Sam Horng

1.1k citations
12 papers · 410 · h-index 8

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 5
    • Barrier Structure and Function Studies 3
    • Neurological Disease Mechanisms and Treatments 2
    • Multiple Sclerosis Research Studies 3

Sam Horng

11 papers receiving 409 citations

Peers

Sam Horng
Comparison fields: 5 of 75
  • Neurology 231
  • Developmental Neuroscience 34
  • Biological Psychiatry 15
  • Neurology 55
  • Pathology and Forensic Medicine 51
Replace Sylvain Perriot with:
Sylvain Perriot Switzerland
Antoine Fournier France
Lutz Menzel Germany
Melissa G. Harris United States
Benjamin D. Clarkson United States
Nina Fainberg United States
Marco Pacifici United States
Evelyn M. Wesseling Netherlands
Michael C. Molleston United States
Sam Horng relative to Sylvain Perriot Switzerland Sylvain Perriot's profile →
Citations per field
00.5×
Sylvain Perriot · 1×
Citations per year

Countries citing papers authored by Sam Horng

Since Specialization
Citations

This map shows the geographic impact of Sam Horng'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 Sam Horng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Horng more than expected).

Fields of papers citing papers by Sam Horng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Horng. 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 Sam Horng. The network helps show where Sam Horng may publish in the future.

Co-authors

The 25 scholars most cited alongside Sam Horng, 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 Sam Horng Line = papers co-authored together Sam Horng links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2017171
2 2015130
3 202031
4 201824
5 202111
6 202211
7 202110
8 20229
9 20177
10 20245
11 20161
12 20250

About Sam Horng

Sam Horng is a scholar working on Neurology, Pathology and Forensic Medicine, Neurology, Cellular and Molecular Neuroscience and Oncology, having authored 12 papers that have together received 410 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Barrier Structure and Function Studies (3 papers), Multiple Sclerosis Research Studies (3 papers), Cell Adhesion Molecules Research (2 papers), Polyomavirus and related diseases (2 papers), Plant Virus Research Studies (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Neurology (231 citations), Developmental Neuroscience (34 citations), Biological Psychiatry (15 citations), Neurology (55 citations) and Pathology and Forensic Medicine (51 citations). Sam Horng has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Candice Chapouly, John N. Mariani, Gareth John, Azeb Tadesse Argaw, Rebecca Straus Farber, Edward D. Crandall, Yuko Hara, Setsu Sawai, Sarah Moyon and Per Flodby. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, PLoS Biology, Brain Communications and Brain and Behavior.

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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