Hiromi Sato

2.8k total citations
119 papers, 2.1k citations indexed

About

Hiromi Sato is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Hiromi Sato has authored 119 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 16 papers in Oncology and 14 papers in Physiology. Recurrent topics in Hiromi Sato's work include Connexins and lens biology (20 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Drug Transport and Resistance Mechanisms (9 papers). Hiromi Sato is often cited by papers focused on Connexins and lens biology (20 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Drug Transport and Resistance Mechanisms (9 papers). Hiromi Sato collaborates with scholars based in Japan, Australia and United States. Hiromi Sato's co-authors include Koichi Ueno, Tomohiro Yano, Noriko Nishimura, Yasunobu Aoki, Ken Itoh, Masayuki Yamamoto, Satoru Takahashi, Hiromi Hagiwara, Akihiro Hisaka and Nantiga Virgona and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Hiromi Sato

112 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiromi Sato Japan 25 1.0k 241 218 209 204 119 2.1k
Jing Xu China 29 1.4k 1.4× 295 1.2× 488 2.2× 198 0.9× 139 0.7× 116 2.9k
Kyung Eun Kim South Korea 31 1.3k 1.2× 273 1.1× 150 0.7× 194 0.9× 157 0.8× 97 2.9k
Lu Shen China 24 976 0.9× 343 1.4× 186 0.9× 142 0.7× 178 0.9× 106 2.3k
Xi Chu China 26 844 0.8× 149 0.6× 284 1.3× 92 0.4× 167 0.8× 98 2.0k
Wei Pei China 28 1.5k 1.5× 272 1.1× 203 0.9× 377 1.8× 141 0.7× 108 3.0k
Liping Han China 25 718 0.7× 184 0.8× 160 0.7× 167 0.8× 112 0.5× 75 1.7k
Yutaka Nishigaki Japan 28 1.9k 1.9× 250 1.0× 313 1.4× 253 1.2× 163 0.8× 67 3.4k
Xiaolin Niu China 25 796 0.8× 192 0.8× 523 2.4× 159 0.8× 149 0.7× 88 1.9k
Tao Zheng China 27 803 0.8× 209 0.9× 138 0.6× 199 1.0× 109 0.5× 149 2.1k

