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Researcher · Universidade Estadual de Campinas (UNICAMP) · Brazil

Verônica Monteiro Saia-Cereda

Verônica Monteiro Saia-Cereda publishes mostly in Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience, on topics such as Advanced Proteomics Techniques and Applications, Neuroscience and Neuropharmacology Research and Neurogenesis and neuroplasticity mechanisms.

ORCID 0000-0002-6285-1201 OpenAlex
World rank
#1,688,012
of 7,710,434 ranked researchers
Rank in Brazil
#13,805
of 253,246
Works
27
Citations
1.2k
Citations per work
43.3
h-index
13
i10-index 13Top 59% in Molecular Biology
Verônica Monteiro Saia-Cereda

What does Verônica Monteiro Saia-Cereda research?

Verônica Monteiro Saia-Cereda's work is mostly in Biochemistry, Genetics and Molecular Biology (38%), Neuroscience (14%), Chemistry (12%).

Life Sciences: 14 works · 52.1% of their workBiochemistry, Genetics and Molecular Biology: 10 works · 37.6% of their workMolecular Biology: 9 works · 33.3% of their workCell Biology: 1 works · 4.3% of their workNeuroscience: 4 works · 14.5% of their workCellular and Molecular Neuroscience: 2 works · 8.7% of their workDevelopmental Neuroscience: 2 works · 5.8% of their workEverything else: 7 works · 27.6% of their workPhysical Sciences: 3 works · 11.6% of their workChemistry: 3 works · 11.6% of their workSpectroscopy: 3 works · 11.6% of their workHealth Sciences: 2 works · 8.7% of their workMedicine: 2 works · 8.7% of their workNeurology: 2 works · 8.7% of their workTHEIR WORKVerônica MonteiroSaia-Cereda27works
Life Sciences52%Physical Sciences12%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. Biochemistry, Genetics and Molecular Biology1037.6%
    2. Neuroscience414.5%
  2. Everything else727.6%
    1. Chemistry311.6%
    1. Medicine28.7%
  1. 1Molecular Biology33% of their works
  2. 2Spectroscopy12% of their works
  3. 3Cellular and Molecular Neuroscience9% of their works
  4. 4Neurology9% of their works
  5. 5Developmental Neuroscience6% of their works
  6. 6Cell Biology4% of their works

Research topics

Which keywords describe Verônica Monteiro Saia-Cereda's research?

The keywords of their largest research topics: Mass Spectrometry, Proteomics, Quantitative Analysis, Adult Stem Cells, Neurogenesis, Neurologic Manifestations, Neurotransmission and Post-acute COVID-19 Syndrome.

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 17 words, with their numbers
  1. Mass Spectrometry92 topics
  2. Proteomics61 topic
  3. Quantitative Analysis61 topic
  4. Adult Stem Cells41 topic
  5. Neurogenesis41 topic
  6. Neurologic Manifestations41 topic
  7. Neurotransmission41 topic
  8. Post-acute COVID-19 Syndrome41 topic
  9. Synaptic Plasticity41 topic
  10. DNA Methylation31 topic
  11. Data Analysis31 topic
  12. Endocytosis31 topic
  13. Histone Modification31 topic
  14. Induced Pluripotent Stem Cells31 topic
  15. Membrane Fusion31 topic
  16. Metabolomics31 topic
  17. Pluripotent Stem Cells31 topic

Where does Verônica Monteiro Saia-Cereda work?

Verônica Monteiro Saia-Cereda's main affiliation in the publication record is Universidade Estadual de Campinas (UNICAMP), Brazil.

How many publications and citations does Verônica Monteiro Saia-Cereda have?

OpenAlex counts 27 works and 1,169 citations for Verônica Monteiro Saia-Cereda, an h-index of 13, ranking #1,688,012 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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