Mark Cohen

9.9k total citations · 1 hit paper
54 papers, 6.8k citations indexed

About

Mark Cohen is a scholar working on Health, Toxicology and Mutagenesis, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Mark Cohen has authored 54 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Health, Toxicology and Mutagenesis, 19 papers in Global and Planetary Change and 16 papers in Atmospheric Science. Recurrent topics in Mark Cohen's work include Mercury impact and mitigation studies (21 papers), Toxic Organic Pollutants Impact (19 papers) and Air Quality and Health Impacts (14 papers). Mark Cohen is often cited by papers focused on Mercury impact and mitigation studies (21 papers), Toxic Organic Pollutants Impact (19 papers) and Air Quality and Health Impacts (14 papers). Mark Cohen collaborates with scholars based in United States, Canada and South Korea. Mark Cohen's co-authors include Roland R. Draxler, Fong Ngan, Ariel Stein, Barbara J. B. Stunder, Glenn D. Rolph, G. Schmidt, John H. Seinfeld, Richard C. Flagan, Richard S. Artz and J. E. Katon and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and The Journal of Physical Chemistry.

In The Last Decade

Mark Cohen

52 papers receiving 6.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System

2015 4.5k citations Ariel Stein, Roland R. Draxler et al. Bulletin of the American Meteorological Society profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mark Cohen	4.2k	3.1k	2.7k	694	443	54	6.8k
Rolf Sander	6.7k 1.6×	4.2k 1.4×	1.9k 0.7×	998 1.4×	301 0.7×	123	9.5k
Simon L. Clegg	6.0k 1.5×	3.0k 1.0×	2.2k 0.8×	795 1.1×	136 0.3×	129	9.1k
Jean‐François Müller	6.8k 1.6×	5.1k 1.7×	2.4k 0.9×	1.2k 1.7×	128 0.3×	194	9.1k
Thorsten Hoffmann	8.4k 2.0×	3.2k 1.1×	5.4k 2.0×	1.4k 2.0×	193 0.4×	223	11.8k
Steven S. Brown	10.1k 2.4×	4.3k 1.4×	5.1k 1.9×	2.0k 2.9×	293 0.7×	229	12.2k
P. B. Shepson	10.5k 2.5×	6.4k 2.1×	3.5k 1.3×	1.8k 2.5×	188 0.4×	264	12.9k
Allan K. Bertram	8.2k 2.0×	4.6k 1.5×	3.4k 1.3×	546 0.8×	139 0.3×	189	9.4k
Shiro Hatakeyama	3.7k 0.9×	1.2k 0.4×	2.4k 0.9×	616 0.9×	156 0.4×	157	4.6k
Parisa A. Ariya	2.5k 0.6×	1.0k 0.3×	3.6k 1.3×	305 0.4×	642 1.4×	152	6.1k
Frank Stratmann	8.1k 2.0×	5.1k 1.7×	3.3k 1.2×	820 1.2×	84 0.2×	240	9.4k

Countries citing papers authored by Mark Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Mark Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Cohen. 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 Mark Cohen. The network helps show where Mark Cohen may publish in the future.

Co-authorship network of co-authors of Mark Cohen

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

All Works

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20 of 20 papers shown

Crawford, Alice, Tianfeng Chai, Mark Cohen, et al.. (2025). Improving Volcanic SO ₂ Cloud Modeling Through Data Fusion and Trajectory Analysis: A Case Study of the 2022 Hunga Tonga Eruption. Journal of Geophysical Research Atmospheres. 130(4).

Ngan, Fong, et al.. (2024). Improving the atmospheric dispersion forecasts over Washington, D.C. using UrbanNet observations: A study with HYSPLIT model. Urban Climate. 55. 101948–101948. 5 indexed citations

Li, Yunyao, Daniel Tong, Timothy DelSole, et al.. (2024). Multiagency Ensemble Forecast of Wildfire Air Quality in the United States: Toward Community Consensus of Early Warning. Bulletin of the American Meteorological Society. 105(6). E991–E1003. 2 indexed citations

Cohen, Mark, et al.. (2024). Elevated total mercury (THg) levels in water sources under the influence of artisanal and small-scale gold mining (ASGM) in Tanzania. Environmental Monitoring and Assessment. 196(11). 1036–1036. 1 indexed citations

