Matthew A. Johnson

488 citations
17 papers · 355 · h-index 10

Impact in

Papers in

    • Neural and Behavioral Psychology Studies 5
    • EEG and Brain-Computer Interfaces 4
    • Neural dynamics and brain function 3
    • Functional Brain Connectivity Studies 3
    • Reconstructive Facial Surgery Techniques 2

Matthew A. Johnson

16 papers receiving 353 citations

Peers

Matthew A. Johnson
Comparison fields: 5 of 71
  • Developmental Neuroscience 22
  • Biological Psychiatry 13
  • Cellular and Molecular Neuroscience 100
  • General Decision Sciences 9
  • Cognitive Neuroscience 75
Replace Chaoshi Niu with:
Chaoshi Niu China
Jia‐Yin Chen China
А. А. Костин Russia
Kerry Rennie Canada
Grace Zhao United States
Michinori Koebis Japan
Makiko Morita Japan
Miao Zhao China
Daniel García‐Pérez Spain
Jennifer L. Dreiling United States
Matthew A. Johnson relative to Chaoshi Niu China Chaoshi Niu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Matthew A. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008150
2 201337
3 201225
4 201920
5 199220
6 201419
7 201417
8 201717
9 201613
10 20149
11 20178
12 20147
13 20214
14 20164
15 20173
16 20162
17 20250

About Matthew A. Johnson

Matthew A. Johnson is a scholar working on Cognitive Neuroscience, Surgery, Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 17 papers that have together received 355 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (5 papers), EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (3 papers), Functional Brain Connectivity Studies (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Reconstructive Facial Surgery Techniques (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Developmental Neuroscience (22 citations), Biological Psychiatry (13 citations), Cellular and Molecular Neuroscience (100 citations), General Decision Sciences (9 citations) and Cognitive Neuroscience (75 citations). Matthew A. Johnson has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include John T. Gale, Scott Schobel, Scott A. Small, Holly Moore, Jay A. Gingrich, Rose E. Goodchild, Lorna W. Role, Gorazd Rosoklija, Andrew J. Dwork and Michael D. Lieberman. Their work appears in journals such as Scientific Reports, Operative Neurosurgery, Journal of Neuroscience, Frontiers in Neural Circuits and Proceedings of the National Academy of Sciences.

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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