations

14.

Haruyama, Yasuo, Motoki Endo, Masanori Nagao, et al.. (2017). Personal status of general health checkups and medical expenditure: A large-scale community-based retrospective cohort study. Journal of Epidemiology. 27(5). 209–214. 10 indexed citations

15.

Nagao, Masanori, et al.. (2017). Distribution of serum 25-hydroxyvitamin D levels of reproductive age Japanese women.. PubMed. 64(3). 133–142. 3 indexed citations

16.

Koyama, Satomi, Toshimi Sairenchi, & Osamu Arisaka. (2015). Early Onset of Adiposity Rebound is Associated with Higher Leptin Concentrations in 12-Year-Old Children. 84. 1 indexed citations

17.

Ichikawa, Go, et al.. (2015). Safety of lipid emulsion in very low‐birthweight infants according to cytokine level. Pediatrics International. 58(7). 556–561. 1 indexed citations

18.

Sasai, Hiroyuki, Toshimi Sairenchi, Fujiko Irie, et al.. (2010). Long-term exposure to elevated blood pressure and mortality from cardiovascular disease in a Japanese population: the Ibaraki Prefectural Health Study. Hypertension Research. 34(1). 139–144. 12 indexed citations

19.

Sairenchi, Toshimi, Hiroyasu Iso, Fujiko Irie, et al.. (2005). Age-Specific Relationship between Blood Pressure and the Risk of Total and Cardiovascular Mortality in Japanese Men and Women. Hypertension Research. 28(11). 901–909. 40 indexed citations

20.

Tamura, Kazuki, et al.. (1995). [Yearly changes and geographical distribution of allergic rhinitis morbidity estimated from records of the national health insurance].. PubMed. 42(3). 194–202. 3 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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