Yeongkwon Son

1.1k citations
31 papers · 860 · h-index 15

Impact in

Papers in

Yeongkwon Son

27 papers receiving 840 citations

Peers

Yeongkwon Son
Comparison fields: 5 of 118
  • Health, Toxicology and Mutagenesis 441
  • Environmental Chemistry 231
  • Physiology 235
  • Atmospheric Science 174
  • Environmental Engineering 120
Replace Håkan Westberg with:
Håkan Westberg Sweden
Catia Balducci Italy
Eva Govarts Belgium
Mandy Kiranoglu Germany
Braulio Jiménez‐Vélez Puerto Rico
Lloyd R. Wilson United States
Mark Higuchi United States
Hyeong‐Moo Shin United States
Yuhan Zhou China
Yanxin Yu China
Yeongkwon Son relative to Håkan Westberg Sweden Håkan Westberg's profile →
Citations per field
00.5×10×13.8×
Håkan Westberg · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020229
2 201881
3 202072
4 201969
5 202061
6 201856
7 201938
8 201537
9 201835
10 202034
11 202021
12 201019
13 202117
14 201616
15 201215
16 201013
17 20109
18 20157
19 20127
20 20176

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 31 papers that have together received 860 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (9 papers), Smoking Behavior and Cessation (8 papers), Indoor Air Quality and Microbial Exposure (6 papers), Wastewater Treatment and Reuse (5 papers), Constructed Wetlands for Wastewater Treatment (4 papers), Fire effects on ecosystems (3 papers), Hydrology and Watershed Management Studies (3 papers) and Water Quality and Pollution Assessment (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (441 citations), Environmental Chemistry (231 citations), Physiology (235 citations), Atmospheric Science (174 citations) and Environmental Engineering (120 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 Jeffrey D. Laskin. Their work appears in journals such as Paddy and Water Environment, International Journal of Environmental Research and Public Health, Chemical Research in Toxicology, The Science of The Total Environment and Frontiers in Chemistry.

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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