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Researcher · Psychogenics (United States) · United States

Liliana Menalled

Liliana Menalled publishes mostly in Cellular and Molecular Neuroscience, Molecular Biology and Neurology, on topics such as Genetic Neurodegenerative Diseases, Mitochondrial Function and Pathology and Neurological disorders and treatments.

OpenAlex
World rank
#994,400
of 7,710,434 ranked researchers
Rank in United States
#324,901
of 1,627,098
Works
39
Citations
3.4k
Citations per work
87.7
h-index
24
i10-index 25Top 26% in Cellular and Molecular Neuroscience
Liliana Menalled

What does Liliana Menalled research?

Liliana Menalled's work is mostly in Neuroscience (36%), Biochemistry, Genetics and Molecular Biology (32%), Medicine (20%).

Life Sciences: 27 works · 68.0% of their workNeuroscience: 14 works · 36.0% of their workCellular and Molecular Neuroscience: 14 works · 36.0% of their workBiochemistry, Genetics and Molecular Biology: 12 works · 32.0% of their workMolecular Biology: 12 works · 30.0% of their workCell Biology: 1 works · 2.0% of their workHealth Sciences: 9 works · 22.0% of their workMedicine: 8 works · 20.0% of their workNeurology: 8 works · 20.0% of their workVeterinary: 1 works · 2.0% of their workSmall Animals: 1 works · 2.0% of their workEverything else: 4 works · 9.0% of their workPhysical Sciences: 0 works · 1.0% of their workEngineering: 0 works · 1.0% of their workBiomedical Engineering: 0 works · 1.0% of their workTHEIR WORKLiliana Menalled39works
Life Sciences68%Physical Sciences1%Health Sciences22%

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. Neuroscience1436.0%
    2. Biochemistry, Genetics and Molecular Biology1232.0%
    1. Medicine820.0%
    2. Veterinary12.0%
  3. Everything else49.0%
    1. Engineering01.0%
  1. 1Cellular and Molecular Neuroscience36% of their works
  2. 2Molecular Biology30% of their works
  3. 3Neurology20% of their works
  4. 4Small Animals2% of their works
  5. 5Cell Biology2% of their works
  6. 6Biomedical Engineering1% of their works

Research topics

Which keywords describe Liliana Menalled's research?

The keywords of their largest research topics: Mitochondrial Dysfunction, Huntington's Disease, Protein Aggregation, Oxidative Stress, Parkinson's Disease, Mitochondria, Neurological Disorders and Cell Death.

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 21 words, with their numbers
  1. Mitochondrial Dysfunction473 topics
  2. Huntington's Disease261 topic
  3. Protein Aggregation261 topic
  4. Oxidative Stress212 topics
  5. Parkinson's Disease192 topics
  6. Mitochondria152 topics
  7. Neurological Disorders152 topics
  8. Cell Death131 topic
  9. Reactive Oxygen Species131 topic
  10. Deep Brain Stimulation111 topic
  11. Subthalamic Nucleus111 topic
  12. Muscle Regeneration91 topic
  13. Skeletal Muscle Atrophy91 topic
  14. Neurodegeneration81 topic
  15. a-Synuclein81 topic
  16. Neurotransmission41 topic
  17. Synaptic Plasticity41 topic
  18. Biotin21 topic
  19. Proteasome21 topic
  20. Proximity Labeling21 topic
  21. Ubiquitin21 topic

Where does Liliana Menalled work?

Liliana Menalled's main affiliation in the publication record is Psychogenics (United States), United States.

How many publications and citations does Liliana Menalled have?

OpenAlex counts 39 works and 3,422 citations for Liliana Menalled, an h-index of 24, ranking #994,400 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.

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