Kevin A. Johnson
- Cognitive Neuroscience top 2%
- Physiology top 5%
- Neurology top 2%
- Pharmacology top 2%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Mark S. GeorgeSean MackeyQiwen MuF. Andrew KozelZiad NahasDaryl E. BohningSteven J. LakenXingbao Li
- Topics
- Musculoskeletal pain and rehabilitation (18 papers)Pain Mechanisms and Treatments (12 papers)Transcranial Magnetic Stimulation Studies (11 papers)
- Partner nations
- United StatesUnited KingdomLebanon
In The Last Decade
Kevin A. Johnson
64 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 137
- Cognitive Neuroscience 1.2k
- Physiology 538
- Neurology 448
- Pharmacology 407
- Experimental and Cognitive Psychology 365
Countries citing papers authored by Kevin A. Johnson
This map shows the geographic impact of Kevin 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 Kevin 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 Kevin A. Johnson more than expected).
Fields of papers citing papers by Kevin A. Johnson
This network shows the impact of papers produced by Kevin 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 Kevin A. Johnson. The network helps show where Kevin A. Johnson may publish in the future.
Co-authorship network of co-authors of Kevin A. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin A. Johnson. A scholar is included among the top collaborators of Kevin A. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin A. Johnson. Kevin A. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 29 | |
| 3 | 27 | |
| 4 | 1 | |
| 5 | 62 | |
| 6 | 2 | |
| 7 | 54 | |
| 8 | 1 | |
| 9 | 72 | |
| 10 | 41 | |
| 11 | 19 | |
| 12 | 133 | |
| 13 | 14 | |
| 14 | 36 | |
| 15 | Using imaging to target the prefrontal cortex for transcranial magnetic stimulation studies in treatment-resistant depression | 4 |
| 16 | Using Montor and Prefrontal Cortex Interleaved Transcranial Magnetic Stimulation (TMS) BOLD fMRI to Compare the Mechanism of Action of Lamotrigine to Valproic Acid in Normal Volunteers. | 1 |
| 17 | 129 | |
| 18 | 150 | |
| 19 | 16 | |
| 20 | 24 |
About Kevin A. Johnson
Kevin A. Johnson is a scholar working on Neurology, Cognitive Neuroscience and Pharmacology, having authored 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (18 papers), Pain Mechanisms and Treatments (12 papers) and Transcranial Magnetic Stimulation Studies (11 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Neurology (448 citations) and Experimental and Cognitive Psychology (365 citations). Kevin A. Johnson has collaborated with scholars based in United States, United Kingdom and Lebanon. Frequent co-authors include Mark S. George, Sean Mackey, Qiwen Mu, F. Andrew Kozel, Ziad Nahas, Daryl E. Bohning, Steven J. Laken, Xingbao Li, Karen J. Hartwell and Todd LeMatty. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Biological Psychiatry.
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.