Satoru Tsujii

2.0k total citations
63 papers, 1.4k citations indexed

About

Satoru Tsujii is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, Satoru Tsujii has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in Satoru Tsujii's work include Diabetes Management and Research (16 papers), Diabetes Management and Education (15 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers). Satoru Tsujii is often cited by papers focused on Diabetes Management and Research (16 papers), Diabetes Management and Education (15 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers). Satoru Tsujii collaborates with scholars based in Japan, United States and Sweden. Satoru Tsujii's co-authors include George A. Bray, Hitoshi Ishii, Yasuaki Hayashino, Shintaro Okamura, Tsuyoshi Mashitani, Norio Fukumori, Shunichi Fukuhara, Jeffrey L. Jackson, Takumi Hirata and Fumiaki Nakamura and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Satoru Tsujii

60 papers receiving 1.4k citations

Peers

Satoru Tsujii
Ji Hee Yu South Korea
Suzette Y. Osei United States
Ulf Elbelt Germany
Naoyuki Takashima Japan
C. Tsigos Greece
K Tokunaga Japan
Norman K. Pollock United States
Ann Taylor United Kingdom
Esben Thyssen Vestergaard Denmark
Paula E. Papanek United States
Ji Hee Yu South Korea
Satoru Tsujii
Citations per year, relative to Satoru Tsujii Satoru Tsujii (= 1×) peers Ji Hee Yu

Countries citing papers authored by Satoru Tsujii

Since Specialization
Citations

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

Fields of papers citing papers by Satoru Tsujii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoru Tsujii

This figure shows the co-authorship network connecting the top 25 collaborators of Satoru Tsujii. A scholar is included among the top collaborators of Satoru Tsujii 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 Satoru Tsujii. Satoru Tsujii 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.
Nishiwaki, Hiroki, Kakuya Niihata, Satoshi Matsunaga, et al.. (2022). Urinary C-megalin as a novel biomarker of progression to microalbuminuria: A cohort study based on the diabetes Distress and Care Registry at Tenri (DDCRT 22). Diabetes Research and Clinical Practice. 186. 109810–109810. 6 indexed citations
2.
Hayashino, Yasuaki, Shintaro Okamura, Tsuyoshi Mashitani, Satoru Tsujii, & Hitoshi Ishii. (2018). Association of proton pump inhibitor use with the risk of the development or progression of albuminuria among Japanese patients with diabetes: A prospective cohort study [Diabetes Distress and Care Registry at Tenri (DDCRT 16)]. Diabetes Research and Clinical Practice. 138. 1–7.
3.
4.
Tsujii, Satoru, et al.. (2016). A case of variant hemoglobin hbc in a non-diabetic subject treated with anti-diabetic drugs due to falsely high hba1c levels measured by an immunoassay. 59(7). 463–468. 1 indexed citations
5.
6.
Mashitani, Tsuyoshi, Yasuaki Hayashino, Shintaro Okamura, et al.. (2013). Patient-reported adherence to insulin regimen is associated with glycemic control among Japanese patients with type 2 diabetes: Diabetes Distress and Care Registry at Tenri (DDCRT 3). Diabetes Research and Clinical Practice. 100(2). 189–194. 27 indexed citations
7.
Hayashino, Yasuaki, Jeffrey L. Jackson, Takumi Hirata, et al.. (2013). Effects of exercise on C-reactive protein, inflammatory cytokine and adipokine in patients with type 2 diabetes: A meta-analysis of randomized controlled trials. Metabolism. 63(3). 431–440. 186 indexed citations
8.
Hayashino, Yasuaki, Shintaro Okamura, Satoshi Matsunaga, Satoru Tsujii, & Hitoshi Ishii. (2012). The association between Problem Areas in Diabetes Scale scores and glycemic control is modified by types of diabetes therapy: Diabetes Distress and Care Registry in Tenri (DDCRT 2). Diabetes Research and Clinical Practice. 97(3). 405–410. 27 indexed citations
9.
Hayashino, Yasuaki, et al.. (2010). Comparative validity of the WHO-5 Well-Being Index and two-question instrument for screening depressive symptoms in patients with type 2 diabetes. Acta Diabetologica. 50(2). 117–121. 38 indexed citations
10.
Ishii, Hitoshi, et al.. (2008). Quality of Life in Insulin-treated Patients. 51(7). 601–608. 6 indexed citations
11.
Hayashi, Takashi, Satoru Tsujii, Tadao Iburi, et al.. (2007). Laughter up-regulates the genes related to NK cell activity in diabetes. Biomedical Research. 28(6). 281–285. 46 indexed citations
12.
Ishii, Hitoshi, et al.. (2005). Development of a New Questionnaire on Glycemic Control and its Application to Insulin-treated Patients to Investigate the Frequency of Hypoglycemia and Hyperglycemia. 48(1). 19–32. 1 indexed citations
13.
Tsujii, Satoru & George A. Bray. (1992). Food intake of lean and obese Zucker rats following ventricular infusions of adrenergic agonists. Brain Research. 587(2). 226–232. 46 indexed citations
14.
Tsujii, Satoru & George A. Bray. (1989). Acetylation alters the feeding response to MSH and beta-endorphin. Brain Research Bulletin. 23(3). 165–169. 144 indexed citations
15.
Tsujii, Satoru, Yoshikatsu Nakai, Junichi Fukata, et al.. (1988). Monoamine metabolism and its responses to food deprivation in the brain of Zucker rats. Physiology & Behavior. 44(4-5). 495–500. 18 indexed citations
16.
Tsujii, Satoru, Yoshikatsu Nakai, Hideo Takahashi, et al.. (1988). Effect of food deprivation on regional brain glucose utilization in lean and fatty Zucker rats. Brain Research. 475(2). 371–375. 4 indexed citations
17.
Nakai, Yoshikatsu, Fumiko Kinoshita, Toshikiyo Koh, Satoru Tsujii, & Toshihiko Tsukada. (1987). Taste function in patients with anorexia nervosa and bulimia nervosa. International Journal of Eating Disorders. 6(2). 257–265. 18 indexed citations
18.
Nakai, Yoshikatsu, Toshikiyo Koh, Fumiko Kinoshita, et al.. (1987). The prolactin, growth hormone, and cortisol responses to insulin-induced hypoglycemia in anorexia nervosa. International Journal of Eating Disorders. 6(3). 357–365. 4 indexed citations
19.
Tsujii, Satoru, Yoshikatsu Nakai, Junichi Fukata, et al.. (1987). Effects of food deprivation and high fat diet on immunoreactive dynorphin A(1–8) levels in brain regions of Zucker rats. Peptides. 8(6). 1075–1078. 7 indexed citations
20.
Tsujii, Satoru, Yoshikatsu Nakai, Junichi Fukata, et al.. (1986). Effects of food deprivation and high fat diet on opioid receptor binding in rat brain. Neuroscience Letters. 72(2). 169–173. 20 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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