Eiseul Kim
Impact in
- Food Science top 2%
- Probiotics and Fermented Foods
- Salmonella and Campylobacter epidemiology
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Identification and Quantification in Food 25
- Genomics and Phylogenetic Studies 23
- Food Science 47
- Probiotics and Fermented Foods 37
- Food Quality and Safety Studies 8
- Salmonella and Campylobacter epidemiology 8
- Co-authors
- Hae‐Yeong Kim (72 shared papers)Seung-Min Yang (48 shared papers)Eun-Ji Cho (4 shared papers)Mi‐Ju Kim (8 shared papers)Si Hong Park (10 shared papers)Shin-Young Lee (5 shared papers)Seung-Min Yang (4 shared papers)Youngjae Cho (4 shared papers)
- Journals
- Foods (10 papers)LWT (7 papers)Food Chemistry (6 papers)Frontiers in Microbiology (6 papers)Food Bioscience (4 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Eiseul Kim
73 papers receiving 796 citations
Peers
Comparison fields: 5 of 86
- Food Science 463
- Clinical Biochemistry 102
- Endocrinology 75
- Biotechnology 90
- Molecular Biology 445
Countries citing papers authored by Eiseul Kim
This map shows the geographic impact of Eiseul 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 Eiseul Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiseul Kim more than expected).
Fields of papers citing papers by Eiseul Kim
This network shows the impact of papers produced by Eiseul 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 Eiseul Kim. The network helps show where Eiseul Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiseul Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 60 | |
| 2 | 2020 | 56 | |
| 3 | 2021 | 37 | |
| 4 | 2016 | 36 | |
| 5 | 2020 | 36 | |
| 6 | 2021 | 29 | |
| 7 | 2022 | 25 | |
| 8 | 2019 | 24 | |
| 9 | 2023 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2023 | 14 | |
| 20 | 2022 | 14 |
About Eiseul Kim
Eiseul Kim is a scholar working on Molecular Biology, Food Science, Ecology, Clinical Biochemistry and Endocrinology, having authored 80 papers that have together received 808 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (37 papers), Identification and Quantification in Food (25 papers), Genomics and Phylogenetic Studies (23 papers), Bacterial Identification and Susceptibility Testing (12 papers), Bacteriophages and microbial interactions (10 papers), Biosensors and Analytical Detection (9 papers), Food Quality and Safety Studies (8 papers) and Salmonella and Campylobacter epidemiology (8 papers). The work is most often cited by research in Food Science (463 citations), Clinical Biochemistry (102 citations), Endocrinology (75 citations), Biotechnology (90 citations) and Molecular Biology (445 citations). Eiseul Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Hae‐Yeong Kim, Seung-Min Yang, Eun-Ji Cho, Mi‐Ju Kim, Si Hong Park, Shin-Young Lee, Seung-Min Yang, Youngjae Cho, Dayoung Kim and Da-Som Kim. Their work appears in journals such as Foods, LWT, Food Chemistry, Frontiers in Microbiology and Food Bioscience.
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.