Hyung‐Lae Kim
- Molecular Biology top 5%
- Physiology top 5%
- Genetics top 5%
- Epidemiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Seungho RyuYoosoo ChangHan‐Na KimHocheol ShinHemin ChinYeojun YunHee‐Sup ShinYoon Shin Cho
- Topics
- Gut microbiota and health (28 papers)Genetic Associations and Epidemiology (12 papers)Liver Disease Diagnosis and Treatment (9 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Investigation
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Hyung‐Lae Kim
107 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 1.7k
- Physiology 552
- Genetics 504
- Epidemiology 404
- Cellular and Molecular Neuroscience 384
Countries citing papers authored by Hyung‐Lae Kim
This map shows the geographic impact of Hyung‐Lae 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 Hyung‐Lae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyung‐Lae Kim more than expected).
Fields of papers citing papers by Hyung‐Lae Kim
This network shows the impact of papers produced by Hyung‐Lae 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 Hyung‐Lae Kim. The network helps show where Hyung‐Lae Kim may publish in the future.
Co-authorship network of co-authors of Hyung‐Lae Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyung‐Lae Kim. A scholar is included among the top collaborators of Hyung‐Lae Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hyung‐Lae Kim. Hyung‐Lae Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 3 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 70 | |
| 7 | 8 | |
| 8 | 30 | |
| 9 | 68 | |
| 10 | 60 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 15 | |
| 15 | 10 | |
| 16 | 29 | |
| 17 | FCAnalyzer: A Functional Clustering Analysis Tool for Predicted Transcription Regulatory Elements and Gene Ontology Terms | 0 |
| 18 | 50 | |
| 19 | 64 | |
| 20 | Purification of α-Fetoprotein from Human Cord Serum | 1 |
About Hyung‐Lae Kim
Hyung‐Lae Kim is a scholar working on Biological Psychiatry, Molecular Biology and Genetics, having authored 109 papers that have together received 3.2k indexed citations. Recurring topics across this work include Gut microbiota and health (28 papers), Genetic Associations and Epidemiology (12 papers) and Liver Disease Diagnosis and Treatment (9 papers). The work is most often cited by research in Biological Psychiatry (105 citations), Molecular Biology (1.7k citations) and Physiology (552 citations). Hyung‐Lae Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Seungho Ryu, Yoosoo Chang, Han‐Na Kim, Hocheol Shin, Hemin Chin, Yeojun Yun, Hee‐Sup Shin, Yoon Shin Cho, Taehoon Lee and Yeon‐Ah Sung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.
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.