Young‐Lok Cha
- Biomedical Engineering top 10%
- Molecular Biology
- Plant Science
- Agronomy and Crop Science top 10%
- Electronic, Optical and Magnetic Materials
- Co-authors
- Youn-Ho MoonYong‐Su JinYe‐Gi LeeJin‐Ho SeoKwang Chul RohYun Suk HuhHyun‐Woo KangBumjun Park
- Topics
- Biofuel production and bioconversion (37 papers)Bioenergy crop production and management (18 papers)Microbial Metabolic Engineering and Bioproduction (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioresource TechnologyJournal of Agricultural and Food Chemistry
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Young‐Lok Cha
48 papers receiving 575 citations
Peers
Comparison fields: 5 of 66
- Biomedical Engineering 399
- Molecular Biology 237
- Plant Science 96
- Agronomy and Crop Science 89
- Electronic, Optical and Magnetic Materials 73
Countries citing papers authored by Young‐Lok Cha
This map shows the geographic impact of Young‐Lok Cha'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 Young‐Lok Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Lok Cha more than expected).
Fields of papers citing papers by Young‐Lok Cha
This network shows the impact of papers produced by Young‐Lok Cha. 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 Young‐Lok Cha. The network helps show where Young‐Lok Cha may publish in the future.
Co-authorship network of co-authors of Young‐Lok Cha
This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Lok Cha. A scholar is included among the top collaborators of Young‐Lok Cha 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 Young‐Lok Cha. Young‐Lok Cha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 59 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 65 | |
| 14 | 20 | |
| 15 | 2 | |
| 16 | 32 | |
| 17 | Study on the Pretreatment of Rice Hull to Enhance Enzymatic Saccharification Efficiency | 1 |
| 18 | 10 | |
| 19 | The Effect of Extrusion Treatment on Aqueous Ammonia Soaking Method in Miscanthus Biomass Pretreatment | 1 |
| 20 | Ultrasonic Measurements and its Evaluation for the Monitoring of Saccharomyces cerevisiae Cultivation | 6 |
About Young‐Lok Cha
Young‐Lok Cha is a scholar working on Agronomy and Crop Science, Biomedical Engineering and Biotechnology, having authored 58 papers that have together received 610 indexed citations. Recurring topics across this work include Biofuel production and bioconversion (37 papers), Bioenergy crop production and management (18 papers) and Microbial Metabolic Engineering and Bioproduction (18 papers). The work is most often cited by research in Biomedical Engineering (399 citations), Agronomy and Crop Science (89 citations) and Biotechnology (43 citations). Young‐Lok Cha has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Youn-Ho Moon, Yong‐Su Jin, Ye‐Gi Lee, Jin‐Ho Seo, Kwang Chul Roh, Yun Suk Huh, Hyun‐Woo Kang, Bumjun Park, Gi‐Wook Choi and Minhee Han. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Journal of Agricultural and Food Chemistry.
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.