Eunmi Kim

68 papers and 1.1k indexed citations i.

About

Eunmi Kim is a scholar working on Toxicology, Food Science and Pathology and Forensic Medicine. According to data from OpenAlex, Eunmi Kim has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Toxicology, 19 papers in Food Science and 18 papers in Pathology and Forensic Medicine. Recurrent topics in Eunmi Kim’s work include Forensic Toxicology and Drug Analysis (38 papers), Food Quality and Safety Studies (17 papers) and Psychedelics and Drug Studies (15 papers). Eunmi Kim is often cited by papers focused on Forensic Toxicology and Drug Analysis (38 papers), Food Quality and Safety Studies (17 papers) and Psychedelics and Drug Studies (15 papers). Eunmi Kim collaborates with scholars based in South Korea, United States and Japan. Eunmi Kim's co-authors include Heesun Chung, Jaesin Lee, Wonkyung Yang, Hyeyoung Choi, Sooyeun Lee, Eunyoung Han, Yonghoon Park, Jihyun Kim, Sangwhan In and Moonhee Jang and has published in prestigious journals such as Journal of Food Science, Analytical and Bioanalytical Chemistry and Rapid Communications in Mass Spectrometry.

In The Last Decade

Co-authorship network of co-authors of Eunmi Kim i

Fields of papers citing papers by Eunmi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eunmi Kim

Since Specialization
Citations

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

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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