Countries citing papers authored by Hiromi Sato

Since Specialization
Citations

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

Fields of papers citing papers by Hiromi Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromi Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Hiromi Sato. A scholar is included among the top collaborators of Hiromi 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 Hiromi Sato. Hiromi 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.
Yoshioka, Hideki, et al.. (2025). Development of a Novel Machine Learning Method for Estimation of Life‐Long Chronic Disease Progression and Its Application to Type 2 Diabetes. Clinical and Translational Science. 18(10). e70351–e70351.
2.
Hatakeyama, Hiroto, et al.. (2025). Buffer compositions strongly impact the in vitro assessment of CYP fraction metabolized using human liver microsomes or expressed isoenzymes. Drug Metabolism and Pharmacokinetics. 62. 101480–101480.
3.
Sato, Hiromi, et al.. (2024). Model-based meta-analysis of HbA1c reduction across SGLT2 inhibitors using dose adjusted by urinary glucose excretion. Scientific Reports. 14(1). 24695–24695. 1 indexed citations
4.
Bhateria, Manisha, et al.. (2024). Predicting the in vivo developmental toxicity of fenarimol from in vitro toxicity data using PBTK modelling-facilitated reverse dosimetry approach. Toxicology and Applied Pharmacology. 484. 116879–116879. 3 indexed citations
5.
Sato, Hiromi, Kazuya Maeda, Hiroyuki Kusuhara, et al.. (2023). Model‐based meta‐analysis of ethnic differences and their variabilities in clearance of oral drugs classified by clearance mechanism. CPT Pharmacometrics & Systems Pharmacology. 12(8). 1132–1142. 3 indexed citations
6.
Sato, Hiromi, Shintaro Narita, Mizuki Kobayashi, et al.. (2023). MP20-17 LARD DIET PROMOTES PROSTATE CANCER PROGRESSION THROUGH MODULATING GUT MICROBIOTA AND INTRATUMORAL LIPID METABOLISM. The Journal of Urology. 209(Supplement 4).
7.
8.
Singh, Sheelendra Pratap, et al.. (2021). Plausible drug interaction between cyclophosphamide and voriconazole via inhibition of CYP2B6. Drug Metabolism and Pharmacokinetics. 39. 100396–100396. 11 indexed citations
9.
Hatakeyama, Hiroto, et al.. (2021). Effects on Metabolism in Astrocytes Caused by cGAMP, Which Imitates the Initial Stage of Brain Metastasis. International Journal of Molecular Sciences. 22(16). 9028–9028. 3 indexed citations
10.
Nonaka, Miki, Kanako Miyano, Hiromi Sato, et al.. (2019). A novel strategy for treatment of cancer cachexia targeting xanthine oxidase in the brain. Journal of Pharmacological Sciences. 140(1). 109–112. 8 indexed citations
11.
Sato, Hiromi, et al.. (2015). Attractive target for cancer, gap junction and its components, connexin. Folia Pharmacologica Japonica. 145(2). 74–79. 1 indexed citations
12.
Sato, Hiromi, et al.. (2014). Sex hormones influence expression and function of peroxisome proliferator-activated receptor γ in adipocytes: pathophysiological aspects. Hormone Molecular Biology and Clinical Investigation. 20(2). 51–61. 8 indexed citations
13.
Sato, Hiromi, Yuki Nomura, Tomoya Uehara, et al.. (2014). Elacridar enhances the cytotoxic effects of sunitinib and prevents multidrug resistance in renal carcinoma cells. European Journal of Pharmacology. 746. 258–266. 35 indexed citations
14.
Hagiwara, Hiromi, Hiromi Sato, Yasuhisa Ohde, et al.. (2008). 5‐Aza‐2′‐deoxycytidine suppresses human renal carcinoma cell growth in a xenograft model via up‐regulation of the connexin 32 gene. British Journal of Pharmacology. 153(7). 1373–1381. 19 indexed citations
15.
Sato, Hiromi, Yoji Nagashima, Nantiga Virgona, et al.. (2006). Inhibition of Src activity enhances the tumor-suppressive effect of the connexin 32 gene in Caki-1 renal cancer cells. Oncology Reports. 15(5). 1359–65. 12 indexed citations
16.
Hagiwara, Hiromi, Hiromi Sato, S Kobayashi, et al.. (2005). Connexin 32 down-regulates the fibrinolytic factors in metastatic renal cell carcinoma cells. Life Sciences. 78(19). 2249–2254. 17 indexed citations
17.
Yano, Tomohiro, Hiromi Sato, Kiyokazu Hagiwara, et al.. (2005). Cytotoxic Effect of the Her-2/Her-1 Inhibitor PKI-166 on Renal Cancer Cells Expressing the Connexin 32 Gene. Journal of Pharmacological Sciences. 97(2). 294–298. 6 indexed citations
18.
Nakaso, Kazuhiro, Chiharu Nakamura, Hiromi Sato, et al.. (2005). Novel cytoprotective mechanism of anti-parkinsonian drug deprenyl: PI3K and Nrf2-derived induction of antioxidative proteins. Biochemical and Biophysical Research Communications. 339(3). 915–922. 82 indexed citations
19.
Kawamura, Naoki, et al.. (2004). Diagnostic results and its problems of telecytology utilizing internet. The Journal of the Japanese Society of Clinical Cytology. 43(3). 205–213. 1 indexed citations
20.
Sato, Hiromi, et al.. (1989). Comparison of the effect of lipoxygenase metabolites of arachidonic acid and eicosapentaenoic acid on human natural killer cell cytotoxicity. Prostaglandins Leukotrienes and Essential Fatty Acids. 38(2). 87–90. 9 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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