Suk‐Man Kim

1.0k total citations
39 papers, 707 citations indexed

About

Suk‐Man Kim is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Suk‐Man Kim has authored 39 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 16 papers in Genetics and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Suk‐Man Kim's work include Rice Cultivation and Yield Improvement (23 papers), GABA and Rice Research (20 papers) and Genetic Mapping and Diversity in Plants and Animals (16 papers). Suk‐Man Kim is often cited by papers focused on Rice Cultivation and Yield Improvement (23 papers), GABA and Rice Research (20 papers) and Genetic Mapping and Diversity in Plants and Animals (16 papers). Suk‐Man Kim collaborates with scholars based in South Korea, Philippines and China. Suk‐Man Kim's co-authors include Russell Reinke, Jung-Pil Suh, Kshirod K. Jena, Jae-Keun Sohn, Qin Yang, Tae-Hwan Noh, Man‐Kee Baek, Jeong-Heui Lee, Young‐Chan Cho and Bo-Kyeong Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

Suk‐Man Kim

36 papers receiving 688 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suk‐Man Kim South Korea 13 668 217 103 90 41 39 707
Yumei Dong China 15 573 0.9× 163 0.8× 144 1.4× 89 1.0× 33 0.8× 37 695
Narinder P. S. Dhillon Thailand 15 566 0.8× 431 2.0× 105 1.0× 45 0.5× 24 0.6× 50 694
Leigh K. Hawkins United States 15 488 0.7× 119 0.5× 133 1.3× 71 0.8× 125 3.0× 26 571
Dharminder Bhatia India 14 718 1.1× 219 1.0× 134 1.3× 44 0.5× 37 0.9× 72 762
Kazuhiko Tarora Japan 12 359 0.5× 180 0.8× 254 2.5× 73 0.8× 13 0.3× 30 508
Simona Urso Italy 10 502 0.8× 129 0.6× 205 2.0× 22 0.2× 55 1.3× 13 576
J. M. Chittoor United States 6 713 1.1× 90 0.4× 182 1.8× 39 0.4× 62 1.5× 6 760
Mi‐Ok Woo South Korea 13 670 1.0× 244 1.1× 224 2.2× 66 0.7× 15 0.4× 25 728
Phil L. Bruckner United States 7 300 0.4× 153 0.7× 45 0.4× 48 0.5× 14 0.3× 8 337

Countries citing papers authored by Suk‐Man Kim

Since Specialization
Citations

This map shows the geographic impact of Suk‐Man 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 Suk‐Man Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suk‐Man Kim more than expected).

Fields of papers citing papers by Suk‐Man Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk‐Man 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 Suk‐Man Kim. The network helps show where Suk‐Man Kim may publish in the future.

