Weigong Ge Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

National Center for Toxicological Research

faculty

25 h-index 73 pubs 6,628 cited

Research Areas

Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Computational Drug Discovery Methods Natural Language Processing Techniques Genomics and Phylogenetic Studies Health Disparities and Outcomes Nanoparticles: synthesis and applications Meta-analysis and systematic reviews

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OverviewAI-generated summary

Weigong Ge's research focuses on the application of computational methods, including artificial intelligence and machine learning, to address complex problems in toxicology, pharmacology, and health sciences. His work involves developing predictive models for drug interactions, toxicity, and the adsorption properties of nanomaterials. Ge has investigated the prediction of hERG blockade using quantitative structure-activity relationship (QSAR) modeling and developed random forest models for drug repurposing in the context of COVID-19 treatment.

His research also extends to analyzing large-scale health databases, such as the FDA Adverse Event Reporting System (FAERS), to identify patterns and risks associated with specific drugs and patient populations. This includes systematic analyses of opioid-related adverse events and the normalization of drug names for improved data mining. Ge's publications also touch upon the reproducibility of genetic variant detection using whole-genome sequencing and the computational elucidation of molecular binding patterns for biological targets.

Ge has a notable publication record with 73 total publications and has been cited 6,628 times, achieving an h-index of 25. He is recognized as a highly cited researcher. His key collaborators at the National Center for Toxicological Research include Joe Meehan and Bohu Pan, with whom he has co-authored numerous publications.

Metrics

  • h-index: 25
  • Publications: 73
  • Citations: 6,628

Selected Publications

  • Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques (2025) DOI
  • AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women (2025) DOI
  • Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study (2024) DOI
  • A systematic analysis and data mining of opioid-related adverse events submitted to the FAERS database (2023) DOI
  • Developing a SARS-CoV-2 main protease binding prediction random forest model for drug repurposing for COVID-19 treatment (2023) DOI
  • Mold2 Descriptors Facilitate Development of Machine Learning and Deep Learning Models for Predicting Toxicity of Chemicals (2023) DOI
  • Additional file 3 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022) DOI
  • Additional file 13 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022) DOI
  • Additional file 5 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022) DOI
  • Additional file 15 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022) DOI
  • Additional file 10 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022) DOI
  • Additional file 9 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022) DOI
  • Additional file 11 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022) DOI
  • Additional file 1 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022) DOI
  • Additional file 6 of Assessing reproducibility of inherited variants detected with short-read whole genome sequencing (2022) DOI

Collaborators

Researchers in the database who share publications

Joe Meehan National Center for Toxicological Research 15 shared publications Bohu Pan National Center for Toxicological Research 15 shared publications Wen Zou National Center for Toxicological Research 12 shared publications Tucker A. Patterson National Center for Toxicological Research 5 shared publications Wenjing Guo National Center for Toxicological Research 5 shared publications Beverly Lyn‐Cook National Center for Toxicological Research 5 shared publications Fan Dong National Center for Toxicological Research 3 shared publications Paul Rogers National Center for Toxicological Research 3 shared publications

Similar Researchers

Based on overlapping research topics

Fan Dong National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Natural Language Processing Techniques
Good match 5 shared topics
Paul Rogers National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Natural Language Processing Techniques
Good match 5 shared topics
Minjun Chen National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Computational Drug Discovery Methods
Good match 5 shared topics
Tucker A. Patterson National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Computational Drug Discovery Methods
Good match 5 shared topics
Svitlana Shpyleva National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Advanced Neural Network Applications Natural Language Processing Techniques
Good match 4 shared topics
Beverly Lyn‐Cook National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Natural Language Processing Techniques Health Disparities and Outcomes
Good match 5 shared topics