Ikuo Sato

5.6k total citations · 1 hit paper
242 papers, 4.4k citations indexed

About

Ikuo Sato is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Ikuo Sato has authored 242 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Obstetrics and Gynecology, 48 papers in Pediatrics, Perinatology and Child Health and 38 papers in Molecular Biology. Recurrent topics in Ikuo Sato's work include Pregnancy and preeclampsia studies (45 papers), Ovarian cancer diagnosis and treatment (20 papers) and Assisted Reproductive Technology and Twin Pregnancy (20 papers). Ikuo Sato is often cited by papers focused on Pregnancy and preeclampsia studies (45 papers), Ovarian cancer diagnosis and treatment (20 papers) and Assisted Reproductive Technology and Twin Pregnancy (20 papers). Ikuo Sato collaborates with scholars based in Japan, Philippines and United States. Ikuo Sato's co-authors include Hisanori Minakami, Mitsuaki Suzuki, Shigeki Matsubara, Yoshihiro Kikuchi, Toru Sugiyama, Kouji Taguchi, Naoki Terakawa, T Kita, Junzo Kigawa and Toshiharu Kamura and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ikuo Sato

237 papers receiving 4.2k citations

Hit Papers

Clinical characteristics of clear cell carcinoma of the o... 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ikuo Sato Japan 31 1.3k 992 949 666 641 242 4.4k
Liping Jin China 37 893 0.7× 1.4k 1.4× 851 0.9× 296 0.4× 745 1.2× 139 4.5k
Jing Du China 33 338 0.3× 338 0.3× 2.3k 2.4× 455 0.7× 401 0.6× 148 4.6k
Jing Dai China 33 367 0.3× 198 0.2× 1.7k 1.8× 327 0.5× 578 0.9× 199 3.8k
Gere S. diZerega United States 45 1.8k 1.3× 596 0.6× 664 0.7× 182 0.3× 1.3k 2.1× 238 6.9k
Hongyan Guo China 30 355 0.3× 190 0.2× 1.4k 1.5× 68 0.1× 232 0.4× 165 3.2k
F. Ferré France 26 159 0.1× 359 0.4× 820 0.9× 236 0.4× 163 0.3× 114 2.5k
Christina Maeda Takiya Brazil 39 149 0.1× 174 0.2× 1.3k 1.4× 117 0.2× 589 0.9× 227 5.4k
Fei Gao China 35 172 0.1× 122 0.1× 1.5k 1.6× 188 0.3× 182 0.3× 131 3.1k
Lu Li China 42 253 0.2× 88 0.1× 2.3k 2.4× 104 0.2× 246 0.4× 329 6.1k
Antonio De Luca Italy 45 115 0.1× 436 0.4× 3.4k 3.6× 215 0.3× 113 0.2× 229 7.2k

Countries citing papers authored by Ikuo Sato

Since Specialization
Citations

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

Fields of papers citing papers by Ikuo Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuo Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Ikuo Sato. A scholar is included among the top collaborators of Ikuo 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 Ikuo Sato. Ikuo Sato 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.
Sato, Ikuo, et al.. (2025). Detection, isolation, and identification of Rhizoctonia theobromae associated with cassava witches’ broom disease in the Philippines. Physiological and Molecular Plant Pathology. 140. 102872–102872.
2.
Kato, Hiroaki, Kentaro Matsuda, Atsushi Miura, et al.. (2024). Two structurally different oomycete lipophilic microbe-associated molecular patterns induce distinctive plant immune responses. PLANT PHYSIOLOGY. 196(1). 479–494. 4 indexed citations
3.
4.
Camagna, Maurizio, et al.. (2023). Leaf blight of rice-paper plant, Tetrapanax papyrifer, caused by Neofusicoccum parvum: a potential source of stem rot diseases of mango and grape. Journal of General Plant Pathology. 89(3). 179–184. 1 indexed citations
5.
Kato, Hiroaki, Maurizio Camagna, Aiko Tanaka, et al.. (2023). Induction of plant disease resistance by mixed oligosaccharide elicitors prepared from plant cell wall and crustacean shells. Physiologia Plantarum. 175(5). e14052–e14052. 18 indexed citations
6.
Suzuki, Shigenori, et al.. (2023). Neoxanthin is undetectable in human blood after ingestion of fresh young spinach leaf. PLoS ONE. 18(7). e0288143–e0288143. 5 indexed citations
7.
Fuke, Nobuo, Shojiro Sawada, Kumi Y. Inoue, et al.. (2023). Relationship between Plasma Lipopolysaccharide Concentration and Health Status in Healthy Subjects and Patients with Abnormal Glucose Metabolism in Japan: A Preliminary Cross-Sectional Study. SHILAP Revista de lepidopterología. 6(4). 605–626. 2 indexed citations
8.
9.
Camagna, Maurizio, Aiko Tanaka, Ikuo Sato, et al.. (2023). Botrytis cinerea tolerates phytoalexins produced by Solanaceae and Fabaceae plants through an efflux transporter BcatrB and metabolizing enzymes. Frontiers in Plant Science. 14. 1177060–1177060. 16 indexed citations
10.
Suzuki, Takamasa, Aiko Tanaka, Maurizio Camagna, et al.. (2022). Botrytis cinerea identifies host plants via the recognition of antifungal capsidiol to induce expression of a specific detoxification gene. PNAS Nexus. 1(5). pgac274–pgac274. 20 indexed citations
11.
Salaipeth, Lakha, Subha Das, Hideki Kondō, et al.. (2021). Omnipresence of Partitiviruses in Rice Aggregate Sheath Spot Symptom-Associated Fungal Isolates from Paddies in Thailand. Viruses. 13(11). 2269–2269. 6 indexed citations
13.
Takayama, Takeshi, Takuya Mishima, Miki Mori, et al.. (2005). Sexually Dimorphic Expression of the Novel Germ Cell Antigen TEX101 During Mouse Gonad Development. Biology of Reproduction. 72(6). 1315–1323. 34 indexed citations
14.
Ohkuchi, Akihide, Itsuko Furuta, Toshiyuki Ojima, et al.. (2002). Relationship between blood pressure level in early pregnancy and subsequent changes in blood pressure during pregnancy. Acta Obstetricia Et Gynecologica Scandinavica. 81(10). 918–925.
15.
Shibahara, Hiroaki, Hiromi Obara, Akiyo Taneichi, et al.. (2002). Influence of endometrial thickness and pattern on pregnancy rates in in vitro fertilization‐embryo transfer. Reproductive Medicine and Biology. 1(1). 17–21. 10 indexed citations
16.
Minakami, Hisanori, et al.. (2000). Risk of premature birth in multifetal pregnancy. Twin Research. 3(1). 2–6. 5 indexed citations
17.
Minakami, Hisanori, et al.. (2000). Risk of premature birth in multifetal pregnancy. Twin Research. 3(1). 2–6. 10 indexed citations
19.
Yin, Shi-an, et al.. (1991). The Necessity of Dietary Vitamin B6 to Selenium Biopotency for Tissue Selenium and Glutathione Peroxidase in Rats.. Journal of Nutritional Science and Vitaminology. 37(5). 509–516. 17 indexed citations
20.
Yin, Shi-an, et al.. (1991). Effects of dietary zinc and cadmium on tissue selenium concentration and glutathione peroxidase activity in rats fed DL-selenomethionine or sodium selenite.. Journal of Nutritional Science and Vitaminology. 37(1). 29–37. 13 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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