Jamie Johnson
Impact in
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances
- Developmental Biology top 10%
Papers in
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- Kruppel-like factors research 2
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- Software-Defined Networks and 5G 3
- Co-authors
- Erin D. Bigler (5 shared papers)Elisabeth A. Wilde (3 shared papers)Jill V. Hunter (3 shared papers)Harvey S. Levin (3 shared papers)Xiaoqi Li (3 shared papers)Michael A. Fearing (3 shared papers)Jocelyne Bachevalier (2 shared papers)Mary R. Newsome (2 shared papers)
- Journals
- Theriogenology (3 papers)Cancer Prevention Research (1 paper)Journal of Child Neurology (1 paper)Neurocase (1 paper)Pediatric Dermatology (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Jamie Johnson
33 papers receiving 628 citations
Peers
Comparison fields: 5 of 118
- Neurology 165
- Developmental Biology 23
- Emergency Medicine 86
- Epidemiology 283
- Pediatrics, Perinatology and Child Health 115
Countries citing papers authored by Jamie Johnson
This map shows the geographic impact of Jamie 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 Jamie Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Johnson more than expected).
Fields of papers citing papers by Jamie Johnson
This network shows the impact of papers produced by Jamie 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 Jamie Johnson. The network helps show where Jamie Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 178 | |
| 2 | 2014 | 143 | |
| 3 | 2007 | 93 | |
| 4 | 2008 | 37 | |
| 5 | 1981 | 23 | |
| 6 | 2017 | 22 | |
| 7 | 1980 | 21 | |
| 8 | 2008 | 18 | |
| 9 | 2012 | 16 | |
| 10 | 1997 | 15 | |
| 11 | 2008 | 14 | |
| 12 | 2013 | 9 | |
| 13 | 2020 | 7 | |
| 14 | 1980 | 6 | |
| 15 | 2011 | 6 | |
| 16 | 2011 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2013 | 4 | |
| 19 | 2000 | 3 | |
| 20 | 2013 | 3 |
About Jamie Johnson
Jamie Johnson is a scholar working on Molecular Biology, Computer Networks and Communications, Neurology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 34 papers that have together received 647 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Neonatal and fetal brain pathology (3 papers), Photovoltaic Systems and Sustainability (3 papers), Software-Defined Networks and 5G (3 papers), Traumatic Brain Injury Research (3 papers), Bioenergy crop production and management (2 papers), Kruppel-like factors research (2 papers) and Congenital limb and hand anomalies (2 papers). The work is most often cited by research in Neurology (165 citations), Developmental Biology (23 citations), Emergency Medicine (86 citations), Epidemiology (283 citations) and Pediatrics, Perinatology and Child Health (115 citations). Jamie Johnson has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Erin D. Bigler, Elisabeth A. Wilde, Jill V. Hunter, Harvey S. Levin, Xiaoqi Li, Michael A. Fearing, Jocelyne Bachevalier, Mary R. Newsome, Randall S. Scheibel and Howard B. Cleavinger. Their work appears in journals such as Theriogenology, Cancer Prevention Research, Journal of Child Neurology, Neurocase and Pediatric Dermatology.
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.