Kathryn J. Mayer
- Atmospheric Science top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Global and Planetary Change top 10%
- Health, Toxicology and Mutagenesis top 10%
- Oceanography top 10%
- Co-authors
- William R. McNamaraKimberly A. PratherJon S. SauerCarolyn L. HartleyGannon P. ConnorChristopher D. CappaChristopher LeeRyan J. DiRisio
- Topics
- Atmospheric chemistry and aerosols (13 papers)Marine and coastal ecosystems (9 papers)Atmospheric aerosols and clouds (5 papers)
- Cited by
- Atmospheric ScienceRenewable Energy, Sustainability and the EnvironmentHealth, Toxicology and Mutagenesis
- Journals
- Proceedings of the National Academy of SciencesAccounts of Chemical ResearchEnvironmental Science & Technology
- Partner nations
- United StatesItalyCanada
In The Last Decade
Kathryn J. Mayer
21 papers receiving 567 citations
Peers
Comparison fields: 5 of 64
- Atmospheric Science 277
- Renewable Energy, Sustainability and the Environment 171
- Global and Planetary Change 145
- Health, Toxicology and Mutagenesis 102
- Oceanography 66
Countries citing papers authored by Kathryn J. Mayer
This map shows the geographic impact of Kathryn J. Mayer'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 Kathryn J. Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn J. Mayer more than expected).
Fields of papers citing papers by Kathryn J. Mayer
This network shows the impact of papers produced by Kathryn J. Mayer. 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 Kathryn J. Mayer. The network helps show where Kathryn J. Mayer may publish in the future.
Co-authorship network of co-authors of Kathryn J. Mayer
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn J. Mayer. A scholar is included among the top collaborators of Kathryn J. Mayer 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 Kathryn J. Mayer. Kathryn J. Mayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 28 | |
| 11 | 7 | |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 20 | |
| 15 | 104 | |
| 16 | 31 | |
| 17 | 52 | |
| 18 | 20 | |
| 19 | 69 | |
| 20 | 49 |
About Kathryn J. Mayer
Kathryn J. Mayer is a scholar working on Oceanography, Atmospheric Science and Process Chemistry and Technology, having authored 22 papers that have together received 579 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (13 papers), Marine and coastal ecosystems (9 papers) and Atmospheric aerosols and clouds (5 papers). The work is most often cited by research in Atmospheric Science (277 citations), Renewable Energy, Sustainability and the Environment (171 citations) and Health, Toxicology and Mutagenesis (102 citations). Kathryn J. Mayer has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include William R. McNamara, Kimberly A. Prather, Jon S. Sauer, Carolyn L. Hartley, Gannon P. Connor, Christopher D. Cappa, Christopher Lee, Ryan J. DiRisio, Vicki H. Grassian and Timothy H. Bertram. Their work appears in journals such as Proceedings of the National Academy of Sciences, Accounts of Chemical Research and Environmental Science & Technology.
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.