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Researcher · Repligen (United States) · United States

Aleksandr Sarachakov

Aleksandr Sarachakov publishes mostly in Molecular Biology, Artificial Intelligence and Cancer Research, on topics such as Cancer Genomics and Diagnostics, Cancer-related molecular mechanisms research and Genomics and Rare Diseases.

ORCID 0009-0001-0838-9626 OpenAlex
World rank
#4,352,566
of 7,710,434 ranked researchers
Rank in United States
#1,166,739
of 1,627,098
Works
15
Citations
63
Citations per work
4.2
h-index
3
i10-index 2Top 99% in Molecular Biology
Aleksandr Sarachakov

What does Aleksandr Sarachakov research?

Aleksandr Sarachakov's work is mostly in Biochemistry, Genetics and Molecular Biology (27%), Computer Science (20%), Medicine (9%).

Everything else: 5 works · 36.3% of their workLife Sciences: 4 works · 27.3% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 27.3% of their workMolecular Biology: 2 works · 15.9% of their workCancer Research: 2 works · 11.4% of their workPhysical Sciences: 4 works · 27.3% of their workComputer Science: 3 works · 20.5% of their workArtificial Intelligence: 2 works · 11.4% of their workComputer Vision and Pattern Recognition: 1 works · 9.1% of their workEngineering: 1 works · 6.8% of their workBiomedical Engineering: 1 works · 6.8% of their workHealth Sciences: 1 works · 9.1% of their workMedicine: 1 works · 9.1% of their workPulmonary and Respiratory Medicine: 1 works · 9.1% of their workTHEIR WORKAleksandrSarachakov15works
Life Sciences27%Physical Sciences27%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. Everything else536.3%
    1. Biochemistry, Genetics and Molecular Biology427.3%
    1. Computer Science320.5%
    2. Engineering16.8%
    1. Medicine19.1%
  1. 1Molecular Biology16% of their works
  2. 2Artificial Intelligence11% of their works
  3. 3Cancer Research11% of their works
  4. 4Pulmonary and Respiratory Medicine9% of their works
  5. 5Computer Vision and Pattern Recognition9% of their works
  6. 6Biomedical Engineering7% of their works

Research topics

Which keywords describe Aleksandr Sarachakov's research?

The keywords of their largest research topics: Cancer Genomics, Mutational Signatures, Bone Marrow Biopsy, Cancer, Deep Learning, FDG PET/CT, Gene Set Enrichment Analysis and Genetic Variants.

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 16 words, with their numbers
  1. Cancer Genomics31 topic
  2. Mutational Signatures31 topic
  3. Bone Marrow Biopsy21 topic
  4. Cancer21 topic
  5. Deep Learning21 topic
  6. FDG PET/CT21 topic
  7. Gene Set Enrichment Analysis21 topic
  8. Genetic Variants21 topic
  9. Healthcare21 topic
  10. Interpretable Models21 topic
  11. Long Noncoding RNAs21 topic
  12. Machine Learning Interpretability21 topic
  13. Protein-Protein Interaction Networks21 topic
  14. Sequence Interpretation21 topic
  15. Single-Cell21 topic
  16. Transcriptomics21 topic

Where does Aleksandr Sarachakov work?

Aleksandr Sarachakov's main affiliation in the publication record is Repligen (United States), United States.

How many publications and citations does Aleksandr Sarachakov have?

OpenAlex counts 15 works and 63 citations for Aleksandr Sarachakov, an h-index of 3, ranking #4,352,566 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.

Discussion

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