Blake Johnson
Impact in
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Aerospace Engineering top 10%
- Turbomachinery Performance and Optimization
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Gene expression and cancer classification 2
-
- Turbomachinery Performance and Optimization 6
- Co-authors
- Hui Hu (7 shared papers)Wei Tian (2 shared papers)Kai Zhang (2 shared papers)Joya Chandra (3 shared papers)Melissa Singh (2 shared papers)Karen L. Abbott (4 shared papers)Wenwu Zhou (3 shared papers)Zhongpeng Lu (4 shared papers)
- Journals
- Oncotarget (2 papers)Scientific Reports (2 papers)Neuro-Oncology (2 papers)Journal of Propulsion and Power (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesMauritiusFrance
In The Last Decade
Blake Johnson
25 papers receiving 446 citations
Peers
Comparison fields: 5 of 83
- Computational Mechanics 160
- Aerospace Engineering 190
- Mechanical Engineering 160
- Genetics 32
- Molecular Biology 164
Countries citing papers authored by Blake Johnson
This map shows the geographic impact of Blake 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 Blake Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Blake Johnson more than expected).
Fields of papers citing papers by Blake Johnson
This network shows the impact of papers produced by Blake 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 Blake Johnson. The network helps show where Blake Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Blake 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 101 | |
| 2 | 2015 | 66 | |
| 3 | 2016 | 47 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 38 | |
| 6 | 2016 | 27 | |
| 7 | 2014 | 24 | |
| 8 | 2005 | 23 | |
| 9 | 2015 | 23 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 16 | |
| 12 | An Experimental Study of Film Cooling Effectiveness by Using PIV and PSP Techniques | 2013 | 6 |
| 13 | 2012 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2018 | 1 |
About Blake Johnson
Blake Johnson is a scholar working on Molecular Biology, Aerospace Engineering, Oncology, Media Technology and Mechanical Engineering, having authored 33 papers that have together received 452 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (6 papers), Engineering Education and Curriculum Development (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Heat Transfer Mechanisms (4 papers), Engineering Education and Pedagogy (4 papers), Glycosylation and Glycoproteins Research (3 papers), Gene expression and cancer classification (2 papers) and Innovative Teaching Methods (2 papers). The work is most often cited by research in Computational Mechanics (160 citations), Aerospace Engineering (190 citations), Mechanical Engineering (160 citations), Genetics (32 citations) and Molecular Biology (164 citations). Blake Johnson has collaborated with scholars based in United States, Mauritius and France. Frequent co-authors include Hui Hu, Wei Tian, Kai Zhang, Joya Chandra, Melissa Singh, Karen L. Abbott, Wenwu Zhou, Zhongpeng Lu, Michelle Barton and Frederick Lang. Their work appears in journals such as Oncotarget, Scientific Reports, Neuro-Oncology, Journal of Propulsion and Power and Cancer Research.
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.