Kotoko Nakata
Kotoko Nakata publishes mostly in Molecular Biology, Computational Theory and Mathematics and Genetics, on topics such as Computational Drug Discovery Methods, Bioinformatics and Genomic Networks and Estrogen and related hormone effects.
- World rank
- #4,489,802 of 7,710,434 ranked researchers
- Rank in Japan
- #130,173 of 383,136
- Works
- 50
- Citations
- 838
- Citations per work
- 16.8
What does Kotoko Nakata research?
Kotoko Nakata's work is mostly in Biochemistry, Genetics and Molecular Biology (49%), Computer Science (9%), Medicine (9%).
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 Sciences2549.1%
- Everything else1427.2%
- Physical Sciences714.6%
- Computer Science59.1%
- Environmental Science35.5%
- Health Sciences59.1%
- Medicine59.1%
- 1Molecular Biology41% of their works
- 2Computational Theory and Mathematics9% of their works
- 3Genetics8% of their works
- 4Oncology6% of their works
- 5Health, Toxicology and Mutagenesis6% of their works
- 6Radiology, Nuclear Medicine and Imaging4% of their works
Research topics
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Estrogen and related hormone effects
- Gene expression and cancer classification
- Receptor Mechanisms and Signaling
- RNA and protein synthesis mechanisms
- Effects and risks of endocrine disrupting chemicals
- Monoclonal and Polyclonal Antibodies Research
Which keywords describe Kotoko Nakata's research?
The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Gene Set Enrichment Analysis, Protein-Protein Interaction Networks, Estrogen, Gene Expression and Microarray.
- Therapeutic Antibodies
- Fc Receptors
- Bisphenol A
- Crystal Structure
- Microarray
- Estrogen
- Gene Set Enrichment Analysis
- Molecular Docking
- Machine Learning
- Virtual Screening
- Protein-Protein Interaction Networks
- Gene Expression
- Receptor
- G-Protein-Coupled Receptors
- Endocrine-Disrupting Chemicals
- Ribosome
- Translation
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.
All 17 words, with their numbers
- Machine Learning162 topics
- Molecular Docking101 topic
- Virtual Screening101 topic
- Gene Set Enrichment Analysis71 topic
- Protein-Protein Interaction Networks71 topic
- Estrogen61 topic
- Gene Expression61 topic
- Microarray61 topic
- Receptor61 topic
- Crystal Structure51 topic
- G-Protein-Coupled Receptors51 topic
- Bisphenol A41 topic
- Endocrine-Disrupting Chemicals41 topic
- Fc Receptors41 topic
- Ribosome41 topic
- Therapeutic Antibodies41 topic
- Translation41 topic
Where does Kotoko Nakata work?
Kotoko Nakata's main affiliation in the publication record is National Institute of Health Sciences, Japan.
How many publications and citations does Kotoko Nakata have?
OpenAlex counts 50 works and 838 citations for Kotoko Nakata, an h-index of 13, ranking #4,489,802 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised 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 Kotoko Nakata. Posts are plain text and can be reported.