Daniel S. Cohan

2.8k total citations
62 papers, 2.0k citations indexed

About

Daniel S. Cohan is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change. According to data from OpenAlex, Daniel S. Cohan has authored 62 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Atmospheric Science, 31 papers in Health, Toxicology and Mutagenesis and 18 papers in Global and Planetary Change. Recurrent topics in Daniel S. Cohan's work include Atmospheric chemistry and aerosols (40 papers), Air Quality and Health Impacts (30 papers) and Atmospheric and Environmental Gas Dynamics (14 papers). Daniel S. Cohan is often cited by papers focused on Atmospheric chemistry and aerosols (40 papers), Air Quality and Health Impacts (30 papers) and Atmospheric and Environmental Gas Dynamics (14 papers). Daniel S. Cohan collaborates with scholars based in United States, China and Australia. Daniel S. Cohan's co-authors include Yongtao Hu, Armistead G. Russell, Sergey L. Napelenok, Amir Hakami, Michelle L. Bell, Meng Ji, W. L. Chameides, Wei Zhou, Roby Greenwald and Jin Xu and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Daniel S. Cohan

61 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Cohan United States 25 1.4k 1.1k 619 481 335 62 2.0k
Jan Eiof Jonson Norway 24 1.6k 1.1× 1.0k 0.9× 794 1.3× 591 1.2× 513 1.5× 42 2.3k
Michael Gauss Norway 28 1.7k 1.3× 1.1k 1.0× 1.1k 1.8× 745 1.5× 734 2.2× 48 2.6k
Nadège Blond France 21 711 0.5× 1.2k 1.0× 570 0.9× 872 1.8× 227 0.7× 48 1.9k
Á. Nyíri Norway 14 840 0.6× 767 0.7× 369 0.6× 336 0.7× 323 1.0× 28 1.4k
David C. Wong United States 26 1.6k 1.2× 1.2k 1.0× 1.0k 1.7× 536 1.1× 212 0.6× 50 2.0k
J. A. van Aardenne Germany 11 1.5k 1.1× 795 0.7× 1.2k 2.0× 472 1.0× 318 0.9× 17 2.3k
Philippe Thunis Italy 35 1.9k 1.4× 2.1k 1.8× 785 1.3× 1.0k 2.1× 962 2.9× 101 3.0k
Antoon Visschedijk Netherlands 21 1.2k 0.9× 1.0k 0.9× 690 1.1× 356 0.7× 426 1.3× 43 1.8k
Candis Claiborn United States 28 1.1k 0.8× 1.3k 1.1× 469 0.8× 480 1.0× 369 1.1× 47 2.0k
Frédérik Meleux France 22 1.4k 1.0× 1.1k 1.0× 844 1.4× 542 1.1× 262 0.8× 48 1.9k

Countries citing papers authored by Daniel S. Cohan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Cohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Cohan. 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 Daniel S. Cohan. The network helps show where Daniel S. Cohan may publish in the future.

Co-authorship network of co-authors of Daniel S. Cohan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Cohan. A scholar is included among the top collaborators of Daniel S. Cohan 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 Daniel S. Cohan. Daniel S. Cohan 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.
Luo, Lina, Daniel S. Cohan, Ram Gurung, et al.. (2024). Impacts assessment of nitrification inhibitors on U.S. agricultural emissions of reactive nitrogen gases. Journal of Environmental Management. 359. 121043–121043. 6 indexed citations
2.
3.
Temzelides, Ted, et al.. (2022). Race and ethnic minority, local pollution, and COVID-19 deaths in Texas. Scientific Reports. 12(1). 1002–1002. 6 indexed citations
4.
Goldman, G. T., et al.. (2021). Assessment of Air Pollution Impacts and Monitoring Data Limitations of a Spring 2019 Chemical Facility Fire. Environmental Justice. 15(6). 362–372. 8 indexed citations
5.
Rasool, Quazi Z., Jesse O. Bash, & Daniel S. Cohan. (2019). Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1. Geoscientific model development. 12(2). 849–878. 24 indexed citations
6.
Rasool, Quazi Z., Jesse O. Bash, & Daniel S. Cohan. (2018). Mechanistic Module for Soil Nitrogen Emissions for CMAQ Model, North America, 2011. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 2 indexed citations
7.
Zhang, Rui, et al.. (2017). Source apportionment of biogenic contributions to ozone formation over the United States. Atmospheric Environment. 164. 8–19. 35 indexed citations
8.
Zhu, Τao, et al.. (2016). Inferring Atmospheric Particulate Matter Concentrations from Chinese Social Media Data. PLoS ONE. 11(9). e0161389–e0161389. 20 indexed citations
9.
Rasool, Quazi Z., Rui Zhang, Daniel S. Cohan, et al.. (2016). Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2. Geoscientific model development. 9(9). 3177–3197. 29 indexed citations
10.
Tang, Wei, Daniel S. Cohan, Arastoo Pour‐Biazar, et al.. (2015). Influence of satellite-derived photolysis rates and NO x emissions on Texas ozone modeling. Atmospheric chemistry and physics. 15(4). 1601–1619. 13 indexed citations
11.
Zhou, Wei, Daniel S. Cohan, & Barron H. Henderson. (2014). Slower ozone production in Houston, Texas following emission reductions: evidence from Texas Air Quality Studies in 2000 and 2006. Atmospheric chemistry and physics. 14(6). 2777–2788. 31 indexed citations
12.
Cohan, Daniel S. & Ran Chen. (2014). Modeled and observed fine particulate matter reductions from state attainment demonstrations. Journal of the Air & Waste Management Association. 64(9). 995–1002. 11 indexed citations
13.
Tang, Wei, Daniel S. Cohan, Lok N. Lamsal, Xue Xiao, & Wei Zhou. (2013). Inverse modeling of Texas NO x emissions using space-based and ground-based NO 2 observations. Atmospheric chemistry and physics. 13(21). 11005–11018. 25 indexed citations
14.
Zhou, Wei, Daniel S. Cohan, R. W. Pinder, et al.. (2012). Observation and modeling of the evolution of Texas power plant plumes. Atmospheric chemistry and physics. 12(1). 455–468. 30 indexed citations
15.
Ji, Meng, Daniel S. Cohan, & Michelle L. Bell. (2011). Meta-analysis of the association between short-term exposure to ambient ozone and respiratory hospital admissions. Environmental Research Letters. 6(2). 24006–24006. 118 indexed citations
16.
Cohan, Daniel S. & Sergey L. Napelenok. (2011). Air Quality Response Modeling for Decision Support. Atmosphere. 2(3). 407–425. 56 indexed citations
17.
Jin, Ling, et al.. (2008). Sensitivity Analysis of Ozone Formation and Transport for a Central California Air Pollution Episode. Environmental Science & Technology. 42(10). 3683–3689. 32 indexed citations
18.
Jin, Ling, et al.. (2007). Direct sensitivity analysis of ozone formation and transport in California's San Joaquin Valley. AGU Fall Meeting Abstracts. 2007. 1 indexed citations
19.
Cohan, Daniel S., Di Tian, Yongtao Hu, & Armistead G. Russell. (2006). Control Strategy Optimization for Attainment and Exposure Mitigation: Case Study for Ozone in Macon, Georgia. Environmental Management. 38(3). 451–462. 24 indexed citations
20.
Cohan, Daniel S., Jin Xu, Roby Greenwald, Michael Bergin, & W. L. Chameides. (2002). Impact of atmospheric aerosol light scattering and absorption on terrestrial net primary productivity. Global Biogeochemical Cycles. 16(4). 91 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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