Michael D. Hays

6.3k total citations · 1 hit paper
89 papers, 4.8k citations indexed

About

Michael D. Hays is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering. According to data from OpenAlex, Michael D. Hays has authored 89 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Health, Toxicology and Mutagenesis, 49 papers in Atmospheric Science and 25 papers in Automotive Engineering. Recurrent topics in Michael D. Hays's work include Air Quality and Health Impacts (58 papers), Atmospheric chemistry and aerosols (49 papers) and Vehicle emissions and performance (22 papers). Michael D. Hays is often cited by papers focused on Air Quality and Health Impacts (58 papers), Atmospheric chemistry and aerosols (49 papers) and Vehicle emissions and performance (22 papers). Michael D. Hays collaborates with scholars based in United States, China and India. Michael D. Hays's co-authors include Brian K. Gullett, Christopher D. Geron, Randy L. Vander Wal, Amara L. Holder, James J. Jetter, N. Dean Smith, Mingjie Xie, James J. Schauer, Michael J. Kleeman and Philip M. Fine and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Analytical Chemistry.

In The Last Decade

Michael D. Hays

88 papers receiving 4.7k citations

Hit Papers

Pollutant Emissions and Energy Efficiency under Controlle... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Hays United States 39 3.0k 2.6k 1.1k 971 905 89 4.8k
Matthew P. Fraser United States 44 4.0k 1.3× 4.5k 1.7× 1.3k 1.2× 518 0.5× 1.8k 2.0× 108 6.9k
Yanyan Zhang China 40 3.6k 1.2× 1.8k 0.7× 659 0.6× 1.3k 1.4× 607 0.7× 89 5.5k
Philip M. Fine United States 33 4.1k 1.3× 3.1k 1.2× 1.8k 1.6× 428 0.4× 889 1.0× 52 5.0k
Kihong Park South Korea 29 2.2k 0.7× 1.8k 0.7× 896 0.8× 293 0.3× 662 0.7× 125 3.5k
Ranjeet S. Sokhi United Kingdom 28 3.2k 1.1× 1.6k 0.6× 786 0.7× 598 0.6× 606 0.7× 90 4.2k
Mathew R. Heal United Kingdom 42 4.0k 1.3× 2.7k 1.1× 960 0.9× 559 0.6× 1.1k 1.2× 199 6.0k
Steven H. Cadle United States 37 3.2k 1.0× 3.0k 1.2× 1.6k 1.5× 476 0.5× 916 1.0× 96 5.2k
Jürgen Schnelle‐Kreis Germany 32 2.3k 0.7× 1.9k 0.7× 791 0.7× 289 0.3× 419 0.5× 98 3.1k
Wolfgang F. Rogge United States 31 7.3k 2.4× 7.0k 2.7× 2.1k 1.9× 758 0.8× 1.8k 2.0× 41 9.5k
Shaofei Kong China 46 5.2k 1.7× 4.1k 1.6× 1.0k 1.0× 903 0.9× 1.7k 1.9× 181 6.8k

Countries citing papers authored by Michael D. Hays

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Hays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Hays. 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 Michael D. Hays. The network helps show where Michael D. Hays may publish in the future.

