Ki-Do Eum

837 citations
22 papers · 652 · h-index 14

Impact in

    • Air Quality and Health Impacts
    • Climate Change and Health Impacts
    • Heavy Metal Exposure and Toxicity
    • Toxic Organic Pollutants Impact
  • Pollution top 10%
    • Energy and Environment Impacts

Papers in

Ki-Do Eum

21 papers receiving 631 citations

Peers

Ki-Do Eum
Comparison fields: 5 of 97
  • Health, Toxicology and Mutagenesis 459
  • Pollution 85
  • Environmental Engineering 101
  • Nutrition and Dietetics 47
  • General Health Professions 63
Replace Suhan Wang with:
Suhan Wang China
Bo-Eun Lee South Korea
Xiji Huang China
Choong-Hee Park South Korea
Karelyn Davis Canada
Lisa Vinikoor-Imler United States
Ondine von Ehrenstein United States
Ellen Kirrane United States
Martin Case United States
Consuelo Escamilla-Núñez Mexico
Ki-Do Eum relative to Suhan Wang China Suhan Wang's profile →
Citations per field
00.5×1.5×2.3×
Suhan Wang · 1×
Citations per year

Countries citing papers authored by Ki-Do Eum

Since Specialization
Citations

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

Fields of papers citing papers by Ki-Do Eum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki-Do Eum. 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 Ki-Do Eum. The network helps show where Ki-Do Eum may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 202088
3 201977
4 202173
5 200657
6 201136
7 200734
8 202131
9 201430
10 201427
11 202126
12 201225
13 201321
14 200913
15 20217
16 20184
17 20223
18 20241
19 20241
20 20251

About Ki-Do Eum

Ki-Do Eum is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions, Neurology, Physiology and Pollution, having authored 22 papers that have together received 652 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (9 papers), Climate Change and Health Impacts (6 papers), Global Health Care Issues (4 papers), Heavy Metal Exposure and Toxicity (4 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Energy and Environment Impacts (2 papers), Alzheimer's disease research and treatments (2 papers) and Air Quality Monitoring and Forecasting (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (459 citations), Pollution (85 citations), Environmental Engineering (101 citations), Nutrition and Dietetics (47 citations) and General Health Professions (63 citations). Ki-Do Eum has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Helen Suh, Justin Manjourides, Fatemeh Kazemiparkouhi, Bingyu Wang, Virgil Pavlu, Howard Hu, Marc G. Weisskopf, Trenton Honda, Vivian C. Pun and Cheng Li. Their work appears in journals such as Environmental Health Perspectives, Environment International, International Archives of Occupational and Environmental Health, Environmental Research and Cancer Epidemiology Biomarkers & Prevention.

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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