Eugene Muratov
researcher
Facts
10 properties- Instance of
- human
- Occupation
- researcher
- Doctoral advisor
- Viktor Kuzmin[3]
- Student of
- Viktor Kuzmin[7]
- Family name
- Muratov[5]
- Imported from
- wholeness_audit_2026-05-02
- On focus list of Wikimedia project
- WikiProject Zika Corpus[8]
🏷️ Also known as
en Yevgeny Muratov
en Yevgeny Nailyevich Muratov
en Yevhen Muratov
en Yevhen Nailevych Muratow
en Eugene Muratov
en Eugene N Muratov
de Jewgeni Muratow
de Jewgeni Nailjewitsch Muratow
de Jewhen Muratow
de Jewhen Nailewytsch Muratow
ru Евгений Наильевич Муратов
uk Євген Муратов
uk Євген Наілевич Муратов
uk Муратов Євген Наілевич
🔖 Identifiers · 7
- ORCID iD
- 0000-0003-4616-7036
- OpenAlex ID
- A5029916489, A5112033644, A5126062506, A5129722284, A5135998119, A5140743627as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 141/0445
- Dimensions author ID
- 01031504665.97
- Publons author ID
- 576206
- ResearcherID
- C-4454-2014
- Springer Nature person ID
- 01031504665.97
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 14
AI-driven discovery of synergistic drug combinations against pancreatic cancer,
A Perspective and a New Integrated Computational Strategy for Skin Sensitization Assessment,
BeeToxAI: An artificial intelligence-based web app to assess acute toxicity of chemicals to honey bees,
Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?,
Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance,
Deep Learning-driven research for drug discovery: Tackling Malaria,
Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods,
Lies and Liabilities: Computational Assessment of High-Throughput Screening Hits to Identify Artifact Compounds
+6 more
← Authored by 14
AI-driven discovery of synergistic drug combinations against pancreatic cancer,
A Perspective and a New Integrated Computational Strategy for Skin Sensitization Assessment,
BeeToxAI: An artificial intelligence-based web app to assess acute toxicity of chemicals to honey bees,
Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?,
Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance,
Deep Learning-driven research for drug discovery: Tackling Malaria,
Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods,
Lies and Liabilities: Computational Assessment of High-Throughput Screening Hits to Identify Artifact Compounds
+6 more
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