Megan D. Willis

3.3k total citations
45 papers, 1.7k citations indexed

About

Megan D. Willis is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Megan D. Willis has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Atmospheric Science, 24 papers in Global and Planetary Change and 14 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Megan D. Willis's work include Atmospheric chemistry and aerosols (35 papers), Atmospheric Ozone and Climate (19 papers) and Air Quality and Health Impacts (14 papers). Megan D. Willis is often cited by papers focused on Atmospheric chemistry and aerosols (35 papers), Atmospheric Ozone and Climate (19 papers) and Air Quality and Health Impacts (14 papers). Megan D. Willis collaborates with scholars based in Canada, United States and Germany. Megan D. Willis's co-authors include Jonathan P. D. Abbatt, W. R. Leaitch, Kevin R. Wilson, Alex K. Y. Lee, Julia Burkart, Grazia Rovelli, Andreas Herber, Alexander Prophet, Rebecca J. Rapf and Michael I. Jacobs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Megan D. Willis

41 papers receiving 1.7k citations

Peers

Megan D. Willis
Véronique Perraud United States
Nønne L. Prisle Finland
David L. Bones United Kingdom
Adam P. Bateman United States
Coty N. Jen United States
Barbara Nozière France
Juha Kangasluoma Finland
Theran P. Riedel United States
Rebecca H. Schwantes United States
Lelia N. Hawkins United States
Véronique Perraud United States
Megan D. Willis
Citations per year, relative to Megan D. Willis Megan D. Willis (= 1×) peers Véronique Perraud

Countries citing papers authored by Megan D. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Megan D. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megan D. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Megan D. Willis. A scholar is included among the top collaborators of Megan D. Willis 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 Megan D. Willis. Megan D. Willis 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.
2.
Willis, Megan D., Delphine Lannuzel, Brent Else, et al.. (2023). Polar oceans and sea ice in a changing climate. Elementa Science of the Anthropocene. 11(1). 13 indexed citations
3.
Köllner, Franziska, Johannes Schneider, Megan D. Willis, et al.. (2021). Chemical composition and source attribution of sub-micrometre aerosol particles in the summertime Arctic lower troposphere. Atmospheric chemistry and physics. 21(8). 6509–6539. 7 indexed citations
4.
Rivellini, Laura-Hélèna, Megan D. Willis, Jonathan P. D. Abbatt, et al.. (2021). Elemental analysis of oxygenated organic coating on black carbon particles using a soot-particle aerosol mass spectrometer. Atmospheric measurement techniques. 14(4). 2799–2812. 5 indexed citations
5.
Leaitch, W. R., John K. Kodros, Megan D. Willis, et al.. (2020). Vertical profiles of light absorption and scattering associated with black carbon particle fractions in the springtime Arctic above 79° N. Atmospheric chemistry and physics. 20(17). 10545–10563. 10 indexed citations
6.
Willis, Megan D., Heiko Bozem, Daniel Kunkel, et al.. (2019). Aircraft-based measurements of High Arctic springtime aerosol show evidence for vertically varying sources, transport and composition. Atmospheric chemistry and physics. 19(1). 57–76. 28 indexed citations
7.
Irish, Victoria E., Sarah Hanna, Megan D. Willis, et al.. (2019). Ice nucleating particles in the marine boundary layer in the Canadian Arctic during summer 2014. Atmospheric chemistry and physics. 19(2). 1027–1039. 57 indexed citations
8.
Lee, Alex K. Y., Max G. Adam, John Liggio, et al.. (2019). A large contribution of anthropogenic organo-nitrates to secondary organic aerosol in the Alberta oil sands. Atmospheric chemistry and physics. 19(19). 12209–12219. 17 indexed citations
9.
Willis, Megan D., W. R. Leaitch, & Jonathan P. D. Abbatt. (2018). Processes Controlling the Composition and Abundance of Arctic Aerosol. Reviews of Geophysics. 56(4). 621–671. 112 indexed citations
10.
Köllner, Franziska, Johannes Schneider, Megan D. Willis, et al.. (2017). Particulate trimethylamine in the summertime Canadian high Arctic lower troposphere. Atmospheric chemistry and physics. 17(22). 13747–13766. 50 indexed citations
11.
Burkart, Julia, Megan D. Willis, Heiko Bozem, et al.. (2017). Summertime observations of elevated levels of ultrafine particles in the high Arctic marine boundary layer. Atmospheric chemistry and physics. 17(8). 5515–5535. 53 indexed citations
12.
Xu, Junwei, Randall V. Martin, Sangeeta Sharma, et al.. (2017). Source attribution of Arctic black carbon constrained by aircraft and surface measurements. Atmospheric chemistry and physics. 17(19). 11971–11989. 56 indexed citations
13.
Willis, Megan D., Julia Burkart, Jennie L. Thomas, et al.. (2016). Growth of nucleation mode particles in the summertime Arctic: a case study. Atmospheric chemistry and physics. 16(12). 7663–7679. 97 indexed citations
14.
Willis, Megan D., Robert M. Healy, Nicole Riemer, et al.. (2016). Quantification of black carbon mixing state from traffic: implications for aerosol optical properties. Atmospheric chemistry and physics. 16(7). 4693–4706. 37 indexed citations
15.
Leaitch, W. R., Alexei Korolev, Amir A. Aliabadi, et al.. (2016). Effects of 20–100 nm particles on liquid clouds in the cleansummertime Arctic. Atmospheric chemistry and physics. 16(17). 11107–11124. 85 indexed citations
16.
17.
Leaitch, W. R., Alexei Korolev, Julia Burkart, et al.. (2016). Effects of 20–100 nanometre particles on liquid clouds in the clean summertime Arctic. 5 indexed citations
18.
Lee, Alex K. Y., Megan D. Willis, Robert M. Healy, T. B. Onasch, & Jonathan P. D. Abbatt. (2015). Mixing state of carbonaceous aerosol in an urban environment: single particle characterization using the soot particle aerosol mass spectrometer (SP-AMS). Atmospheric chemistry and physics. 15(4). 1823–1841. 73 indexed citations
19.
Willis, Megan D., Alex K. Y. Lee, T. B. Onasch, et al.. (2014). Collection efficiency of the soot-particle aerosol mass spectrometer (SP-AMS) for internally mixed particulate black carbon. Atmospheric measurement techniques. 7(12). 4507–4516. 69 indexed citations
20.
Lee, Alex K. Y., Megan D. Willis, Robert M. Healy, T. B. Onasch, & Jonathan P. D. Abbatt. (2014). Single particle characterization using the soot particle aerosol mass spectrometer (SP-AMS). Cork Open Research Archive (University College Cork). 4 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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