Yoshihiro Yamanishi

What is he best known for?

The fields of study Yoshihiro Yamanishi is best known for:

• Gene
• Bioinformatics
• Genome

Yoshihiro Yamanishi is researching Drug as part of the investigation of DrugBank, Drug development and Drug repositioning. He undertakes multidisciplinary investigations into Drug development and Drug in his work. Computational biology is closely attributed to Biological network in his study. His Biological network study frequently draws connections between adjacent fields such as Computational biology. He connects Gene with In silico in his research. Yoshihiro Yamanishi connects In silico with Drug discovery in his research. He merges Drug discovery with Chemical space in his study. In his works, Yoshihiro Yamanishi undertakes multidisciplinary study on Chemical space and Cheminformatics. Yoshihiro Yamanishi incorporates Cheminformatics and DrugBank in his studies.

His most cited work include:

• KEGG for linking genomes to life and the environment (4600 citations)
• Prediction of drug-target interaction networks from the integration of chemical and genomic spaces (825 citations)
• Supervised prediction of drug–target interactions using bipartite local models (495 citations)

What are the main themes of his work throughout his whole career to date

In his works, Yoshihiro Yamanishi conducts interdisciplinary research on Computational biology and Biochemistry. Yoshihiro Yamanishi performs multidisciplinary studies into Biochemistry and Computational biology in his work. His study connects Interaction network and Gene. Yoshihiro Yamanishi conducts interdisciplinary study in the fields of Bioinformatics and Cheminformatics through his research. Yoshihiro Yamanishi brings together Cheminformatics and Bioinformatics to produce work in his papers. His study deals with a combination of Artificial intelligence and Inference. He brings together Inference and Artificial intelligence to produce work in his papers. He regularly links together related areas like Protein–protein interaction in his Genetics studies. His research combines Genetics and Protein–protein interaction.

Yoshihiro Yamanishi most often published in these fields:

• Computational biology (75.00%)
• Gene (62.50%)
• Bioinformatics (50.00%)

What were the highlights of his more recent work (between 2019-2022)?

• Gene (57.14%)
• Biochemistry (57.14%)
• Computational biology (42.86%)

In recent works Yoshihiro Yamanishi was focusing on the following fields of study:

In his papers, Yoshihiro Yamanishi integrates diverse fields, such as Gene and KRAS. He performs integrative Biochemistry and Computational biology research in his work. In his works, Yoshihiro Yamanishi undertakes multidisciplinary study on Computational biology and Genetics. Genetics and KRAS are frequently intertwined in his study. In his papers, he integrates diverse fields, such as Bioinformatics and Cheminformatics. His Graph study frequently intersects with other fields, such as Theoretical computer science. His study in Power graph analysis extends to Theoretical computer science with its themes. His Power graph analysis study often links to related topics such as Graph. In his research, Yoshihiro Yamanishi performs multidisciplinary study on Artificial intelligence and Convolutional neural network.

Between 2019 and 2022, his most popular works were:

• Dual graph convolutional neural network for predicting chemical networks (22 citations)
• Lean-Docking: Exploiting Ligands’ Predicted Docking Scores to Accelerate Molecular Docking (18 citations)
• The novel driver gene ASAP2 is a potential druggable target in pancreatic cancer (12 citations)

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