Mikyoung Jun
- Environmental Engineering top 5%
- Soil Geostatistics and Mapping 11
- Global and Planetary Change top 5%
- Climate variability and models 10
- Atmospheric and Environmental Gas Dynamics 7
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations 9
- Biotechnology top 5%
- Statistics and Probability top 5%
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- Economic and Environmental Valuation 4
- Spatial and Panel Data Analysis 4
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- Indoor Air Quality and Microbial Exposure 3
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- Food Safety and Hygiene 3
- Co-authors
- Michael L. SteinReto KnuttiDouglas NychkaYu DingAhmed Aziz EzzatMarc G. GentonJuan AncisoKendra K. Nightingale
- Journals
- The Annals of Applied Statistics (4 papers)Applied and Environmental Microbiology (3 papers)Spatial Statistics (3 papers)
- Partner nations
- United StatesSaudi ArabiaSwitzerland
In The Last Decade
Mikyoung Jun
38 papers receiving 962 citations
Peers
Comparison fields: 5 of 104
- Environmental Engineering 357
- Global and Planetary Change 340
- Atmospheric Science 239
- Biotechnology 104
- Statistics and Probability 59
Countries citing papers authored by Mikyoung Jun
This map shows the geographic impact of Mikyoung Jun'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 Mikyoung Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikyoung Jun more than expected).
Fields of papers citing papers by Mikyoung Jun
This network shows the impact of papers produced by Mikyoung Jun. 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 Mikyoung Jun. The network helps show where Mikyoung Jun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mikyoung Jun, 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 | 2024 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 11 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 35 | |
| 7 | 2019 | 5 | |
| 8 | 2019 | 44 | |
| 9 | 2019 | 21 | |
| 10 | 2019 | 6 | |
| 11 | 2018 | 70 | |
| 12 | 2017 | 37 | |
| 13 | 2017 | 4 | |
| 14 | 2015 | 3 | |
| 15 | 2015 | 5 | |
| 16 | 2014 | 16 | |
| 17 | 2013 | 76 | |
| 18 | 2011 | 21 | |
| 19 | 2008 | 99 | |
| 20 | 2007 | 79 |
About Mikyoung Jun
Mikyoung Jun is a scholar working on Environmental Engineering, Global and Planetary Change, Atmospheric Science, Health, Toxicology and Mutagenesis and Applied Mathematics, having authored 39 papers that have together received 990 indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (11 papers), Climate variability and models (10 papers), Meteorological Phenomena and Simulations (9 papers), Atmospheric and Environmental Gas Dynamics (7 papers), Economic and Environmental Valuation (4 papers), Spatial and Panel Data Analysis (4 papers), Indoor Air Quality and Microbial Exposure (3 papers) and Food Safety and Hygiene (3 papers). The work is most often cited by research in Environmental Engineering (357 citations), Global and Planetary Change (340 citations), Atmospheric Science (239 citations), Biotechnology (104 citations) and Statistics and Probability (59 citations). Mikyoung Jun has collaborated with scholars based in United States, Saudi Arabia and Switzerland. Frequent co-authors include Michael L. Stein, Reto Knutti, Douglas Nychka, Yu Ding, Ahmed Aziz Ezzat, Marc G. Genton, Juan Anciso, Kendra K. Nightingale, Renata Ivanek and Sangshin Park. Their work appears in journals such as The Annals of Applied Statistics, Applied and Environmental Microbiology, Spatial Statistics, Tellus A Dynamic Meteorology and Oceanography and Monthly Weather Review.
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.