Science Explorer Back to mapMap
Discussion
Researcher · University of Pittsburgh · United States

Maria I. Perica

Maria I. Perica publishes mostly in Cognitive Neuroscience, Cellular and Molecular Neuroscience and Physiology, on topics such as Neuroscience and Neuropharmacology Research, Functional Brain Connectivity Studies and Neural dynamics and brain function.

ORCID 0009-0005-7767-9247 OpenAlex
World rank
#2,396,074
of 7,710,434 ranked researchers
Rank in United States
#710,840
of 1,627,098
Works
24
Citations
349
Citations per work
14.5
h-index
12
i10-index 12Top 54% in Cognitive Neuroscience
Maria I. Perica

What does Maria I. Perica research?

Maria I. Perica's work is mostly in Neuroscience (61%), Medicine (6%), Biochemistry, Genetics and Molecular Biology (4%).

Life Sciences: 16 works · 65.7% of their workNeuroscience: 15 works · 61.4% of their workCognitive Neuroscience: 9 works · 35.7% of their workCellular and Molecular Neuroscience: 5 works · 21.4% of their workBehavioral Neuroscience: 1 works · 4.3% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 4.3% of their workMolecular Biology: 1 works · 4.3% of their workEverything else: 6 works · 24.3% of their workHealth Sciences: 1 works · 5.7% of their workMedicine: 1 works · 5.7% of their workPhysiology: 1 works · 5.7% of their workSocial Sciences: 1 works · 4.3% of their workPsychology: 1 works · 4.3% of their workSocial Psychology: 1 works · 4.3% of their workTHEIR WORKMaria I. Perica24works
Life Sciences66%Health Sciences6%Social 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. Neuroscience1561.4%
    2. Biochemistry, Genetics and Molecular Biology14.3%
  2. Everything else624.3%
    1. Medicine15.7%
    1. Psychology14.3%
  1. 1Cognitive Neuroscience36% of their works
  2. 2Cellular and Molecular Neuroscience21% of their works
  3. 3Physiology6% of their works
  4. 4Social Psychology4% of their works
  5. 5Molecular Biology4% of their works
  6. 6Behavioral Neuroscience4% of their works

Research topics

Which keywords describe Maria I. Perica's research?

The keywords of their largest research topics: Neurological Disorders, Neurotransmission, Synaptic Plasticity, Functional Connectivity, Resting-State fMRI, Cortical Networks, Neuronal Oscillations and Hippocampus.

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 20 words, with their numbers
  1. Neurological Disorders232 topics
  2. Neurotransmission131 topic
  3. Synaptic Plasticity131 topic
  4. Functional Connectivity101 topic
  5. Resting-State fMRI101 topic
  6. Cortical Networks81 topic
  7. Neuronal Oscillations81 topic
  8. Hippocampus72 topics
  9. Neurobiology72 topics
  10. Depression52 topics
  11. Memory41 topic
  12. Navigation41 topic
  13. Brain31 topic
  14. Gut Microbiota31 topic
  15. Magnetic Resonance Imaging31 topic
  16. Microbial Communities31 topic
  17. Perfusion Imaging31 topic
  18. Stress31 topic
  19. Cytokines21 topic
  20. Neuroinflammation21 topic

Where does Maria I. Perica work?

Maria I. Perica's main affiliation in the publication record is University of Pittsburgh, United States.

How many publications and citations does Maria I. Perica have?

OpenAlex counts 24 works and 349 citations for Maria I. Perica, an h-index of 12, ranking #2,396,074 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 Maria I. Perica. Posts are plain text and can be reported.