Nessa Johnson

1.3k citations
17 papers · 585 · h-index 10

Impact in

  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies
    • EEG and Brain-Computer Interfaces
    • Functional Brain Connectivity Studies
    • Neural dynamics and brain function

Papers in

Nessa Johnson

15 papers receiving 578 citations

Peers

Nessa Johnson
Comparison fields: 5 of 80
  • Neurology 125
  • Cognitive Neuroscience 192
  • Cellular and Molecular Neuroscience 101
  • Cardiology and Cardiovascular Medicine 88
  • Rehabilitation 24
Replace Congcong Huo with:
Congcong Huo China
Peter Grieshofer Austria
Ahee Lee South Korea
Ljubica Konstantinović Serbia
Yohei Okada Japan
Gongcheng Xu China
Sonia M. Brodie Canada
M. A. Urbin United States
Jennifer Wu United States
Diego Orcioli‐Silva Brazil
Nessa Johnson relative to Congcong Huo China Congcong Huo's profile →
Citations per field
00.5×4.4×
Congcong Huo · 1×
Citations per year

Countries citing papers authored by Nessa Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Nessa Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2013162
2 201770
3 201758
4 201153
5 201353
6 202443
7 201937
8 201530
9 202228
10 202226
11 19979
12 20235
13 20155
14 20254
15 20102
16 20100
17 20250

About Nessa Johnson

Nessa Johnson is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 17 papers that have together received 585 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (4 papers), Neuroscience and Neural Engineering (2 papers), Advanced MRI Techniques and Applications (2 papers), Heart Failure Treatment and Management (2 papers), Burn Injury Management and Outcomes (2 papers), Functional Brain Connectivity Studies (2 papers), Neurological disorders and treatments (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Neurology (125 citations), Cognitive Neuroscience (192 citations), Cellular and Molecular Neuroscience (101 citations), Cardiology and Cardiovascular Medicine (88 citations) and Rehabilitation (24 citations). Nessa Johnson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Bin He, James R. Carey, Abhrajeet Roy, Hubert H. Lim, Kelvin O. Lim, Théoden I. Netoff, Matthew D. Johnson, Allison T. Connolly, Jerrold L. Vitek and Bradley J. Edelman. Their work appears in journals such as JACC Heart Failure, IEEE Transactions on Biomedical Engineering, Journal of the American College of Cardiology, Journal of Thermal Science and Engineering Applications and European Heart Journal.

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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