Yoshihiro Yamanishi
Yoshihiro Yamanishi publishes mostly in Molecular Biology, Computational Theory and Mathematics and Pharmacology, on topics such as Computational Drug Discovery Methods, Bioinformatics and Genomic Networks and Machine Learning in Bioinformatics.
- World rank
- #721,816 of 7,710,434 ranked researchers
- Rank in Japan
- #8,534 of 383,136
- Works
- 202
- Citations
- 14k
- Citations per work
- 69.9
What does Yoshihiro Yamanishi research?
Yoshihiro Yamanishi's work is mostly in Biochemistry, Genetics and Molecular Biology (46%), Computer Science (19%), Medicine (4%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Life Sciences9346.0%
- Everything else5426.5%
- Physical Sciences4723.5%
- Computer Science3818.6%
- Materials Science52.7%
- Chemistry42.2%
- Health Sciences84.0%
- Medicine84.0%
- 1Molecular Biology46% of their works
- 2Computational Theory and Mathematics15% of their works
- 3Pharmacology4% of their works
- 4Artificial Intelligence4% of their works
- 5Materials Chemistry3% of their works
- 6Organic Chemistry2% of their works
Research topics
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Genetics, Bioinformatics, and Biomedical Research
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Materials Science
- Microbial Natural Products and Biosynthesis
Which keywords describe Yoshihiro Yamanishi's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Prediction, Protein and Bioinformatics.
- Natural Products
- Materials Informatics
- Genome-Scale Models
- Drug Discovery
- Force Field
- Amino Acid Composition
- Bioinformatics
- Prediction
- Gene Set Enrichment Analysis
- Molecular Docking
- Machine Learning
- Virtual Screening
- Protein-Protein Interaction Networks
- Protein
- Molecular Dynamics
- Subcellular Localization
- Structure
- Education
- High-Throughput
- Metabolic Engineering
- Training
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Machine Learning1203 topics
- Molecular Docking801 topic
- Virtual Screening801 topic
- Gene Set Enrichment Analysis651 topic
- Protein-Protein Interaction Networks651 topic
- Prediction422 topics
- Protein422 topics
- Bioinformatics402 topics
- Molecular Dynamics302 topics
- Amino Acid Composition261 topic
- Subcellular Localization261 topic
- Force Field161 topic
- Structure161 topic
- Drug Discovery141 topic
- Education141 topic
- Genome-Scale Models141 topic
- High-Throughput141 topic
- Materials Informatics141 topic
- Metabolic Engineering141 topic
- Natural Products141 topic
- Training141 topic
Where does Yoshihiro Yamanishi work?
Yoshihiro Yamanishi's main affiliation in the publication record is Kyushu Institute of Technology, Japan.
How many publications and citations does Yoshihiro Yamanishi have?
OpenAlex counts 202 works and 14,117 citations for Yoshihiro Yamanishi, an h-index of 40, ranking #721,816 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Yoshihiro Yamanishi. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.