Kazuo Sato

2.4k total citations · 1 hit paper
18 papers, 969 citations indexed

About

Kazuo Sato is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Molecular Biology. According to data from OpenAlex, Kazuo Sato has authored 18 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Kazuo Sato's work include Reproductive biology and impacts on aquatic species (3 papers), Infant Development and Preterm Care (2 papers) and Neonatal Respiratory Health Research (2 papers). Kazuo Sato is often cited by papers focused on Reproductive biology and impacts on aquatic species (3 papers), Infant Development and Preterm Care (2 papers) and Neonatal Respiratory Health Research (2 papers). Kazuo Sato collaborates with scholars based in Japan and United States. Kazuo Sato's co-authors include Kenji Saga, Won-Ho Kang, Kohji Ueda, H Iwao, Tsutomu Kondo, Kazumoto Shibuya, Sunao Honda, Makoto Mizutani, Masaru Wada and Masahiro Hayakawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Pediatrics and Journal of the American Academy of Dermatology.

In The Last Decade

Kazuo Sato

17 papers receiving 927 citations

Hit Papers

Biology of sweat glands and their disorders. I. Normal sw... 1989 2026 2001 2013 1989 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuo Sato Japan 10 427 141 117 114 106 18 969
Rinaldo Roberto de Jesus Guirro Brazil 20 345 0.8× 146 1.0× 90 0.8× 117 1.0× 73 0.7× 130 1.3k
Gianpaolo Ronconi Italy 23 276 0.6× 98 0.7× 143 1.2× 60 0.5× 150 1.4× 88 1.4k
Lara Jansiski Motta Brazil 23 219 0.5× 148 1.0× 52 0.4× 261 2.3× 127 1.2× 172 1.6k
Rosa Grazia Bellomo Italy 20 226 0.5× 77 0.5× 215 1.8× 33 0.3× 91 0.9× 83 1.6k
Karolina Sieroń–Stołtny Poland 20 192 0.4× 148 1.0× 108 0.9× 153 1.3× 83 0.8× 81 911
Luciana Reis de Azevedo Brazil 11 440 1.0× 82 0.6× 153 1.3× 53 0.5× 64 0.6× 21 980
Doron J. Aframian Israel 21 843 2.0× 147 1.0× 225 1.9× 165 1.4× 68 0.6× 73 1.8k
Paulo de Tarso Camillo de Carvalho Brazil 36 399 0.9× 167 1.2× 208 1.8× 146 1.3× 146 1.4× 131 3.5k
Chris Anderson Sweden 20 260 0.6× 191 1.4× 188 1.6× 85 0.7× 52 0.5× 97 1.7k
Kenji Saga Japan 14 560 1.3× 156 1.1× 254 2.2× 92 0.8× 150 1.4× 40 1.3k

Countries citing papers authored by Kazuo Sato

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuo Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Sato. A scholar is included among the top collaborators of Kazuo Sato 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 Kazuo Sato. Kazuo Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Furuno, Kenji, Kenichiro Yamamura, Junji Kishimoto, et al.. (2021). Assessment of Pediatric Admissions for Kawasaki Disease or Infectious Disease During the COVID-19 State of Emergency in Japan. JAMA Network Open. 4(4). e214475–e214475. 27 indexed citations
2.
Ogawa, Masanobu, et al.. (2021). Attitude changes toward prenatal testing among women with twin pregnancies after the introduction of noninvasive prenatal testing: A single‐center study in Japan. Journal of obstetrics and gynaecology research. 47(11). 3813–3820. 1 indexed citations
3.
Matsushita, Yuki, et al.. (2021). An infant with type II Gaucher disease treated with enzyme replacement therapy. Pediatrics International. 64(1). e14873–e14873. 2 indexed citations
4.
Takeuchi, Akihito, Tatsuya Ogino, Tatsuya Koeda, et al.. (2018). Intelligence test at preschool-age predicts reading difficulty among school-aged very low birth weight infants in Japan. Brain and Development. 40(9). 735–742. 1 indexed citations
5.
Inoue, Hirosuke, Masayuki Ochiai, Masataka Ishimura, et al.. (2018). Diagnostic challenge of the newborn patients with heritable protein C deficiency. Journal of Perinatology. 39(2). 212–219. 7 indexed citations
6.
Takeuchi, Akihito, Tatsuya Koeda, T Takayanagi, et al.. (2016). Reading difficulty in school-aged very low birth weight infants in Japan. Brain and Development. 38(9). 800–806. 7 indexed citations
7.
Ogawa, Masanobu, Kazuo Sato, & Takashi Kanda. (2013). Confined Blood Chimerism in Monochorionic Dizygotic Twins Conceived Spontaneously. SHILAP Revista de lepidopterología. 3(1). 33–36. 12 indexed citations
8.
Ochiai, Masayuki, Hideki Nakayama, Kazuo Sato, et al.. (2008). Head circumference and long-term outcome in small-for-gestational age infants. Journal of Perinatal Medicine. 36(4). 341–7. 16 indexed citations
9.
Babazono, Akira, Hiroyuki Kitajima, Shigeru Nishimaki, et al.. (2008). Risk factors for nosocomial infection in the neonatal intensive care unit by the Japanese Nosocomial Infection Surveillance (JANIS).. PubMed. 62(4). 261–8. 49 indexed citations
10.
Shibuya, Kazumoto, et al.. (2005). Vitellogenin detection and chick pathology are useful endpoints to evaluate endocrine-disrupting effects in avian one-generation reproduction study. Environmental Toxicology and Chemistry. 24(7). 1654–1666. 20 indexed citations
11.
Shibuya, Kazumoto, et al.. (2005). Comparative Evaluation of Sex Reversal Effects of Natural and Synthetic Estrogens in Sex Reversal Test Using F1 (AWE*WE) Japanese Quail Embryos. The Journal of Poultry Science. 42(2). 119–129. 12 indexed citations
12.
Shibuya, Kazumoto, Makoto Mizutani, Masaru Wada, Kazuo Sato, & Tetsuo Nunoya. (2004). A New Screening Model Using F1(AWE * WE) Japanese Quail Embryo for Evaluating Sex Reversal Effects. Journal of Toxicologic Pathology. 17(4). 245–252. 10 indexed citations
13.
Nagasaki, Akira, et al.. (2003). Intestinal Obstruction Caused by Congenital Cytomegalovirus Infection: Report of a Case. Surgery Today. 33(10). 764–767. 6 indexed citations
14.
Sato, Kazuo, Tsutomu Kondo, H Iwao, Sunao Honda, & Kohji Ueda. (1995). Internal potassium shift in premature infants: Cause of nonoliguric hyperkalemia. The Journal of Pediatrics. 126(1). 109–113. 42 indexed citations
15.
Sato, Kazuo, Tsutomu Kondo, H Iwao, Shinji Honda, & Kohji Ueda. (1991). Sodium and Potassium in Red Blood Cells of Premature Infants during the First Few Days: Risk of Hyperkalaemia. Acta Paediatrica. 80(10). 899–904. 9 indexed citations
16.
Kang, Won-Ho, et al.. (1989). Biology of sweat glands and their disorders. II. Disorders of sweat gland function. Journal of the American Academy of Dermatology. 20(5). 713–726. 208 indexed citations
17.
Sato, Kazuo, et al.. (1989). Biology of sweat glands and their disorders. I. Normal sweat gland function. Journal of the American Academy of Dermatology. 20(4). 537–563. 536 indexed citations breakdown →

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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