Co-authorship network of co-authors of Suk‐Man Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Suk‐Man Kim. A scholar is included among the top collaborators of Suk‐Man 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 Suk‐Man Kim. Suk‐Man Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Suk‐Man, et al.. (2024). Effects of SPAD value variations according to nitrogen application levels on rice yield and its components. Frontiers in Plant Science. 15. 1437371–1437371. 7 indexed citations
2.
3.
Lee, Chang‐Min, Hyun-Su Park, Man‐Kee Baek, et al.. (2023). QTL mapping and improvement of pre-harvest sprouting resistance using japonica weedy rice. Frontiers in Plant Science. 14. 1194058–1194058. 6 indexed citations
4.
Lee, Chang‐Min, Jung-Pil Suh, Hyun-Su Park, et al.. (2021). Identification of QTL Combinations that Cause Spikelet Sterility in Rice Derived from Interspecific Crosses. Rice. 14(1). 99–99. 3 indexed citations
5.
Kim, Suk‐Man, Hyun-Su Park, Chang‐Min Lee, et al.. (2020). QTL Analysis to Improve and Diversify the Grain Shape of Rice Cultivars in Korea, Using the Long Grain japonica Cultivar, Langi. The Korean Journal of Crop Science. 65(4). 303–313.
6.
Mo, Youngjun, Man‐Kee Baek, Woojae Kim, et al.. (2020). Improvement of Seedling Establishment in Wet Direct Seeding of Rice using the Anaerobic Germination Tolerance Gene Derived from Weedy Photoblastic Rice. The Korean Journal of Crop Science. 65(3). 161–171. 2 indexed citations
7.
Park, Hyun-Su, Jung-Pil Suh, Man‐Kee Baek, et al.. (2020). Characterization of Yield and Panicle-related Traits of Early Maturing Rice Varieties by Cultivation Times in the Honam Plain Area of Korea. Korean Journal of Breeding Science. 52(2). 115–130. 9 indexed citations
8.
Park, Hyun-Su, Man‐Kee Baek, Suk‐Man Kim, et al.. (2019). Screening of High-Palatability Rice Resources and Assessment of Eating Quality Traits of Korean Landraces and Weedy Rice Germplasms. The Korean Journal of Crop Science. 64(4). 299–310. 1 indexed citations
9.
Kim, Suk‐Man, et al.. (2019). Marker‐assisted breeding for improvement of anaerobic germination in japonica rice (Oryza sativa). Plant Breeding. 138(6). 810–819. 12 indexed citations
10.
Kim, Suk‐Man & Russell Reinke. (2019). A novel resistance gene for bacterial blight in rice, Xa43(t) identified by GWAS, confirmed by QTL mapping using a bi-parental population. PLoS ONE. 14(2). e0211775–e0211775. 65 indexed citations
11.
Park, Hyun-Su, Man‐Kee Baek, Young‐Chan Cho, et al.. (2019). Improving the Glossiness of Cooked Rice, an Important Component of Visual Rice Grain Quality. Rice. 12(1). 87–87. 31 indexed citations
12.
Kim, Suk‐Man. (2018). Identification of novel recessive gene xa44(t) conferring resistance to bacterial blight races in rice by QTL linkage analysis using an SNP chip. Theoretical and Applied Genetics. 131(12). 2733–2743. 48 indexed citations
13.
Ji, Hyeonso, Sung‐Ryul Kim, Yul-Ho Kim, et al.. (2016). Map-based Cloning and Characterization of the BPH18 Gene from Wild Rice Conferring Resistance to Brown Planthopper (BPH) Insect Pest. Scientific Reports. 6(1). 34376–34376. 113 indexed citations
14.
Kim, Suk‐Man, Jung-Pil Suh, Qin Yang, et al.. (2015). Identification and fine-mapping of a new resistance gene, Xa40, conferring resistance to bacterial blight races in rice (Oryza sativa L.). Theoretical and Applied Genetics. 128(10). 1933–1943. 100 indexed citations
15.
Kim, Suk‐Man, et al.. (2009). Analysis of QTLs related to resistance to brown planthopper in rice.. Korean Journal of Breeding Science. 41(3). 236–243. 2 indexed citations
16.
Yang, Qin, Suk‐Man Kim, & Jae-Keun Sohn. (2009). QTL Analysis of Protein Content in Double-haploid Lines of Rice. The Korean Journal of Crop Science. 54(2). 165–171. 7 indexed citations
17.
Lee, Jong‐Hee, Do‐Yeon Kwak, Suk‐Man Kim, et al.. (2009). Single Nucleotide Polymorphisms in a Gene for Translation Initiation Factor (eIF4G) of Rice (Oryza sativa) Associated with Resistance to Rice tungro spherical virus. Molecular Plant-Microbe Interactions. 23(1). 29–38. 74 indexed citations
18.
Yang, Qin, Suk‐Man Kim, & Jae-Keun Sohn. (2008). Detection of Main-effect QTLs, Epistatic QTLs and QE Interactions for Grain Appearance of Brown Rice(Oryza sativa L.). Journal of Crop Science and Biotechnology. 11(2). 151–156. 9 indexed citations
19.
Yang, Qin, Suk‐Man Kim, & Jae-Keun Sohn. (2007). Genetic analysis for rice grain properties using a doubled haploid population.. The Korean Journal of Crop Science. 52(2). 123–128.
20.
Kim, Kyung‐Min, et al.. (2005). Development of RAPD Marker Related to Brown Planthopper Resistance Gene Derived from Rice Cultivar, Cheongcheongbyeo. The Korean Journal of Crop Science. 50(6). 453–456. 1 indexed citations

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.

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