Jun-Yeong Lee
Impact in
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Food Science top 5%
- Probiotics and Fermented Foods
Papers in
-
- Gut microbiota and health 5
- Genomics and Chromatin Dynamics 4
- Genomics and Phylogenetic Studies 4
-
- Probiotics and Fermented Foods 7
- Co-authors
- Yun‐Jaie Choi (9 shared papers)Eun Bae Kim (8 shared papers)Geongoo Han (7 shared papers)Sang‐Kee Kang (9 shared papers)Gwi-Deuk Jin (6 shared papers)Jongbin Park (4 shared papers)Chong‐Su Cho (5 shared papers)B. J. Chae (4 shared papers)
- Journals
- Scientific Reports (4 papers)PLoS ONE (3 papers)The Science of The Total Environment (2 papers)Ecotoxicology and Environmental Safety (2 papers)Current Microbiology (1 paper)
- Partner nations
- South KoreaPuerto RicoUnited States
In The Last Decade
Jun-Yeong Lee
41 papers receiving 722 citations
Peers
Comparison fields: 5 of 102
- Animal Science and Zoology 142
- Food Science 152
- Molecular Biology 391
- Infectious Diseases 87
- Small Animals 35
Countries citing papers authored by Jun-Yeong Lee
This map shows the geographic impact of Jun-Yeong Lee'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 Jun-Yeong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Yeong Lee more than expected).
Fields of papers citing papers by Jun-Yeong Lee
This network shows the impact of papers produced by Jun-Yeong Lee. 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 Jun-Yeong Lee. The network helps show where Jun-Yeong Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Yeong Lee, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 117 | |
| 2 | 2018 | 93 | |
| 3 | 2016 | 92 | |
| 4 | 2017 | 79 | |
| 5 | 2018 | 36 | |
| 6 | 2017 | 33 | |
| 7 | 2023 | 33 | |
| 8 | 2017 | 28 | |
| 9 | 2015 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2023 | 15 | |
| 12 | 2015 | 14 | |
| 13 | 2024 | 13 | |
| 14 | 2016 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2023 | 9 |
About Jun-Yeong Lee
Jun-Yeong Lee is a scholar working on Molecular Biology, Food Science, Surgery, Industrial and Manufacturing Engineering and Ecology, Evolution, Behavior and Systematics, having authored 45 papers that have together received 766 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (7 papers), Gut microbiota and health (5 papers), Genomics and Chromatin Dynamics (4 papers), Genomics and Phylogenetic Studies (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Phosphorus and nutrient management (3 papers), Agriculture, Soil, Plant Science (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Animal Science and Zoology (142 citations), Food Science (152 citations), Molecular Biology (391 citations), Infectious Diseases (87 citations) and Small Animals (35 citations). Jun-Yeong Lee has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Yun‐Jaie Choi, Eun Bae Kim, Geongoo Han, Sang‐Kee Kang, Gwi-Deuk Jin, Jongbin Park, Chong‐Su Cho, B. J. Chae, Yo Han Choi and Tae‐Eun Park. Their work appears in journals such as Scientific Reports, PLoS ONE, The Science of The Total Environment, Ecotoxicology and Environmental Safety and Current Microbiology.
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.