Brian M. Lozinski

774 citations
17 papers · 410 · h-index 11

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 8
    • Neurological Disease Mechanisms and Treatments 2
    • Barrier Structure and Function Studies 2

Brian M. Lozinski

16 papers receiving 405 citations

Peers

Brian M. Lozinski
Comparison fields: 5 of 73
  • Neurology 174
  • Developmental Neuroscience 72
  • Pathology and Forensic Medicine 106
  • Immunology 108
  • Biological Psychiatry 12
Replace Pernille M. Madsen with:
Pernille M. Madsen United States
Caiyong Yu China
Ganlan Bian China
Patrick C. Duncker United States
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Brian M. Lozinski relative to Pernille M. Madsen United States Pernille M. Madsen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian M. Lozinski

Since Specialization
Citations

This map shows the geographic impact of Brian M. Lozinski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian M. Lozinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian M. Lozinski more than expected).

Fields of papers citing papers by Brian M. Lozinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Lozinski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian M. Lozinski. The network helps show where Brian M. Lozinski may publish in the future.

Co-authors

The 25 scholars most cited alongside Brian M. Lozinski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian M. Lozinski Line = papers co-authored together Brian M. Lozinski links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2021118
2 202040
3 201939
4 202137
5 202234
6 202323
7 202023
8 202322
9 202219
10 202118
11 202217
12 20239
13 20245
14 20214
15 20241
16 20211
17 20250

About Brian M. Lozinski

Brian M. Lozinski is a scholar working on Neurology, Molecular Biology, Developmental Neuroscience, Pathology and Forensic Medicine and Immunology, having authored 17 papers that have together received 410 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Multiple Sclerosis Research Studies (5 papers), Inflammation biomarkers and pathways (2 papers), Galectins and Cancer Biology (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Neurology (174 citations), Developmental Neuroscience (72 citations), Pathology and Forensic Medicine (106 citations), Immunology (108 citations) and Biological Psychiatry (12 citations). Brian M. Lozinski has collaborated with scholars based in Canada, China and United States. Frequent co-authors include V. Wee Yong, Deepak Kaushik, Yifei Dong, Samira Ghorbani, Anindita Bhattacharya, Charlotte D’Mello, Alexandre Prat, Stéphanie Zandee, Shawn N. Whitehead and Tina Vo. Their work appears in journals such as Scientific Reports, Journal of Neuroscience, Nature Communications, Nature Aging and Journal of Neuroinflammation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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