Sunmi Kim

7.5k citations
135 papers · 5.8k · h-index 41

Impact in

Papers in

    • Effects and risks of endocrine disrupting chemicals 47
    • Toxic Organic Pollutants Impact 32
    • Air Quality and Health Impacts 14
    • Environmental Toxicology and Ecotoxicology 7
    • Heavy Metal Exposure and Toxicity 6
    • Per- and polyfluoroalkyl substances research 13

Sunmi Kim

130 papers receiving 5.7k citations

Peers

Sunmi Kim
Comparison fields: 5 of 147
  • Health, Toxicology and Mutagenesis 2.6k
  • Environmental Chemistry 839
  • Pollution 699
  • Plant Science 1.3k
  • Cancer Research 299
Replace Ying Tian with:
Ying Tian China
Emanuela Testai Italy
Nicolas Van Larebeke Belgium
Zhijun Zhou China
Michael J. DeVito United States
Patricia Ostrosky‐Wegman Mexico
Ulla Hass Denmark
Mariano E. Cebrián Mexico
Ling Song China
Daniel Zalko France
Sunmi Kim relative to Ying Tian China Ying Tian's profile →
Citations per field
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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 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004430
2 2010314
3 2005307
4 2010272
5 2011227
6 2017172
7 2013153
8 2010144
9 2012132
10 2012123
11 2017114
12 2008102
13 2006102
14 2004101
15 201697
16 201794
17 202084
18 201382
19 202181
20 201477

About Sunmi Kim

Sunmi Kim is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry, Cancer Research, Pollution and Immunology, having authored 135 papers that have together received 5.8k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (47 papers), Toxic Organic Pollutants Impact (32 papers), Air Quality and Health Impacts (14 papers), Per- and polyfluoroalkyl substances research (13 papers), Environmental Toxicology and Ecotoxicology (7 papers), Plant Molecular Biology Research (7 papers), Carcinogens and Genotoxicity Assessment (6 papers) and Heavy Metal Exposure and Toxicity (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.6k citations), Environmental Chemistry (839 citations), Pollution (699 citations), Plant Science (1.3k citations) and Cancer Research (299 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, Hyo‐Bang Moon, Ji Hye Park, Soo Young Kim, Kyunghee Ji, Jung‐youn Kang, Gyuyeon Choi and Sooran Choi. Their work appears in journals such as The Science of The Total Environment, Environmental Research, Environment International, Chemosphere and Toxics.

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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