Karoline K. Johnson

782 total citations
7 papers, 553 citations indexed

About

Karoline K. Johnson is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Automotive Engineering. According to data from OpenAlex, Karoline K. Johnson has authored 7 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 6 papers in Environmental Engineering and 3 papers in Automotive Engineering. Recurrent topics in Karoline K. Johnson's work include Air Quality and Health Impacts (6 papers), Air Quality Monitoring and Forecasting (6 papers) and Vehicle emissions and performance (3 papers). Karoline K. Johnson is often cited by papers focused on Air Quality and Health Impacts (6 papers), Air Quality Monitoring and Forecasting (6 papers) and Vehicle emissions and performance (3 papers). Karoline K. Johnson collaborates with scholars based in United States, China and India. Karoline K. Johnson's co-authors include Michael Bergin, Armistead G. Russell, Gayle S. W. Hagler, David Carlson, Tongshu Zheng, S. N. Tripathi, Ronak Sutaria, Matthew S. Landis, James J. Schauer and Yinping Zhang and has published in prestigious journals such as The Science of The Total Environment, American Journal of Respiratory and Critical Care Medicine and Building and Environment.

In The Last Decade

Karoline K. Johnson

7 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karoline K. Johnson United States 6 472 460 165 129 71 7 553
Wan Jiao United States 8 359 0.8× 393 0.9× 135 0.8× 102 0.8× 61 0.9× 9 480
Vasileios Papapostolou United States 14 512 1.1× 523 1.1× 218 1.3× 159 1.2× 79 1.1× 26 675
Tongshu Zheng United States 7 355 0.8× 368 0.8× 138 0.8× 93 0.7× 96 1.4× 9 432
Karoline K. Barkjohn United States 16 597 1.3× 415 0.9× 170 1.0× 81 0.6× 111 1.6× 20 729
Brandon Feenstra United States 11 432 0.9× 486 1.1× 235 1.4× 102 0.8× 108 1.5× 18 580
Daniel Miller-Lionberg United States 8 296 0.6× 273 0.6× 118 0.7× 68 0.5× 83 1.2× 12 440
Ronak Sutaria India 8 343 0.7× 380 0.8× 138 0.8× 98 0.8× 90 1.3× 14 441
Provat K. Saha United States 14 640 1.4× 386 0.8× 350 2.1× 202 1.6× 133 1.9× 33 748
Peter Steigmeier Switzerland 7 286 0.6× 187 0.4× 92 0.6× 117 0.9× 37 0.5× 9 397
Burcu Onat Türkiye 13 415 0.9× 232 0.5× 159 1.0× 194 1.5× 49 0.7× 39 523

Countries citing papers authored by Karoline K. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Karoline K. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karoline K. Johnson

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

All Works

7 of 7 papers shown
1.
Johnson, Karoline K., et al.. (2025). The Impact of Time Scale on the Cost-Effectiveness of Air Cleaners for Reducing Exposure to Air Pollution From Wildfires. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A5413–A5413. 1 indexed citations
2.
Fang, Lin, Christina Norris, Karoline K. Johnson, et al.. (2019). Toxic volatile organic compounds in 20 homes in Shanghai: Concentrations, inhalation health risks, and the impacts of household air cleaning. Building and Environment. 157. 309–318. 73 indexed citations
3.
Zheng, Tongshu, Michael Bergin, Karoline K. Johnson, et al.. (2018). Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments. Atmospheric measurement techniques. 11(8). 4823–4846. 277 indexed citations
4.
Johnson, Karoline K., Michael Bergin, Armistead G. Russell, & Gayle S. W. Hagler. (2018). Field Test of Several Low-Cost Particulate Matter Sensors in High and Low Concentration Urban Environments. Aerosol and Air Quality Research. 18(3). 565–578. 111 indexed citations
5.
Zhan, Ying, Karoline K. Johnson, Christina Norris, et al.. (2018). The influence of air cleaners on indoor particulate matter components and oxidative potential in residential households in Beijing. The Science of The Total Environment. 626. 507–518. 49 indexed citations
6.
Johnson, Karoline K., et al.. (2018). Personal Exposure to PM2.5 in the Various Microenvironments as a Traveler in the Southeast Asian Countries. American Journal of Environmental Sciences. 14(4). 170–184. 8 indexed citations
7.
Johnson, Karoline K., Michael Bergin, Armistead G. Russell, & Gayle S. W. Hagler. (2016). Using Low Cost Sensors to Measure Ambient Particulate Matter Concentrations and On-Road Emissions Factors. 34 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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