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Researcher · University of Ljubljana · Slovenia

Damijan Knez

Damijan Knez publishes mostly in Pharmacology, Organic Chemistry and Molecular Biology, on topics such as Cholinesterase and Neurodegenerative Diseases, Computational Drug Discovery Methods and Alzheimer's disease research and treatments.

ORCID 0000-0001-9917-1384 OpenAlex
World rank
#1,033,225
of 7,710,434 ranked researchers
Rank in Slovenia
#653
of 9,404
Works
120
Citations
2.4k
Citations per work
20.4
h-index
29
i10-index 54Top 9.9% in Pharmacology (Medicine)
Damijan Knez

What does Damijan Knez research?

Damijan Knez's work is mostly in Medicine (29%), Chemistry (18%), Biochemistry, Genetics and Molecular Biology (16%).

Physical Sciences: 39 works · 32.9% of their workChemistry: 22 works · 18.3% of their workOrganic Chemistry: 22 works · 18.3% of their workComputer Science: 18 works · 14.6% of their workComputational Theory and Mathematics: 18 works · 14.6% of their workHealth Sciences: 35 works · 28.8% of their workMedicine: 35 works · 28.8% of their workPharmacology: 23 works · 19.2% of their workPhysiology: 7 works · 5.9% of their workComplementary and alternative medicine: 4 works · 3.7% of their workEverything else: 27 works · 22.8% of their workLife Sciences: 19 works · 15.5% of their workBiochemistry, Genetics and Molecular Biology: 19 works · 15.5% of their workMolecular Biology: 19 works · 15.5% of their workTHEIR WORKDamijan Knez120works
Life Sciences16%Physical Sciences33%Health Sciences29%

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. Chemistry2218.3%
    2. Computer Science1814.6%
    1. Medicine3528.8%
  3. Everything else2722.8%
    1. Biochemistry, Genetics and Molecular Biology1915.5%
  1. 1Pharmacology19% of their works
  2. 2Organic Chemistry18% of their works
  3. 3Molecular Biology16% of their works
  4. 4Computational Theory and Mathematics15% of their works
  5. 5Physiology6% of their works
  6. 6Complementary and alternative medicine4% of their works

Research topics

Which keywords describe Damijan Knez's research?

The keywords of their largest research topics: Alzheimer's Disease, Acetylcholinesterase, Cholinesterase Inhibitors, Molecular Docking, Virtual Screening, Drug Discovery, Amyloid Hypothesis and Tau Pathology.

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 18 words, with their numbers
  1. Alzheimer's Disease692 topics
  2. Acetylcholinesterase581 topic
  3. Cholinesterase Inhibitors581 topic
  4. Molecular Docking471 topic
  5. Virtual Screening471 topic
  6. Drug Discovery252 topics
  7. Amyloid Hypothesis181 topic
  8. Tau Pathology181 topic
  9. Click Chemistry151 topic
  10. Copper-Catalyzed Cycloaddition151 topic
  11. Alkaloids141 topic
  12. Amaryllidaceae141 topic
  13. Bacopa monnieri111 topic
  14. Centella asiatica111 topic
  15. Fibroblast Activation Protein111 topic
  16. Tumor Microenvironment111 topic
  17. Foldamers101 topic
  18. Peptide Synthesis101 topic

Where does Damijan Knez work?

Damijan Knez's main affiliation in the publication record is University of Ljubljana, Slovenia.

How many publications and citations does Damijan Knez have?

OpenAlex counts 120 works and 2,447 citations for Damijan Knez, an h-index of 29, ranking #1,033,225 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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