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Researcher · Moscow Institute of Physics and Technology · Russia

Vladimir Aladinskiy

Vladimir Aladinskiy publishes mostly in Molecular Biology, Computational Theory and Mathematics and Organic Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Synthesis and biological activity.

ORCID 0000-0002-3976-3991 OpenAlex
World rank
#1,042,515
of 7,710,434 ranked researchers
Rank in Russia
#2,484
of 179,717
Works
47
Citations
4k
Citations per work
85.7
h-index
18
i10-index 25Top 39% in Molecular Biology
Vladimir Aladinskiy

What does Vladimir Aladinskiy research?

Vladimir Aladinskiy's work is mostly in Biochemistry, Genetics and Molecular Biology (26%), Computer Science (15%), Chemistry (11%).

Physical Sciences: 17 works · 36.2% of their workComputer Science: 7 works · 15.0% of their workComputational Theory and Mathematics: 7 works · 15.0% of their workChemistry: 5 works · 11.0% of their workOrganic Chemistry: 5 works · 11.0% of their workMaterials Science: 5 works · 10.2% of their workMaterials Chemistry: 5 works · 10.2% of their workEverything else: 13 works · 28.4% of their workLife Sciences: 12 works · 26.0% of their workBiochemistry, Genetics and Molecular Biology: 12 works · 26.0% of their workMolecular Biology: 12 works · 26.0% of their workHealth Sciences: 4 works · 9.4% of their workMedicine: 4 works · 9.4% of their workEpidemiology: 2 works · 4.7% of their workInfectious Diseases: 2 works · 4.7% of their workTHEIR WORKVladimirAladinskiy47works
Life Sciences26%Physical Sciences36%Health Sciences9%

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
    1. Computer Science715.0%
    2. Chemistry511.0%
    3. Materials Science510.2%
  2. Everything else1328.4%
    1. Biochemistry, Genetics and Molecular Biology1226.0%
    1. Medicine49.4%
  1. 1Molecular Biology26% of their works
  2. 2Computational Theory and Mathematics15% of their works
  3. 3Organic Chemistry11% of their works
  4. 4Materials Chemistry10% of their works
  5. 5Epidemiology5% of their works
  6. 6Infectious Diseases5% of their works

Research topics

Which keywords describe Vladimir Aladinskiy's research?

The keywords of their largest research topics: Machine Learning, Medicinal Chemistry, Molecular Docking, Virtual Screening, Molecular Dynamics, High-Throughput, Materials Informatics and Immune Response.

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
  1. Machine Learning322 topics
  2. Medicinal Chemistry242 topics
  3. Molecular Docking191 topic
  4. Virtual Screening191 topic
  5. Molecular Dynamics162 topics
  6. High-Throughput131 topic
  7. Materials Informatics131 topic
  8. Immune Response82 topics
  9. Anticancer Agents51 topic
  10. Heterocyclic Compounds51 topic
  11. BRAF gene41 topic
  12. Bioinformatics41 topic
  13. Education41 topic
  14. Hepatitis C Virus41 topic
  15. MAP Kinase41 topic
  16. Treatment41 topic
  17. Enzyme Regulation31 topic
  18. Nucleotide Metabolism31 topic
  19. Protein31 topic
  20. Structure31 topic

Where does Vladimir Aladinskiy work?

Vladimir Aladinskiy's main affiliation in the publication record is Moscow Institute of Physics and Technology, Russia.

How many publications and citations does Vladimir Aladinskiy have?

OpenAlex counts 47 works and 4,029 citations for Vladimir Aladinskiy, an h-index of 18, ranking #1,042,515 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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