Un‐Sang Yeo
About
In The Last Decade
Un‐Sang Yeo
49 papers receiving 396 citations
Peers
Comparison fields: 5 of 49
- Plant Science 413
- Ecology, Evolution, Behavior and Systematics 92
- Genetics 90
- Cell Biology 76
- Molecular Biology 71
Countries citing papers authored by Un‐Sang Yeo
This map shows the geographic impact of Un‐Sang Yeo'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 Un‐Sang Yeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Un‐Sang Yeo more than expected).
Fields of papers citing papers by Un‐Sang Yeo
This network shows the impact of papers produced by Un‐Sang Yeo. 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 Un‐Sang Yeo. The network helps show where Un‐Sang Yeo may publish in the future.
Co-authorship network of co-authors of Un‐Sang Yeo
This figure shows the co-authorship network connecting the top 25 collaborators of Un‐Sang Yeo. A scholar is included among the top collaborators of Un‐Sang Yeo 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 Un‐Sang Yeo. Un‐Sang Yeo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Analysis of molecular variance and population structure of sesame (Sesamum indicum L.) genotypes using SSR markers | 1 |
| 2 | Analysis of eating quality in recombinant inbred lines and selection of elite line with low glutelin content in rice. | 2 |
| 3 | QTLs analysis of agronomic traits based on cultivation of low and high altitude locations in rice (Oryza sativa L.). | 1 |
| 4 | Identification of a Major QTL, qSTV11SG, Associated with Resistance to Rice Stripe Virus Disease Originated from Shingwangbyeo in Rice (Oryza Sativa L.) | 2 |
| 5 | Varietal difference of eating quality after storage in room temperature. | 1 |
| 6 | A new high yielding rice variety with multi-disease resistance, 'Keunseom'. | 1 |
| 7 | 7 | |
| 8 | A new rice variety with low amylose, 'Manmibyeo'. | 1 |
| 9 | Agronomic and chemical properties of a new black waxy giant embryo mutant, Milyang 263, in rice (Oryza sativa L.). | 2 |
| 10 | Studies on Seed Germination Characteristics of Rice Cultivar ‘Danmi’ and Its Optimum Seeding Rates for Seedling Raising in Machine Transplanting | 1 |
| 11 | A new early maturing blackish purple pigmented glutinous rice variety, 'Josaengheugchal'. | 1 |
| 12 | 68 | |
| 13 | A new early maturing rice cultivar "Junamjosaeng" with multiple disease resistance and high grain quality traits. | 1 |
| 14 | Growth, Rice Yield and Edible Quality of Rice under Naturally Reseeded Chinese Milk Vetch Cropping System | 4 |
| 15 | A New High Amylose Rice Variety “Goamibyeo” | 14 |
| 16 | Yield and Grain Quality of Early Maturing Rice Cultivars as Affected by Early Transplanting in Yeongnam Plain Area | 12 |
| 17 | Identification of DNA marker for brown planthopper resistance gene Bph1 in rice (Oryza sativa L.). | 1 |
| 18 | Mass Screening Method for Rice Virus Resistance Using Screen House | 4 |
| 19 | Algebraic Analysis for Partitioning Root and Stem Lodging in Rice Plant | 5 |
| 20 | QTL analysis for ripening traits of BHP resistant backcross inbred lines in rice. | 2 |
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.