Mikyoung Jun

1.5k citations
40 papers · 1.0k · h-index 17

Impact in

Papers in

Mikyoung Jun

38 papers receiving 1.0k citations

Peers

Mikyoung Jun
Comparison fields: 5 of 105
  • Environmental Engineering 369
  • Global and Planetary Change 348
  • Atmospheric Science 250
  • Biotechnology 102
  • Statistics and Probability 60
Replace Matthew J. Heaton with:
Matthew J. Heaton United States
Jeanine M. Davis United States
A. H. El‐Shaarawi Canada
Arash Azari Iran
Anping Liao China
T. Subba Rao India
Cui China
C. S. Jackson United States
Yuzhi Cai United Kingdom
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Mikyoung Jun relative to Matthew J. Heaton United States Matthew J. Heaton's profile →
Citations per field
00.5×8.5×
Matthew J. Heaton · 1×
Citations per year

Countries citing papers authored by Mikyoung Jun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Mikyoung Jun Line = papers co-authored together Mikyoung Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008159
2 2008105
3 200784
4 201382
5 201875
6 201546
7 201946
8 201143
9 201737
10 201136
11 202036
12 200436
13 201435
14 201425
15 201122
16 201921
17 201317
18 201416
19 202115
20 201114

About Mikyoung Jun

Mikyoung Jun is a scholar working on Global and Planetary Change, Environmental Engineering, Atmospheric Science, Health, Toxicology and Mutagenesis and Artificial Intelligence, having authored 40 papers that have together received 1.0k 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), Point processes and geometric inequalities (3 papers) and Food Safety and Hygiene (3 papers). The work is most often cited by research in Environmental Engineering (369 citations), Global and Planetary Change (348 citations), Atmospheric Science (250 citations), Biotechnology (102 citations) and Statistics and Probability (60 citations). Mikyoung Jun has collaborated with scholars based in United States, Saudi Arabia and Switzerland. Frequent co-authors include Michael L. Stein, Douglas Nychka, Reto Knutti, Yu Ding, Ahmed Aziz Ezzat, Marc G. Genton, Sangshin Park, Kendra K. Nightingale, Renata Ivanek and Barbara Szonyi. Their work appears in journals such as The Annals of Applied Statistics, Spatial Statistics, Applied and Environmental Microbiology, 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.

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