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Journal of Clinical & Experimental Neuroimmunology
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Articles published in Journal of Clinical & Experimental Neuroimmunology have been cited by esteemed scholars and scientists all around the world. Journal of Clinical & Experimental Neuroimmunology has got h-index 3, which means every article in Journal of Clinical & Experimental Neuroimmunology has got 3 average citations.

Following are the list of articles that have cited the articles published in Journal of Clinical & Experimental Neuroimmunology.

  2023 2022 2021 2020 2019 2018 2017 2016

Total published articles

41 30 31 15 4 1 5 10

Conference proceedings

0 0 0 0 0 0 0 0

Citations received as per Google Scholar, other indexing platforms and portals

1 4 6 1 4 4 6 3
Journal total citations count 35
Journal impact factor 0.16
Journal 5 years impact factor 0.23
Journal cite score 0.18
Journal h-index 3
Journal h-index since 2019 2
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 A Review on Genetic Disorders and Syndromes

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A modern review of diabetes mellitus: an annihilatory metabolic disorder

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PACAP for Retinal Health: Model for Cellular Aging and Rescue

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Association of Posttraumatic Stress Disorder With rs2267735 in the ADCYAP1R1 Gene: A Meta?Analysis

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Oxytocin Signaling Pathway: From Cell Biology to Clinical Implications

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Wild geladas (Theropithecus gelada) in crops—more than in pasture areas—reduce aggression and affiliation

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Oxytocin modulation of maternal behavior and Its association With immunological activity in rats With cesarean delivery

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Oxytocin inhibition of metastatic colorectal cancer by suppressing the expression of fibroblast activation protein-?

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Cardiovascular protective properties of oxytocin against COVID-19

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Therapeutic potential of oxytocin in atherosclerotic cardiovascular disease: mechanisms and signaling pathways

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Machine Learning: a Toolkit for Speeding Up Archaeological Stratigraphic Identification

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Machine learning using AMKSOM for Identifying Tumor around Edema region

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An improved unsupervised mapping technique using AMSOM for neurodegenerative disease detection

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Discrimination of soil texture and contour recognitions during archaeological excavation using Machine Learning

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