Rebecca Johnson

851 citations
14 papers · 507 indexed · h-index 11

Rebecca Johnson

14 papers receiving 500 citations

Peers

Rebecca Johnson
Comparison fields: 5 of 101
  • Neurology 101
  • Immunology 101
  • Biological Psychiatry 11
  • Immunology and Allergy 21
  • Cellular and Molecular Neuroscience 59
Replace Dan T. Kho with:
Dan T. Kho New Zealand
Yiqin Dai China
S. Biswas United States
Suzhen Zhang China
Yohei Shibuya United States
Hye Young Shin South Korea
Silvia Tietz Switzerland
Soo Hyun Choi South Korea
Bessie Meechoovet United States
Alexandria Hoffman United States
Rebecca Johnson relative to Dan T. Kho New Zealand Dan T. Kho's profile →
Citations per field
00.5×1.5×
Dan T. Kho · 1×
Citations per year

Countries citing papers authored by Rebecca Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20241
2 202214
3 202221
4 202122
5 202016
6 202010
7 201919
8 201833
9 201847
10 201811
11 201714
12 20176
13 2015153
14 2015140

About Rebecca Johnson

Rebecca Johnson is a scholar working on Neurology, Immunology and Allergy, Cellular and Molecular Neuroscience, Electrochemistry and Biomedical Engineering, having authored 14 papers that have together received 507 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (7 papers), 3D Printing in Biomedical Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neural Engineering (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Cell Adhesion Molecules Research (2 papers), S100 Proteins and Annexins (2 papers) and Advanced Breast Cancer Therapies (1 paper). The work is most often cited by research in Neurology (101 citations), Immunology (101 citations), Biological Psychiatry (11 citations), Immunology and Allergy (21 citations) and Cellular and Molecular Neuroscience (59 citations). Rebecca Johnson has collaborated with scholars based in New Zealand, United States and Switzerland. Frequent co-authors include E. Scott Graham, Dan T. Kho, Simon J. O’Carroll, Catherine E. Angel, Christa MacDonald, Charles P. Unsworth, Leon Smyth, Mike Dragunow, Clinton Turner and Maurice A. Curtis. Their work appears in journals such as Biosensors, Scientific Reports, The International Journal of Biochemistry & Cell Biology, Journal of Neuroinflammation and Communications Biology.

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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