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Researcher · Polish Academy of Sciences · Poland

Karol Molga

Karol Molga publishes mostly in Computational Theory and Mathematics, Molecular Biology and Organic Chemistry, on topics such as Computational Drug Discovery Methods, Machine Learning in Materials Science and Chemical Synthesis and Analysis.

ORCID 0000-0003-4808-7910 OpenAlex
World rank
#562,474
of 7,710,434 ranked researchers
Rank in Poland
#3,484
of 100,960
Works
37
Citations
2.2k
Citations per work
59.1
h-index
18
i10-index 22Top 17% in Computational Theory and Mathematics
Karol Molga

What does Karol Molga research?

Karol Molga's work is mostly in Computer Science (20%), Biochemistry, Genetics and Molecular Biology (16%), Chemistry (12%).

Physical Sciences: 20 works · 53.1% of their workComputer Science: 7 works · 19.8% of their workComputational Theory and Mathematics: 7 works · 19.8% of their workChemistry: 5 works · 12.5% of their workOrganic Chemistry: 5 works · 12.5% of their workMaterials Science: 5 works · 12.5% of their workMaterials Chemistry: 5 works · 12.5% of their workEngineering: 3 works · 8.3% of their workBiomedical Engineering: 3 works · 8.3% of their workEverything else: 10 works · 27.1% of their workLife Sciences: 6 works · 15.6% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 15.6% of their workMolecular Biology: 6 works · 15.6% of their workHealth Sciences: 2 works · 4.2% of their workMedicine: 2 works · 4.2% of their workPharmacology: 2 works · 4.2% of their workTHEIR WORKKarol Molga37works
Life Sciences16%Physical Sciences53%Health Sciences4%

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 Science719.8%
    2. Chemistry512.5%
    3. Materials Science512.5%
    4. Engineering38.3%
  2. Everything else1027.1%
    1. Biochemistry, Genetics and Molecular Biology615.6%
    1. Medicine24.2%
  1. 1Computational Theory and Mathematics20% of their works
  2. 2Molecular Biology16% of their works
  3. 3Organic Chemistry12% of their works
  4. 4Materials Chemistry12% of their works
  5. 5Biomedical Engineering8% of their works
  6. 6Pharmacology4% of their works

Research topics

Which keywords describe Karol Molga's research?

The keywords of their largest research topics: Machine Learning, Molecular Docking, Virtual Screening, Drug Discovery, High-Throughput, Materials Informatics, Foldamers and Peptide Synthesis.

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.

All 18 words, with their numbers
  1. Machine Learning302 topics
  2. Molecular Docking191 topic
  3. Virtual Screening191 topic
  4. Drug Discovery132 topics
  5. High-Throughput111 topic
  6. Materials Informatics111 topic
  7. Foldamers91 topic
  8. Peptide Synthesis91 topic
  9. Droplet Formation41 topic
  10. Microfluidics41 topic
  11. Natural Products41 topic
  12. Secondary Metabolites41 topic
  13. Optimization31 topic
  14. Process Intensification31 topic
  15. Catalysis21 topic
  16. Dehydrogenation21 topic
  17. Green Analytical Chemistry21 topic
  18. Pharmaceutical Analysis21 topic

Where does Karol Molga work?

Karol Molga's main affiliation in the publication record is Polish Academy of Sciences, Poland.

How many publications and citations does Karol Molga have?

OpenAlex counts 37 works and 2,187 citations for Karol Molga, an h-index of 18, ranking #562,474 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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