Yeongkwon Son

1.1k citations
30 papers · 820 · h-index 15

Impact in

Papers in

Yeongkwon Son

25 papers receiving 798 citations

Peers

Yeongkwon Son
Comparison fields: 5 of 120
  • Health, Toxicology and Mutagenesis 459
  • Environmental Chemistry 213
  • Atmospheric Science 171
  • Physiology 239
  • Environmental Engineering 122
Replace Jared A. Fisher with:
Jared A. Fisher United States
Xu Han China
Braulio Jiménez‐Vélez Puerto Rico
Yuhan Zhou China
Lloyd R. Wilson United States
Karelyn Davis Canada
Mandy Kiranoglu Germany
Catia Balducci Italy
Kirsten T. Eriksen Denmark
Eva Govarts Belgium
Yeongkwon Son relative to Jared A. Fisher United States Jared A. Fisher's profile →
Citations per field
00.5×4.3×
Jared A. Fisher · 1×
Citations per year

Countries citing papers authored by Yeongkwon Son

Since Specialization
Citations

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

Fields of papers citing papers by Yeongkwon Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeongkwon Son. 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 Yeongkwon Son. The network helps show where Yeongkwon Son may publish in the future.

Co-authors

The 25 scholars most cited alongside Yeongkwon Son, 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 Yeongkwon Son Line = papers co-authored together Yeongkwon Son links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020209
2 201880
3 202070
4 201967
5 202058
6 201855
7 201937
8 201536
9 201834
10 202033
11 202021
12 201019
13 201616
14 201215
15 202114
16 201013
17 20109
18 20157
19 20127
20 20175

About Yeongkwon Son

Yeongkwon Son is a scholar working on Health, Toxicology and Mutagenesis, Physiology, Industrial and Manufacturing Engineering, Water Science and Technology and Global and Planetary Change, having authored 30 papers that have together received 820 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (11 papers), Smoking Behavior and Cessation (9 papers), Indoor Air Quality and Microbial Exposure (6 papers), Wastewater Treatment and Reuse (5 papers), Constructed Wetlands for Wastewater Treatment (4 papers), Hydrology and Watershed Management Studies (3 papers), Fire effects on ecosystems (3 papers) and Water Quality and Pollution Assessment (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (459 citations), Environmental Chemistry (213 citations), Atmospheric Science (171 citations), Physiology (239 citations) and Environmental Engineering (122 citations). Yeongkwon Son has collaborated with scholars based in United States, South Korea and Mexico. Frequent co-authors include Xuelian Bai, Qingyu Meng, Andrey Khlystov, Vera Samburova, Stephan Schwander, Cristine D. Delnevo, Chiranjivi Bhattarai, Olivia A Wackowski, Gediminas Mainelis and Vladimir Mishin. Their work appears in journals such as Paddy and Water Environment, International Journal of Environmental Research and Public Health, Chemical Research in Toxicology, Frontiers in Chemistry 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.

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