Aaron N. Johnson

957 total citations
49 papers, 704 citations indexed

About

Aaron N. Johnson is a scholar working on Mechanics of Materials, Biomedical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Aaron N. Johnson has authored 49 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanics of Materials, 19 papers in Biomedical Engineering and 18 papers in Statistics, Probability and Uncertainty. Recurrent topics in Aaron N. Johnson's work include Flow Measurement and Analysis (21 papers), Scientific Measurement and Uncertainty Evaluation (18 papers) and Advanced Sensor Technologies Research (18 papers). Aaron N. Johnson is often cited by papers focused on Flow Measurement and Analysis (21 papers), Scientific Measurement and Uncertainty Evaluation (18 papers) and Advanced Sensor Technologies Research (18 papers). Aaron N. Johnson collaborates with scholars based in United States, Germany and China. Aaron N. Johnson's co-authors include Eric N. Olson, Mayssa H. Mokalled, John D. Wright, Michael R. Moldover, Yuri Kim, Rusty L. Montgomery, Michael Haberland, Stuart J. Newfeld, Esther E. Creemers and Jiang Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Development.

In The Last Decade

Aaron N. Johnson

45 papers receiving 657 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aaron N. Johnson United States 14 382 149 121 104 76 49 704
Chao Huang China 19 417 1.1× 162 1.1× 42 0.3× 10 0.1× 74 1.0× 65 1.1k
Esra Roan United States 16 203 0.5× 257 1.7× 38 0.3× 11 0.1× 29 0.4× 33 838
John Strong United States 20 446 1.2× 91 0.6× 33 0.3× 6 0.1× 98 1.3× 33 1.0k
Sabine Langer Germany 17 716 1.9× 143 1.0× 127 1.0× 15 0.1× 6 0.1× 62 1.4k
Andrew Voorhees United States 18 230 0.6× 154 1.0× 37 0.3× 27 0.3× 16 0.2× 40 996
Qizhi Xie China 17 318 0.8× 155 1.0× 18 0.1× 6 0.1× 80 1.1× 40 815
Keiji Masuda Japan 19 1.2k 3.2× 28 0.2× 34 0.3× 6 0.1× 118 1.6× 69 1.7k
Nan Miao China 11 212 0.6× 40 0.3× 14 0.1× 16 0.2× 13 0.2× 20 418
Saman Ebrahimi Iran 16 189 0.5× 44 0.3× 76 0.6× 5 0.0× 59 0.8× 35 813
Sungsu Lee South Korea 17 329 0.9× 97 0.7× 8 0.1× 6 0.1× 34 0.4× 113 1.0k

Countries citing papers authored by Aaron N. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Aaron N. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron N. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron N. Johnson. A scholar is included among the top collaborators of Aaron N. 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 Aaron N. Johnson. Aaron N. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gillis, Keith A., et al.. (2025). SLowFlowS: A novel flow standard for semiconductor process gases. Flow Measurement and Instrumentation. 102. 102831–102831.
2.
Crowley, Christopher, et al.. (2025). Calibrating laser Doppler anemometers utilizing an optical chopper. Metrologia. 62(2). 25001–25001. 1 indexed citations
3.
Moldover, Michael R., et al.. (2021). Facility for calibrating anemometers as a function of air velocity vector and turbulence. Metrologia. 58(4). 45008–45008. 5 indexed citations
4.
Johnson, Aaron N., et al.. (2021). Models of Distal Arthrogryposis and Lethal Congenital Contracture Syndrome. Genes. 12(6). 943–943. 5 indexed citations
5.
Antunes, Lilian, Diane S. Sepich, Aaron N. Johnson, et al.. (2020). MYH 3‐associated distal arthrogryposis zebrafish model is normalized with para‐aminoblebbistatin. EMBO Molecular Medicine. 12(11). e12356–e12356. 18 indexed citations
6.
Wright, John D., et al.. (2018). Errors in Rate of Rise Gas Flow Measurements from Flow Work | NIST.
7.
Bryant, Rodney A., et al.. (2014). An uncertainty analysis of mean flow velocity measurements used to quantify emissions from stationary sources. Journal of the Air & Waste Management Association. 64(6). 679–689. 13 indexed citations
8.
Johnson, Aaron N., et al.. (2013). Final results of bilateral comparison between NIST and PTB for flows of high pressure natural gas. Metrologia. 50(1A). 7004–7004. 6 indexed citations
9.
Mokalled, Mayssa H., Aaron N. Johnson, Esther E. Creemers, & Eric N. Olson. (2012). MASTR directs MyoD-dependent satellite cell differentiation during skeletal muscle regeneration. Genes & Development. 26(2). 190–202. 59 indexed citations
10.
Johnson, Aaron N., et al.. (2010). Description and Uncertainty Analysis of NISTs 20 Liter Hydrocarbon Liquid Flow Standard (20 L HLFS) | NIST. 1 indexed citations
11.
Wright, John D. & Aaron N. Johnson. (2009). Lower Uncertainty (0.015 % TO 0.025 %) OF NIST S Standard For Gas Flows From 0.01 TO 2000 Standard Liters/Minute | NIST. 1 indexed citations
12.
Yi, Peng, Aaron N. Johnson, Zhe Han, Jiang Wu, & Eric N. Olson. (2008). Heterotrimeric G Proteins Regulate a Noncanonical Function of Septate Junction Proteins to Maintain Cardiac Integrity in Drosophila. Developmental Cell. 15(5). 704–713. 43 indexed citations
13.
Takaesu, Norma T., et al.. (2007). A combinatorial enhancer recognized by Mad, TCF and Brinker first activates then represses dpp expression in the posterior spiracles of Drosophila. Developmental Biology. 313(2). 829–843. 9 indexed citations
14.
Johnson, Aaron N. & Thomas Kegel. (2004). Uncertainty and traceability for the CEESI Iowa natural gas facility. Journal of Research of the National Institute of Standards and Technology. 109(3). 345–345. 6 indexed citations
15.
Wisotzkey, Robert G., Aaron N. Johnson, Norma T. Takaesu, & Stuart J. Newfeld. (2003). α/β Hydrolase2, a Predicated Gene Adjacent to Mad in Drosophila melanogaster , Belongs to a New Global Multigene Family and Is Associated with Obesity. Journal of Molecular Evolution. 56(3). 351–361. 7 indexed citations
16.
Johnson, Aaron N., Casey Bergman, Martin Kreitman, & Stuart J. Newfeld. (2003). Embryonic enhancers in the dpp disk region regulate a second round of Dpp signaling from the dorsal ectoderm to the mesoderm that represses Zfh-1 expression in a subset of pericardial cells. Developmental Biology. 262(1). 137–151. 14 indexed citations
17.
Wright, John D., Aaron N. Johnson, & Michael R. Moldover. (2003). Design and uncertainty analysis for a PVTt gas flow standard. Journal of Research of the National Institute of Standards and Technology. 108(1). 21–21. 37 indexed citations
18.
Wright, John D., et al.. (2003). Volumetric Gas Flow Standard With Uncertainty of 0.02% to 0.05%. Journal of Fluids Engineering. 125(6). 1058–1066. 2 indexed citations
19.
20.
Johnson, Aaron N. & Stuart J. Newfeld. (2002). The TGF-β Family: Signaling Pathways, Developmental Roles, and Tumor Suppressor Activities. The Scientific World JOURNAL. 2. 892–925. 14 indexed citations

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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