Jonathan M. Moch

1.3k total citations
17 papers, 489 citations indexed

About

Jonathan M. Moch is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jonathan M. Moch has authored 17 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jonathan M. Moch's work include Atmospheric chemistry and aerosols (13 papers), Atmospheric Ozone and Climate (9 papers) and Air Quality and Health Impacts (7 papers). Jonathan M. Moch is often cited by papers focused on Atmospheric chemistry and aerosols (13 papers), Atmospheric Ozone and Climate (9 papers) and Air Quality and Health Impacts (7 papers). Jonathan M. Moch collaborates with scholars based in United States, China and Hong Kong. Jonathan M. Moch's co-authors include Loretta J. Mickley, Fangqun Yu, Daniel J. Jacob, Gan Luo, Frank N. Keutsch, Eleni Dovrou, Lu Shen, Aaron van Donkelaar, Danny M. Leung and Amos P. K. Tai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Geophysical Research Letters.

In The Last Decade

Jonathan M. Moch

16 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan M. Moch United States 11 416 259 235 125 30 17 489
Zhenying Xu China 8 376 0.9× 253 1.0× 175 0.7× 132 1.1× 18 0.6× 12 447
H. Bardouki Greece 7 554 1.3× 334 1.3× 269 1.1× 124 1.0× 52 1.7× 8 634
Chanzhen Shi China 8 340 0.8× 251 1.0× 145 0.6× 137 1.1× 47 1.6× 10 479
Zhu‐Yu Zhao China 11 366 0.9× 218 0.8× 171 0.7× 84 0.7× 28 0.9× 17 452
Jacob Slanina Germany 7 533 1.3× 245 0.9× 251 1.1× 167 1.3× 39 1.3× 7 597
Huxiong Cui China 6 249 0.6× 192 0.7× 117 0.5× 119 1.0× 34 1.1× 12 347
C. R. Lonsdale United States 13 533 1.3× 259 1.0× 361 1.5× 100 0.8× 50 1.7× 19 604
T. Brauers Germany 8 694 1.7× 397 1.5× 187 0.8× 222 1.8× 38 1.3× 10 733
Lidan Zhu China 12 477 1.1× 431 1.7× 187 0.8× 239 1.9× 54 1.8× 24 593
Shigekazu Yamamoto Japan 14 469 1.1× 302 1.2× 312 1.3× 104 0.8× 44 1.5× 27 640

Countries citing papers authored by Jonathan M. Moch

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Moch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Moch. 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 Jonathan M. Moch. The network helps show where Jonathan M. Moch may publish in the future.

Co-authorship network of co-authors of Jonathan M. Moch

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

All Works

17 of 17 papers shown
1.
Moch, Jonathan M., Loretta J. Mickley, Sebastian D. Eastham, et al.. (2023). Overlooked Long‐Term Atmospheric Chemical Feedbacks Alter the Impact of Solar Geoengineering: Implications for Tropospheric Oxidative Capacity. SHILAP Revista de lepidopterología. 4(5). 2 indexed citations
2.
Moch, Jonathan M., et al.. (2022). Stratospheric aerosol injection may impact global systems and human health outcomes. Elementa Science of the Anthropocene. 10(1). 14 indexed citations
3.
Dovrou, Eleni, Kelvin H. Bates, Jonathan M. Moch, et al.. (2022). Catalytic role of formaldehyde in particulate matter formation. Proceedings of the National Academy of Sciences. 119(6). 36 indexed citations
4.
Moch, Jonathan M., Loretta J. Mickley, Christoph A. Keller, et al.. (2022). Aerosol‐Radiation Interactions in China in Winter: Competing Effects of Reduced Shortwave Radiation and Cloud‐Snowfall‐Albedo Feedbacks Under Rapidly Changing Emissions. Journal of Geophysical Research Atmospheres. 127(9). e2021JD035442–e2021JD035442. 10 indexed citations
5.
Zhai, Shuting, Xuan Wang, Joseph R. McConnell, et al.. (2021). Anthropogenic Impacts on Tropospheric Reactive Chlorine Since the Preindustrial. Geophysical Research Letters. 48(14). 11 indexed citations
6.
Song, Shaojie, Tao Ma, Yuzhong Zhang, et al.. (2021). Global modeling of heterogeneous hydroxymethanesulfonate chemistry. Atmospheric chemistry and physics. 21(1). 457–481. 24 indexed citations
7.
Shah, Viral, Daniel J. Jacob, Jonathan M. Moch, Xuan Wang, & Shixian Zhai. (2020). Global modeling of cloudwater acidity, rainwater acidity, and acid inputs to ecosystems. 3 indexed citations
8.
Shah, Viral, Daniel J. Jacob, Jonathan M. Moch, Xuan Wang, & Shixian Zhai. (2020). Global modeling of cloud water acidity, precipitation acidity, and acid inputs to ecosystems. Atmospheric chemistry and physics. 20(20). 12223–12245. 35 indexed citations
9.
Moch, Jonathan M., Eleni Dovrou, Loretta J. Mickley, et al.. (2020). Global Importance of Hydroxymethanesulfonate in Ambient Particulate Matter: Implications for Air Quality. Journal of Geophysical Research Atmospheres. 125(18). e2020JD032706–e2020JD032706. 45 indexed citations
11.
Luo, Gan, Fangqun Yu, & Jonathan M. Moch. (2020). Further improvement of wet process treatments in GEOS-Chem v12.6.0: impact on global distributions of aerosols and aerosol precursors. Geoscientific model development. 13(6). 2879–2903. 51 indexed citations
12.
Moch, Jonathan M., Eleni Dovrou, Loretta J. Mickley, et al.. (2018). Contribution of Hydroxymethane Sulfonate to Ambient Particulate Matter: A Potential Explanation for High Particulate Sulfur During Severe Winter Haze in Beijing. Geophysical Research Letters. 45(21). 91 indexed citations
13.
Leung, Danny M., Amos P. K. Tai, Loretta J. Mickley, et al.. (2018). Synoptic meteorological modes of variability for fine particulate matter (PM 2.5 ) air quality in major metropolitan regions of China. Atmospheric chemistry and physics. 18(9). 6733–6748. 101 indexed citations
14.
Moch, Jonathan M., et al.. (2017). Hydroxymethane sulfonate as a possible explanation for observed high levels of particulate sulfur during severe winter haze episodes in Beijing, China.. AGU Fall Meeting Abstracts. 2017.
15.
Leung, Danny M., et al.. (2017). Impacts of 2000-2050 Climate Change on Fine Particulate Matter (PM 2.5 ) Air Quality in China Based on Statistical Projections Using an Ensemble of Global Climate Models. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
16.
Li, Ke, Hong Liao, Jia Zhu, & Jonathan M. Moch. (2016). Implications of RCP emissions on future PM2.5 air quality and direct radiative forcing over China. Journal of Geophysical Research Atmospheres. 121(21). 46 indexed citations
17.
Oh, Youmi, B. T. Stackhouse, Maggie C. Y. Lau, et al.. (2016). A scalable model for methane consumption in arctic mineral soils. Geophysical Research Letters. 43(10). 5143–5150. 16 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

Rankless by CCL
2026