Science Explorer Back to mapMap
Discussion
Researcher · Medical University of Vienna · Austria

Gábor Géza Kovács

Gábor Géza Kovács publishes mostly in Neurology, Molecular Biology and Physiology, on topics such as Alzheimer's disease research and treatments, Parkinson's Disease Mechanisms and Treatments and Prion Diseases and Protein Misfolding.

ORCID 0000-0003-3841-5511 OpenAlex
World rank
#97,624
of 7,710,434 ranked researchers
Rank in Austria
#880
of 43,330
Works
623
Citations
32k
Citations per work
52.0
h-index
92
i10-index 354Top 0.4% in Neurology (Medicine)
Gábor Géza Kovács

What does Gábor Géza Kovács research?

Gábor Géza Kovács's work is mostly in Medicine (39%), Neuroscience (17%), Biochemistry, Genetics and Molecular Biology (14%).

Health Sciences: 241 works · 38.7% of their workMedicine: 241 works · 38.7% of their workNeurology: 135 works · 21.6% of their workPhysiology: 80 works · 12.8% of their workPsychiatry and Mental health: 27 works · 4.3% of their workLife Sciences: 191 works · 30.7% of their workNeuroscience: 103 works · 16.5% of their workNeurology: 62 works · 10.0% of their workCellular and Molecular Neuroscience: 40 works · 6.5% of their workBiochemistry, Genetics and Molecular Biology: 88 works · 14.2% of their workMolecular Biology: 88 works · 14.2% of their workEverything else: 191 works · 30.6% of their workTHEIR WORKGábor Géza Kovács623works
Life Sciences31%Health Sciences39%

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. Medicine24138.7%
    1. Neuroscience10316.5%
    2. Biochemistry, Genetics and Molecular Biology8814.2%
  3. Everything else19130.6%
  1. 1Neurology22% of their works
  2. 2Molecular Biology14% of their works
  3. 3Physiology13% of their works
  4. 4Neurology10% of their works
  5. 5Cellular and Molecular Neuroscience6% of their works
  6. 6Psychiatry and Mental health4% of their works

Research topics

Which keywords describe Gábor Géza Kovács's research?

The keywords of their largest research topics: Neurodegeneration, Oxidative Stress, Mitochondrial Dysfunction, Parkinson's Disease, Amyloid Hypothesis, Tau Pathology, a-Synuclein and Dopaminergic Neurons.

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 22 words, with their numbers
  1. Neurodegeneration5284 topics
  2. Oxidative Stress3502 topics
  3. Mitochondrial Dysfunction3203 topics
  4. Parkinson's Disease2142 topics
  5. Amyloid Hypothesis1861 topic
  6. Tau Pathology1861 topic
  7. Dopaminergic Neurons1641 topic
  8. Neuroimaging1642 topics
  9. a-Synuclein1641 topic
  10. Protein Aggregation1572 topics
  11. Molecular Basis1161 topic
  12. Prion Diseases1161 topic
  13. Brain Iron Accumulation1151 topic
  14. Pantothenate Kinase1151 topic
  15. FUS/TLS631 topic
  16. TDP-43631 topic
  17. Deep Brain Stimulation501 topic
  18. Subthalamic Nucleus501 topic
  19. Alzheimer's Disease491 topic
  20. Mild Cognitive Impairment491 topic
  21. Huntington's Disease411 topic
  22. Polyglutamine411 topic

Where does Gábor Géza Kovács work?

Gábor Géza Kovács's main affiliation in the publication record is Medical University of Vienna, Austria.

How many publications and citations does Gábor Géza Kovács have?

OpenAlex counts 623 works and 32,395 citations for Gábor Géza Kovács, an h-index of 92, ranking #97,624 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

Ask a question or share a note about Gábor Géza Kovács. Posts are plain text and can be reported.