Ngan, Fong, Christopher P. Loughner, Mark Cohen, et al.. (2023). The Use of Small Uncrewed Aircraft System Observations in Meteorological and Dispersion Modeling. Journal of Applied Meteorology and Climatology. 62(7). 817–834. 2 indexed citations

Chai, Tianfeng, Xinrong Ren, Fong Ngan, Mark Cohen, & Alice Crawford. (2023). Estimation of power plant SO ₂ emissions using the HYSPLIT dispersion model and airborne observations with plume rise ensemble runs. Atmospheric chemistry and physics. 23(19). 12907–12933. 2 indexed citations

Allen, Deonie, Steve Allen, Vittorio Maselli, et al.. (2023). Transport and deposition of ocean-sourced microplastic particles by a North Atlantic hurricane. Communications Earth & Environment. 4(1). 38 indexed citations

Tong, Daniel, Yunyao Li, E. J. Hyer, et al.. (2023). Development and Evaluation of a North America Ensemble Wildfire Air Quality Forecast: Initial Application to the 2020 Western United States “Gigafire”. Journal of Geophysical Research Atmospheres. 128(22). 9 indexed citations

Kim, Hyun Cheol, Soontae Kim, Mark Cohen, et al.. (2021). Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity. Atmospheric chemistry and physics. 21(13). 10065–10080. 14 indexed citations

10.

Cizdziel, James V., J. Stephen Brewer, Winston T. Luke, et al.. (2020). Gaseous Elemental Mercury Concentrations along the Northern Gulf of Mexico Using Passive Air Sampling, with a Comparison to Active Sampling. Atmosphere. 11(10). 1034–1034. 6 indexed citations

11.

Kim, Hyun Cheol, Soontae Kim, Mark Cohen, et al.. (2020). Quantitative assessment of changes in surface particulate matter concentrations over China during the COVID-19 pandemic and their implications for Chinese economic activity. 4 indexed citations

12.

Luke, Winston T., Paul Kelley, Xiuyun Ren, et al.. (2018). Speciated Atmospheric Mercury Measurements at the Mauna Loa, Hawaii AMNet Site: Patterns, Trends, and Sources. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

13.

Stein, Ariel, Roland R. Draxler, Glenn D. Rolph, et al.. (2015). NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System. Bulletin of the American Meteorological Society. 96(12). 2059–2077. 4481 indexed citations breakdown →

14.

Lei, Hang, Donald J. Wuebbles, Xin‐Zhong Liang, et al.. (2014). Projections of atmospheric mercury levels and their effect on air quality in the United States. Atmospheric chemistry and physics. 14(2). 783–795. 13 indexed citations

15.

Driscoll, Charles T., et al.. (2011). A synthesis of rates and controls on elemental mercury evasion in the Great Lakes Basin. Environmental Pollution. 161. 291–298. 30 indexed citations

16.

Schmeltz, D., David C. Evers, Charles T. Driscoll, et al.. (2011). MercNet: a national monitoring network to assess responses to changing mercury emissions in the United States. Ecotoxicology. 20(7). 1713–1725. 55 indexed citations

17.

Ryaboshapko, A. G., O. Russell Bullock, Jesper Heile Christensen, et al.. (2007). Intercomparison study of atmospheric mercury models: 1. Comparison of models with short-term measurements. The Science of The Total Environment. 376(1-3). 228–240. 31 indexed citations

18.

Ryaboshapko, A. G., O. Russell Bullock, Jesper Heile Christensen, et al.. (2007). Intercomparison study of atmospheric mercury models: 2. Modelling results vs. long-term observations and comparison of country deposition budgets. The Science of The Total Environment. 377(2-3). 319–333. 42 indexed citations

19.

Cohen, Mark, Richard S. Artz, Roland R. Draxler, et al.. (2004). Modeling the atmospheric transport and deposition of mercury to the Great Lakes. Environmental Research. 95(3). 247–265. 123 indexed citations

20.

Cohen, Mark, Roland R. Draxler, Richard S. Artz, et al.. (2002). Modeling the Atmospheric Transport and Deposition of PCDD/F to the Great Lakes. Environmental Science & Technology. 36(22). 4831–4845. 53 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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