Pai‐Yei Whung
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols 5
- Cryospheric studies and observations 3
- Geology and Paleoclimatology Research 2
- Atmospheric Ozone and Climate 2
-
- Air Quality and Health Impacts 3
- Climate Change and Health Impacts 2
- Modeling and Simulation top 10%
- Global and Planetary Change top 10%
- Oceanography top 10%
-
- Mosquito-borne diseases and control 3
-
- Viral Infections and Vectors 3
- Co-authors
- E. S. SaltzmanPaul A. MayewskiElizabeth C. PasteurDavid PeelRobert MulvaneyA. N. PilantMohamed F. SallamJ. Trtanj
- Journals
- Science (1 paper)Journal of Geophysical Research Atmospheres (3 papers)The Science of The Total Environment (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Pai‐Yei Whung
18 papers receiving 674 citations
Peers
Comparison fields: 5 of 105
- Atmospheric Science 309
- Health, Toxicology and Mutagenesis 168
- Modeling and Simulation 36
- Global and Planetary Change 138
- Oceanography 58
Countries citing papers authored by Pai‐Yei Whung
This map shows the geographic impact of Pai‐Yei Whung'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 Pai‐Yei Whung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pai‐Yei Whung more than expected).
Fields of papers citing papers by Pai‐Yei Whung
This network shows the impact of papers produced by Pai‐Yei Whung. 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 Pai‐Yei Whung. The network helps show where Pai‐Yei Whung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pai‐Yei Whung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 34 | |
| 2 | 2019 | 26 | |
| 3 | 2019 | 37 | |
| 4 | 2019 | 17 | |
| 5 | 2018 | 25 | |
| 6 | 2017 | 63 | |
| 7 | Reducing climate-sensitive disease risks | 2014 | 5 |
| 8 | 2010 | 192 | |
| 9 | 2010 | 17 | |
| 10 | Deriving societal and economic benefits from meteorological and hydrological services | 2007 | 6 |
| 11 | Intercontinental Transport of Air Pollution | 2001 | 4 |
| 12 | 1997 | 31 | |
| 13 | 1997 | 13 | |
| 14 | 1996 | 97 | |
| 15 | 1994 | 44 | |
| 16 | 1992 | 80 | |
| 17 | 1992 | 42 | |
| 18 | a Study of Methanesulfonic Acid in Ice Cores | 1991 | 4 |
About Pai‐Yei Whung
Pai‐Yei Whung is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Modeling and Simulation, having authored 18 papers that have together received 737 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (5 papers), Air Quality and Health Impacts (3 papers), Mosquito-borne diseases and control (3 papers), Cryospheric studies and observations (3 papers), Viral Infections and Vectors (3 papers), Geology and Paleoclimatology Research (2 papers), Climate Change and Health Impacts (2 papers) and Atmospheric Ozone and Climate (2 papers). The work is most often cited by research in Atmospheric Science (309 citations), Health, Toxicology and Mutagenesis (168 citations) and Modeling and Simulation (36 citations). Pai‐Yei Whung has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include E. S. Saltzman, Paul A. Mayewski, Elizabeth C. Pasteur, David Peel, Robert Mulvaney, A. N. Pilant, Mohamed F. Sallam, J. Trtanj, Jeremy Hess and Joel D. Scheraga. Their work appears in journals such as Science, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.
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.