Tomohiro Sato

978 total citations
36 papers, 716 citations indexed

About

Tomohiro Sato is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tomohiro Sato has authored 36 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tomohiro Sato's work include Computational Drug Discovery Methods (15 papers), Heterotopic Ossification and Related Conditions (4 papers) and Epigenetics and DNA Methylation (4 papers). Tomohiro Sato is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Heterotopic Ossification and Related Conditions (4 papers) and Epigenetics and DNA Methylation (4 papers). Tomohiro Sato collaborates with scholars based in Japan, United Kingdom and Nigeria. Tomohiro Sato's co-authors include Teruki Honma, Shigeyuki Yokoyama, Hitomi Yuki, Mikako Shirouzu, Akiko Tanaka, Teruo Susumu, Masayoshi Shichiri, Kengo Sato, Takatoshi Koyama and Daisuke Takaya and has published in prestigious journals such as Nature Communications, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Tomohiro Sato

34 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomohiro Sato Japan 15 428 240 76 67 64 36 716
Tímea Polgár Hungary 13 377 0.9× 221 0.9× 36 0.5× 76 1.1× 44 0.7× 20 713
Jiangming Sun Sweden 16 414 1.0× 183 0.8× 95 1.3× 32 0.5× 24 0.4× 51 750
Chaya Duraiswami United States 11 534 1.2× 296 1.2× 75 1.0× 50 0.7× 124 1.9× 14 816
Xichen Lian China 10 507 1.2× 269 1.1× 47 0.6× 60 0.9× 32 0.5× 14 864
Man‐Hon Wong Hong Kong 15 566 1.3× 376 1.6× 135 1.8× 62 0.9× 49 0.8× 29 812
Zhenting Gao China 7 360 0.8× 164 0.7× 22 0.3× 47 0.7× 68 1.1× 11 534
Javier L. Baylon United States 15 448 1.0× 119 0.5× 68 0.9× 43 0.6× 24 0.4× 21 776
Yogendra Patel United States 15 652 1.5× 170 0.7× 40 0.5× 64 1.0× 32 0.5× 17 1.1k
Sulin Zhang China 16 465 1.1× 176 0.7× 67 0.9× 35 0.5× 33 0.5× 46 725
Manoj K. Ramjee United Kingdom 15 412 1.0× 84 0.3× 122 1.6× 23 0.3× 139 2.2× 23 931

Countries citing papers authored by Tomohiro Sato

Since Specialization
Citations

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

Fields of papers citing papers by Tomohiro Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiro Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Tomohiro Sato. A scholar is included among the top collaborators of Tomohiro 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 Tomohiro Sato. Tomohiro 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.
Ishida, Shoichi, Tomohiro Sato, Teruki Honma, & Kei Terayama. (2025). Large language models open new way of AI-assisted molecule design for chemists. Journal of Cheminformatics. 17(1). 36–36. 5 indexed citations
2.
Ishida, Shoichi, et al.. (2025). A data-driven generative strategy to avoid reward hacking in multi-objective molecular design. Nature Communications. 16(1). 2409–2409. 4 indexed citations
3.
Sumiya, Tatsunobu, Tomohiro Sato, Hideaki Niwa, et al.. (2024). Structure-based development of novel substrate-type G9a inhibitors as epigenetic modulators for sickle cell disease treatment. Bioorganic & Medicinal Chemistry Letters. 110. 129856–129856.
4.
Ishida, Shoichi, et al.. (2022). Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search. Journal of Chemical Information and Modeling. 62(22). 5351–5360. 12 indexed citations
5.
Kuroda, Masataka, Reiko Watanabe, Tsuyoshi Esaki, et al.. (2022). Utilizing public and private sector data to build better machine learning models for the prediction of pharmacokinetic parameters. Drug Discovery Today. 27(11). 103339–103339. 6 indexed citations
6.
Takaya, Daisuke, Chiduru Watanabe, Yoshio Okiyama, et al.. (2021). FMODB: The World’s First Database of Quantum Mechanical Calculations for Biomacromolecules Based on the Fragment Molecular Orbital Method. Journal of Chemical Information and Modeling. 61(2). 777–794. 39 indexed citations
7.
8.
Murayama, Kazutaka, M. Kato-Murayama, Tomohiro Sato, et al.. (2021). Anthocyanin 5,3′-aromatic acyltransferase from Gentiana triflora, a structural insight into biosynthesis of a blue anthocyanin. Phytochemistry. 186. 112727–112727. 11 indexed citations
9.
10.
Sekimata, Katsuhiko, Tomohiro Sato, Naoki Sakai, et al.. (2019). Bis-Heteroaryl Pyrazoles: Identification of Orally Bioavailable Inhibitors of Activin Receptor-Like Kinase-2 (R206H). Chemical and Pharmaceutical Bulletin. 67(3). 224–235. 12 indexed citations
11.
Sato, Tomohiro, et al.. (2018). Construction of an integrated database for hERG blocking small molecules. PLoS ONE. 13(7). e0199348–e0199348. 43 indexed citations
12.
Takai, Hiroki, Tomohiro Sato, Yuriko Sakaguchi, et al.. (2014). 5-Hydroxymethylcytosine Plays a Critical Role in Glioblastomagenesis by Recruiting the CHTOP-Methylosome Complex. Cell Reports. 9(1). 48–60. 108 indexed citations
13.
Sato, Tomohiro, et al.. (2013). A case of severe invasive streptococcal infection and acute empyema in pneumonia caused by group A streptococcus. Journal of the Japanese Society of Intensive Care Medicine. 20(1). 83–87.
14.
Sato, Tomohiro, Hisami Watanabe, Keiko Tsuganezawa, et al.. (2012). Identification of novel drug-resistant EGFR mutant inhibitors by in silico screening using comprehensive assessments of protein structures. Bioorganic & Medicinal Chemistry. 20(12). 3756–3767. 9 indexed citations
15.
Wang, Wenzhao, Tomohiro Sato, Satoshi Ito, et al.. (2009). BM-P18 Inhibition of quorum sensing in gram-negative bacteria using AHL analogues and modified cyclodextrins(Section III Biomedical Engineering). Journal of Bioscience and Bioengineering. 108(1). 1 indexed citations
16.
Kawashima, Toshiyuki, Ying Bao, Yukinori Minoshima, et al.. (2009). A Rac GTPase-Activating Protein, MgcRacGAP, Is a Nuclear Localizing Signal-Containing Nuclear Chaperone in the Activation of STAT Transcription Factors. Molecular and Cellular Biology. 29(7). 1796–1813. 68 indexed citations
17.
Sato, Kengo, Tomohiro Sato, Teruo Susumu, Takatoshi Koyama, & Masayoshi Shichiri. (2009). Presence of immunoreactive salusin-β in human plasma and urine. Regulatory Peptides. 158(1-3). 63–67. 37 indexed citations
18.
Sato, Tomohiro, Yo Matsuo, Teruki Honma, & Shigeyuki Yokoyama. (2008). In SilicoFunctional Profiling of Small Molecules and Its Applications. Journal of Medicinal Chemistry. 51(24). 7705–7716. 14 indexed citations
19.
Sato, Tomohiro, et al.. (1974). Lysosomal Enzyme Release by Vitamin A in L1210 Leukemia Cells 2. JNCI Journal of the National Cancer Institute. 52(4). 1237–1244. 15 indexed citations
20.
Sato, Tomohiro, et al.. (1969). Enzymatic assay for 3,4-dihydroxymandelic acid (DOMA) in human urine, plasma, and tissues.. PubMed. 74(4). 672–81. 15 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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