Jeong-Ha Lee
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
Papers in
-
- Animal Virus Infections Studies 2
- Health 2
- Intimate Partner and Family Violence 2
- Co-authors
- Murim Choi (2 shared papers)Min Soo Byun (1 shared paper)Kwang‐Hyun Cho (1 shared paper)Jinsoo Seo (1 shared paper)Haeng Jun Kim (1 shared paper)Inhee Mook‐Jung (1 shared paper)Dahyun Yi (1 shared paper)Dong Young Lee (1 shared paper)
- Journals
- Cognition & Emotion (2 papers)Journal of Veterinary Diagnostic Investigation (2 papers)International Journal of Biological Macromolecules (1 paper)Animals (1 paper)Journal of Veterinary Internal Medicine (1 paper)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Jeong-Ha Lee
24 papers receiving 464 citations
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 38
- Aquatic Science 66
- Biotechnology 28
- Molecular Biology 197
- Neurology 23
Countries citing papers authored by Jeong-Ha Lee
This map shows the geographic impact of Jeong-Ha 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 Jeong-Ha Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong-Ha Lee more than expected).
Fields of papers citing papers by Jeong-Ha Lee
This network shows the impact of papers produced by Jeong-Ha 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 Jeong-Ha Lee. The network helps show where Jeong-Ha Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeong-Ha 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 160 | |
| 2 | 2014 | 94 | |
| 3 | 2022 | 37 | |
| 4 | 2015 | 34 | |
| 5 | 2012 | 25 | |
| 6 | 2013 | 22 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2015 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2024 | 2 |
About Jeong-Ha Lee
Jeong-Ha Lee is a scholar working on Animal Science and Zoology, Health, Biotechnology, Pulmonary and Respiratory Medicine and Information Systems, having authored 29 papers that have together received 475 indexed citations. Recurring topics across this work include Veterinary Oncology Research (3 papers), Intimate Partner and Family Violence (2 papers), Animal Virus Infections Studies (2 papers), Hydrology and Watershed Management Studies (2 papers), Hydrological Forecasting Using AI (2 papers), Diabetes Treatment and Management (2 papers), COVID-19 Clinical Research Studies (1 paper) and Enzyme Production and Characterization (1 paper). The work is most often cited by research in Developmental Neuroscience (38 citations), Aquatic Science (66 citations), Biotechnology (28 citations), Molecular Biology (197 citations) and Neurology (23 citations). Jeong-Ha Lee has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Murim Choi, Min Soo Byun, Kwang‐Hyun Cho, Jinsoo Seo, Haeng Jun Kim, Inhee Mook‐Jung, Dahyun Yi, Dong Young Lee, Jong‐Chan Park and Dongjoon Lee. Their work appears in journals such as Cognition & Emotion, Journal of Veterinary Diagnostic Investigation, International Journal of Biological Macromolecules, Animals and Journal of Veterinary Internal Medicine.
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.