Michael D. Moran

10.1k total citations · 2 hit papers
103 papers, 5.9k citations indexed

About

Michael D. Moran is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Michael D. Moran has authored 103 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Atmospheric Science, 60 papers in Global and Planetary Change and 47 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Michael D. Moran's work include Atmospheric chemistry and aerosols (77 papers), Air Quality and Health Impacts (47 papers) and Atmospheric and Environmental Gas Dynamics (33 papers). Michael D. Moran is often cited by papers focused on Atmospheric chemistry and aerosols (77 papers), Air Quality and Health Impacts (47 papers) and Atmospheric and Environmental Gas Dynamics (33 papers). Michael D. Moran collaborates with scholars based in Canada, United States and Netherlands. Michael D. Moran's co-authors include Roger A. Pielke, Leiming Zhang, Paul A. Makar, Melville E. Nicholls, R. L. Walko, Lewis D. Grasso, Craig J. Tremback, Jeffrey H. Copeland, Walter A. Lyons and William R. Cotton and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Geophysical Research Atmospheres and Environmental Science & Technology.

In The Last Decade

Michael D. Moran

98 papers receiving 5.7k citations

Hit Papers

align trajectories

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.

Arguments for rejecting the sequential Bonferroni in ecological studies

2003 1.3k citations Michael D. Moran profile →
A comprehensive meteorological modeling system?RAMS

1992 1.3k citations Michael D. Moran et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael D. Moran Canada	32	3.5k	3.0k	1.7k	1.0k	593	103	5.9k
Chris E. Johnson United States	50	2.7k 0.8×	2.7k 0.9×	703 0.4×	640 0.6×	1.3k 2.3×	160	7.6k
José D. Fuentes United States	46	3.8k 1.1×	4.0k 1.3×	916 0.5×	731 0.7×	1.3k 2.2×	161	6.6k
Mikhail Sofiev Finland	42	2.9k 0.8×	2.0k 0.7×	2.2k 1.3×	1.1k 1.1×	265 0.4×	157	5.8k
P. I. Williams United Kingdom	42	5.1k 1.5×	3.5k 1.2×	3.3k 1.9×	909 0.9×	324 0.5×	114	6.4k
Jørgen Brandt Denmark	48	1.9k 0.5×	1.3k 0.4×	3.9k 2.2×	1.4k 1.3×	265 0.4×	259	6.6k
Wolfgang Knorr Germany	39	3.0k 0.9×	5.1k 1.7×	452 0.3×	573 0.6×	1.6k 2.6×	87	7.2k
Kenneth E. Kunkel United States	53	5.6k 1.6×	7.3k 2.5×	821 0.5×	968 0.9×	776 1.3×	185	9.9k
Lahouari Bounoua United States	30	2.1k 0.6×	5.1k 1.7×	1.3k 0.8×	2.7k 2.6×	1.6k 2.7×	78	7.2k
Jason Beringer Australia	54	2.0k 0.6×	6.4k 2.2×	1.1k 0.6×	2.6k 2.5×	2.8k 4.7×	176	9.5k
Richard A. Goldberg United States	32	1.3k 0.4×	1.7k 0.6×	853 0.5×	581 0.6×	368 0.6×	71	4.8k

Countries citing papers authored by Michael D. Moran

Since Specialization

Citations

This map shows the geographic impact of Michael D. Moran'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. Moran 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. Moran more than expected).

Fields of papers citing papers by Michael D. Moran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dennison, Mark, B.J. Wagg, Michael D. Moran, et al.. (2023). The Liverpool materials discovery server: a suite of computational tools for the collaborative discovery of materials. Digital Discovery. 2(5). 1601–1611. 1 indexed citations

Jones, David B., Cécile Massault, Michael D. Moran, et al.. (2023). The skin structure in multiple color variants of barramundi (Lates calcarifer): A histological, immunohistochemical and ultrastructural overview. Aquaculture. 576. 739859–739859. 6 indexed citations

Griffin, Debora, C. A. McLinden, Jacinthe Racine, et al.. (2020). Assessing the impact of Corona-virus-19 on nitrogen dioxide levels over southern Ontario, Canada. 8 indexed citations