Co-authorship network of co-authors of Michael D. Hays

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Hays. A scholar is included among the top collaborators of Michael D. Hays 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 Michael D. Hays. Michael D. Hays 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.
Padilla, Stephanie, Yong Ho Kim, Deborah L. Hunter, et al.. (2024). Burn pit-related smoke causes developmental and behavioral toxicity in zebrafish: Influence of material type and emissions chemistry. Heliyon. 10(8). e29675–e29675. 2 indexed citations
2.
Dillner, Ann M., Guofeng Shen, Wyatt M. Champion, et al.. (2024). Quantifying functional group compositions of household fuel-burning emissions. Atmospheric measurement techniques. 17(8). 2401–2413. 2 indexed citations
3.
Berntsen, Jon, Edward Ross Pennington, Lisa A. Dailey, et al.. (2024). Monitoring redox stress in human airway epithelial cells exposed to woodsmoke at an air–liquid interface. Particle and Fibre Toxicology. 21(1). 14–14. 4 indexed citations
4.
George, Ingrid, et al.. (2022). Development of volatility distributions for organic matter in biomass burning emissions. Environmental Science Atmospheres. 3(1). 11–23. 5 indexed citations
5.
Kim, Yong Ho, Sarah H. Warren, Ingeborg M. Kooter, et al.. (2021). Chemistry, lung toxicity and mutagenicity of burn pit smoke-related particulate matter. Particle and Fibre Toxicology. 18(1). 45–45. 39 indexed citations
6.
Xie, Mingjie, Xi Chen, Michael D. Hays, & Amara L. Holder. (2019). Composition and light absorption of N-containing aromatic compounds in organic aerosols from laboratory biomass burning. Atmospheric chemistry and physics. 19(5). 2899–2915. 82 indexed citations
7.
Tennant, Alan H., Rory B. Conolly, David M. DeMarini, et al.. (2019). High-Throughput Video Processing of Heart Rate Responses in Multiple Wild-type Embryonic Zebrafish per Imaging Field. Scientific Reports. 9(1). 145–145. 31 indexed citations
8.
Kim, Yong Ho, Charly King, Marie McGee, et al.. (2019). The role of fuel type and combustion phase on the toxicity of biomass smoke following inhalation exposure in mice. Archives of Toxicology. 93(6). 1501–1513. 50 indexed citations
9.
Bray, Casey D., et al.. (2019). An assessment of important SPECIATE profiles in the EPA emissions modeling platform and current data gaps. Atmospheric Environment. 207. 93–104. 31 indexed citations
10.
Xie, Mingjie, Xi Chen, Amara L. Holder, et al.. (2018). Light absorption of organic carbon and its sources at a southeastern U.S. location in summer. Environmental Pollution. 244. 38–46. 58 indexed citations
11.
Chen, Xi, Mingjie Xie, Michael D. Hays, et al.. (2018). Characterization of organic nitrogen in aerosols at a forest site in the southern Appalachian Mountains. Atmospheric chemistry and physics. 18(9). 6829–6846. 16 indexed citations
12.
DeMarini, David M., Sarah H. Warren, Johanna Aurell, et al.. (2017). Mutagenicity and oxidative damage induced by an organic extract of the particulate emissions from a simulation of the deepwater horizon surface oil burns. Environmental and Molecular Mutagenesis. 58(3). 162–171. 15 indexed citations
13.
Yelverton, Tiffany L.B., Michael D. Hays, Brian K. Gullett, & William P. Linak. (2014). Black Carbon Measurements of Flame-Generated Soot as Determined by Optical, Thermal-Optical, Direct Absorption, and Laser Incandescence Methods. Environmental Engineering Science. 31(4). 209–215. 26 indexed citations
14.
Kim, Yong Ho, Haiyan Tong, Mary J. Daniels, et al.. (2014). Cardiopulmonary toxicity of peat wildfire particulate matter and the predictive utility of precision cut lung slices. Particle and Fibre Toxicology. 11(1). 29–29. 76 indexed citations
15.
Oakes, Michelle, Ellery D. Ingall, Barry Lai, et al.. (2012). Iron Solubility Related to Particle Sulfur Content in Source Emission and Ambient Fine Particles. Environmental Science & Technology. 46(12). 6637–6644. 133 indexed citations
16.
Samy, Shar, J. Robinson, & Michael D. Hays. (2011). An advanced LC-MS (Q-TOF) technique for the detection of amino acids in atmospheric aerosols. Analytical and Bioanalytical Chemistry. 401(10). 3103–3113. 38 indexed citations
17.
Hays, Michael D., et al.. (2010). Using Thermal-Optical Analysis to Examine the OC-EC Split that Characterizes Ambient and Source Emissions Aerosols. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
18.
Ma, Yongjun, et al.. (2010). Technical Note: Fast two-dimensional GC-MS with thermal extraction for anhydro-sugars in fine aerosols. Atmospheric chemistry and physics. 10(9). 4331–4341. 17 indexed citations
20.
Duvall, Rachelle M., et al.. (2008). Evaluation of the CMB and PMF models using organic molecular markers in fine particulate matter collected during the Pittsburgh Air Quality Study. Atmospheric Environment. 42(29). 6897–6904. 48 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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