Suk‐Ha Lee
About
In The Last Decade
Suk‐Ha Lee
158 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Plant Science 4.3k
- Molecular Biology 1.4k
- Cell Biology 1.2k
- Ecology, Evolution, Behavior and Systematics 601
- Genetics 394
Countries citing papers authored by Suk‐Ha Lee
This map shows the geographic impact of Suk‐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 Suk‐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 Suk‐Ha Lee more than expected).
Fields of papers citing papers by Suk‐Ha Lee
This network shows the impact of papers produced by Suk‐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 Suk‐Ha Lee. The network helps show where Suk‐Ha Lee may publish in the future.
Co-authorship network of co-authors of Suk‐Ha Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Suk‐Ha Lee. A scholar is included among the top collaborators of Suk‐Ha Lee 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 Suk‐Ha Lee. Suk‐Ha Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | Genetic background of three commercial oil palm breeding populations in Thailand revealed by SSR markers. | 5 |
| 3 | Marker-Assisted Foreground and Background Selection of Near Isogenic Lines for Bacterial Leaf Pustule Resistant Gene in Soybean | 15 |
| 4 | Identification of QTLs Associated with Resistance to Riptortus clavatus Thunberg (Heteroptera: Alydidae) in Soybean (Glycine max L. Merr.) | 3 |
| 5 | Genotypic Variation in Flowering and Maturing Periods and Their Relations with Plant Yield and Yield Components in Soybean | 5 |
| 6 | Genetic analysis of pod dehiscence in soybean. | 15 |
| 7 | Genetic diversity of soybean pod shape based on elliptic Fourier descriptors. | 4 |
| 8 | Optimization of SNP Genotyping Assay with Fluorescence Polarization Detection | 9 |
| 9 | Identification of DNA Variations Using AFLP and SSR Markers in Soybean Somaclonal Variants | 2 |
| 10 | Genetic Variation in Sprout-related Traits and Microsatellite DNA Loci of Soybean | 3 |
| 11 | Growth, Nitrogen Metabolism, and Nodulation of Hypernodulating Soybean Mutant Affected by Soil Fertility | 4 |
| 12 | Genetic Mapping of Hypernodulation in Soybean Mutant SS2-2 | 1 |
| 13 | Identification of Quantitative Trait Loci Associated with Seed Size and Weight in Soybean | 7 |
| 14 | Eosinophilic Granuloma of Lumbar Spine in Old Patient- 1 Case Report - | 2 |
| 15 | Genotypic Variation in Leaf Water Status of Soybean | 3 |
| 16 | Antioxidant Effects of Serotonin and L-DOPA on Oxidative Damages of Brain Synaptosomes | 5 |
| 17 | Identification of Quantitative Trait Loci Associated with Traits of Soybean for Sprout | 2 |
| 18 | Introduction, Development, and Characterization of Supernodulating Soybean Mutant -Nitrate Inhibition of Nodulation and Nitrogen Fixation in Supernodulating Soybean Mutant- | 3 |
| 19 | Introduction, Development, and Characterization of Supernodulating Soybean Mutant. 1. Mutagenesis of Soybean and Selection of Supernodulating Soybean Mutant | 13 |
| 20 | 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.