Whaley, Cynthia, Elisabeth Galarneau, Paul A. Makar, Michael D. Moran, & Junhua Zhang. (2020). How much does traffic contribute to benzene and polycyclic aromatic hydrocarbon air pollution? Results from a high-resolution North American air quality model centred on Toronto, Canada. Atmospheric chemistry and physics. 20(5). 2911–2925. 13 indexed citations

Chen, Jack, Kerry Anderson, Radenko Pavlovic, et al.. (2019). The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03. Geoscientific model development. 12(7). 3283–3310. 31 indexed citations

Hakami, Amir, Paul A. Makar, Ayodeji Akingunola, et al.. (2019). An evaluation of the efficacy of very high resolution air-quality modelling over the Athabasca oil sands region, Alberta, Canada. Atmospheric chemistry and physics. 19(7). 4393–4417. 15 indexed citations

Whaley, Cynthia, Elisabeth Galarneau, Paul A. Makar, et al.. (2018). GEM-MACH-PAH (rev2488): a new high-resolutionchemical transport model for North American PAHsand benzene. Biogeosciences (European Geosciences Union). 1 indexed citations

Fioletov, Vitali, C. A. McLinden, Shailesh Kumar Kharol, et al.. (2017). Multi-source SO ₂ emission retrievals and consistency of satellite and surface measurements with reported emissions. Atmospheric chemistry and physics. 17(20). 12597–12616. 50 indexed citations

Makar, Paul A., Ralf M. Staebler, Ayodeji Akingunola, et al.. (2016). Forest Canopy Processes in a Regional Chemical Transport Model. EGU General Assembly Conference Abstracts.

10.

Wen, Deyong, Leiming Zhang, John C. Lin, Robert Vet, & Michael D. Moran. (2014). An evaluation of ambient ammonia concentrations over southern Ontario simulated with different dry deposition schemes within STILT-Chem v0.8. Geoscientific model development. 7(3). 1037–1050. 11 indexed citations

11.

Wang, Xihong, Leiming Zhang, & Michael D. Moran. (2014). Development of a new semi-empirical parameterization for below-cloud scavenging of size-resolved aerosol particles by both rain and snow. Geoscientific model development. 7(3). 799–819. 59 indexed citations

12.

Wen, Deyong, John C. Lin, Leiming Zhang, Robert Vet, & Michael D. Moran. (2013). Modeling atmospheric ammonia and ammonium using a stochastic Lagrangian air quality model (STILT-Chem v0.7). Geoscientific model development. 6(2). 327–344. 10 indexed citations

13.

Pavlovic, Radenko, et al.. (2013). Development of On-line Wildfire Emissions for the Operational Canadian Air Quality Forecast System. AGU Fall Meeting Abstracts. 2013.

14.

Stroud, Craig, Paul A. Makar, Michael D. Moran, et al.. (2011). Impact of model grid spacing on regional- and urban- scale air quality predictions of organic aerosol. Atmospheric chemistry and physics. 11(7). 3107–3118. 49 indexed citations

15.

Wang, Xihong, Leiming Zhang, & Michael D. Moran. (2010). Uncertainty assessment of current size-resolved parameterizations for below-cloud particle scavenging by rain. Atmospheric chemistry and physics. 10(12). 5685–5705. 124 indexed citations

16.

Craig, Lorraine, Jeffrey R. Brook, Q. Chiotti, et al.. (2008). Air Pollution and Public Health: A Guidance Document for Risk Managers. Journal of Toxicology and Environmental Health. 71(9-10). 588–698. 108 indexed citations

17.

Zhang, Leiming, Robert Vet, A. Wiebe, et al.. (2008). Characterization of the size-segregated water-soluble inorganic ions at eight Canadian rural sites. Atmospheric chemistry and physics. 8(23). 7133–7151. 109 indexed citations

18.

Venkatesh, S., Wei Gong, Paul A. Makar, et al.. (2000). Regional Air Quality Modelling in Canada — Applications for Policy and Real-Time Prediction. Natural Hazards. 21(2). 101–129. 1 indexed citations

19.

Moran, Michael D.. (1991). Numerical modelling of mesoscale atmospheric dispersion. Digital Collections of Colorado (Colorado State University). 4 indexed citations

20.

Segar, Douglas S., et al.. (1991). End-systolic regional wall stress-length and stress-shortening relations in an experimental model of normal, ischemic and reperfused myocardium. Journal of the American College of Cardiology. 17(7). 1651–1660. 20 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.

Explore authors with similar magnitude of impact