Sunmi Kim

7.4k citations
138 papers · 5.6k · h-index 41

Impact in

Papers in

    • Effects and risks of endocrine disrupting chemicals 48
    • Toxic Organic Pollutants Impact 30
    • Air Quality and Health Impacts 14
    • Environmental Toxicology and Ecotoxicology 7
    • Heavy Metal Exposure and Toxicity 7
    • Health, Environment, Cognitive Aging 6

Sunmi Kim

130 papers receiving 5.6k citations

Peers

Sunmi Kim
Comparison fields: 5 of 143
  • Health, Toxicology and Mutagenesis 2.5k
  • Environmental Chemistry 816
  • Pollution 687
  • Plant Science 1.3k
  • Cancer Research 269
Replace Ying Tian with:
Ying Tian China
Nicolas Van Larebeke Belgium
Tanja Schwerdtle Germany
Emanuela Testai Italy
Zhijun Zhou China
Michael J. DeVito United States
Wei Xia China
Patricia Ostrosky‐Wegman Mexico
Ling Song China
Mariano E. Cebrián Mexico
Sunmi Kim relative to Ying Tian China Ying Tian's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Sunmi Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sunmi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004427
2 2010311
3 2005307
4 2010270
5 2011221
6 2017164
7 2013148
8 2010141
9 2012127
10 2012124
11 2017111
12 2004102
13 2006100
14 2008100
15 201695
16 201792
17 202081
18 201378
19 201474
20 202074

About Sunmi Kim

Sunmi Kim is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Environmental Chemistry, Immunology and Pollution, having authored 138 papers that have together received 5.6k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (48 papers), Toxic Organic Pollutants Impact (30 papers), Air Quality and Health Impacts (14 papers), Per- and polyfluoroalkyl substances research (14 papers), Plant Molecular Biology Research (7 papers), Environmental Toxicology and Ecotoxicology (7 papers), Heavy Metal Exposure and Toxicity (7 papers) and Health, Environment, Cognitive Aging (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.5k citations), Environmental Chemistry (816 citations), Pollution (687 citations), Plant Science (1.3k citations) and Cancer Research (269 citations). Sunmi Kim has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Kyungho Choi, Jeongim Park, Sungkyoon Kim, Kyunghee Ji, Ji Hye Park, Soo Young Kim, Gyuyeon Choi, Jung‐youn Kang, Hyo-Bang Moon and Sooran Choi. Their work appears in journals such as The Science of The Total Environment, Environmental Research, Environment International, Chemosphere and Ecotoxicology and Environmental Safety.

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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