Weida Tong
Weida Tong publishes mostly in Molecular Biology, Computational Theory and Mathematics and Pharmacology, on topics such as Computational Drug Discovery Methods, Gene expression and cancer classification and Bioinformatics and Genomic Networks.
- World rank
- #50,743 of 7,710,434 ranked researchers
- Rank in United States
- #19,598 of 1,627,098
- Works
- 540
- Citations
- 31k
- Citations per work
- 57.4
What does Weida Tong research?
Weida Tong's work is mostly in Biochemistry, Genetics and Molecular Biology (48%), Computer Science (10%), Pharmacology, Toxicology and Pharmaceutics (8%).
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 Sciences30255.9%
- Everything else17131.6%
- Physical Sciences6812.5%
- Computer Science519.5%
- Environmental Science163.0%
- 1Molecular Biology35% of their works
- 2Computational Theory and Mathematics10% of their works
- 3Pharmacology8% of their works
- 4Genetics7% of their works
- 5Cancer Research6% of their works
- 6Health, Toxicology and Mutagenesis3% of their works
Research topics
- Computational Drug Discovery Methods
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Biomedical Text Mining and Ontologies
- Estrogen and related hormone effects
Which keywords describe Weida Tong's research?
The keywords of their largest research topics: Machine Learning, Pharmacokinetics, Data Analysis, Gene Expression, Molecular Docking, Virtual Screening, Differential Expression and Microarray.
- Receptor
- Text Mining
- Hepatotoxicity
- Pharmacogenetics
- Real-Time PCR
- Protein-Protein Interaction Networks
- Microarray
- Virtual Screening
- Gene Expression
- Pharmacokinetics
- Machine Learning
- Data Analysis
- Molecular Docking
- Differential Expression
- Gene Set Enrichment Analysis
- Quantitative
- Cytochrome P450
- Drug-Induced Liver Injury
- Biomedical Ontologies
- Estrogen
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 20 words, with their numbers
- Machine Learning2412 topics
- Pharmacokinetics1842 topics
- Data Analysis1732 topics
- Gene Expression1732 topics
- Molecular Docking1321 topic
- Virtual Screening1321 topic
- Differential Expression1091 topic
- Microarray1091 topic
- Gene Set Enrichment Analysis711 topic
- Protein-Protein Interaction Networks711 topic
- Quantitative641 topic
- Real-Time PCR641 topic
- Cytochrome P450521 topic
- Pharmacogenetics521 topic
- Drug-Induced Liver Injury481 topic
- Hepatotoxicity481 topic
- Biomedical Ontologies371 topic
- Text Mining371 topic
- Estrogen331 topic
- Receptor331 topic
Where does Weida Tong work?
Weida Tong's main affiliation in the publication record is National Center for Toxicological Research, United States.
How many publications and citations does Weida Tong have?
OpenAlex counts 540 works and 31,011 citations for Weida Tong, an h-index of 83, ranking #50,743 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.
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