Song Lim Kim

1.8k total citations · 1 hit paper
35 papers, 1.3k citations indexed

About

Song Lim Kim is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Song Lim Kim has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 17 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in Song Lim Kim's work include Genetic Mapping and Diversity in Plants and Animals (17 papers), Rice Cultivation and Yield Improvement (10 papers) and Plant Molecular Biology Research (10 papers). Song Lim Kim is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (17 papers), Rice Cultivation and Yield Improvement (10 papers) and Plant Molecular Biology Research (10 papers). Song Lim Kim collaborates with scholars based in South Korea, India and Romania. Song Lim Kim's co-authors include Gynheung An, Shin-Young Lee, Jeongho Baek, Hyo Jung Kim, Hong Gil Nam, Hyeonso Ji, Kyung-Hwan Kim, Chang‐deok Han, Choong‐Hwan Ryu and Soon Ju Park and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and The Plant Journal.

In The Last Decade

Song Lim Kim

31 papers receiving 1.3k citations

Hit Papers

Integration of smart sensors and IOT in precision agricul... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Song Lim Kim South Korea 17 1.2k 513 496 70 53 35 1.3k
In Sun Yoon South Korea 18 1.2k 1.0× 460 0.9× 153 0.3× 31 0.4× 30 0.6× 43 1.3k
Ning Xiao China 17 853 0.7× 367 0.7× 300 0.6× 68 1.0× 25 0.5× 54 993
Hanan Sela Israel 18 1.4k 1.1× 329 0.6× 385 0.8× 43 0.6× 26 0.5× 44 1.4k
Peng Xu China 20 1.1k 0.9× 448 0.9× 430 0.9× 69 1.0× 33 0.6× 85 1.2k
A. Wan China 12 833 0.7× 355 0.7× 167 0.3× 101 1.4× 19 0.4× 17 885
Umesh R. Rosyara United States 19 984 0.8× 284 0.6× 313 0.6× 87 1.2× 22 0.4× 31 1.1k
Adam Famoso United States 11 919 0.7× 146 0.3× 314 0.6× 40 0.6× 19 0.4× 33 990
Zhenglong Ren China 22 1.3k 1.0× 378 0.7× 380 0.8× 72 1.0× 32 0.6× 74 1.4k
Sébastien Tisné France 16 637 0.5× 286 0.6× 227 0.5× 16 0.2× 137 2.6× 24 819
Marietta Baraoidan Philippines 14 1.4k 1.2× 563 1.1× 191 0.4× 139 2.0× 27 0.5× 17 1.5k

Countries citing papers authored by Song Lim Kim

Since Specialization
Citations

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

Fields of papers citing papers by Song Lim Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Lim 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 Song Lim Kim. The network helps show where Song Lim Kim may publish in the future.

Co-authorship network of co-authors of Song Lim Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Song Lim Kim. A scholar is included among the top collaborators of Song Lim 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 Song Lim Kim. Song Lim 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.
Hong, Joon Ki, Jeongho Baek, Jae Young Kim, et al.. (2025). High throughput phenotyping using automated imaging system reveals the relationship between seed yield and agronomic traits in Korean rice cultivars. Journal of Plant Physiology. 311. 154544–154544.
2.
Mansoor, Sheikh, et al.. (2025). Integration of smart sensors and IOT in precision agriculture: trends, challenges and future prospectives. Frontiers in Plant Science. 16. 1587869–1587869. 14 indexed citations breakdown →
3.
Kim, Song Lim, et al.. (2024). Experimental analysis and evaluation of cohesive subgraph discovery. Information Sciences. 672. 120664–120664.
4.
Jang, Yoon‐Hee, Song Lim Kim, Jeongho Baek, et al.. (2024). Application of Image-Based Phenotyping for QTL Identification of Tiller Angle in Rice (Oryza sativa L.). Plants. 13(23). 3288–3288.
5.
Kim, Dong Chan, et al.. (2023). Breeding of the Garden Chrysanthemum ‘Burning Ball’, a Semi-Upright Type with a Red Color. Korean Journal of Breeding Science. 55(1). 48–53. 1 indexed citations
6.
Kim, Jae-Young, et al.. (2023). Image-Based High-Throughput Phenotyping in Horticultural Crops. Plants. 12(10). 2061–2061. 42 indexed citations
7.
Kim, Song Lim, Eun‐Gyeong Lee, Kyeong-Seong Cheon, et al.. (2020). High-throughput phenotyping platform for analyzing drought tolerance in rice. Planta. 252(3). 38–38. 75 indexed citations
8.
Cheon, Kyeong-Seong, Young‐Min Jeong, Jun Oh, et al.. (2020). QTL mapping for pre-harvest sprouting resistance in japonica rice varieties utilizing genome re-sequencing. Molecular Genetics and Genomics. 295(5). 1129–1140. 18 indexed citations
9.
Baek, Jeongho, Eun‐Gyeong Lee, Song Lim Kim, et al.. (2020). High Throughput Phenotyping for Various Traits on Soybean Seeds Using Image Analysis. Sensors. 20(1). 248–248. 52 indexed citations
10.
Kim, Song Lim, Yong Suk Chung, Hyeonso Ji, et al.. (2019). The opening of phenome-assisted selection era in the early seedling stage. Scientific Reports. 9(1). 9948–9948. 7 indexed citations
11.
Cheon, Kyeong-Seong, Jun Oh, Song Lim Kim, et al.. (2019). Rice Genome Resequencing Reveals a Major Quantitative Trait Locus for Resistance to Bakanae Disease Caused by Fusarium fujikuroi. International Journal of Molecular Sciences. 20(10). 2598–2598. 30 indexed citations
13.
Cheon, Kyeong-Seong, Young‐Min Jeong, Jun Oh, et al.. (2019). Kompetitive Allele-Specific PCR Marker Development and Quantitative Trait Locus Mapping for Bakanae Disease Resistance in Korean Japonica Rice Varieties. Plant Breeding and Biotechnology. 7(3). 208–219. 25 indexed citations
14.
Ji, Hyeonso, Tae Ho Kim, Gang‐Seob Lee, et al.. (2017). Mapping of a major quantitative trait locus for bakanae disease resistance in rice by genome resequencing. Molecular Genetics and Genomics. 293(3). 579–586. 28 indexed citations
15.
Yoon, Jinmi, Lae‐Hyeon Cho, Song Lim Kim, et al.. (2014). The BEL1‐type homeobox gene SH5 induces seed shattering by enhancing abscission‐zone development and inhibiting lignin biosynthesis. The Plant Journal. 79(5). 717–728. 113 indexed citations
16.
Kim, Song Lim, Min‐Kyeung Choi, Ki‐Hong Jung, & Gynheung An. (2013). Analysis of the early-flowering mechanisms and generation of T-DNA tagging lines in Kitaake, a model rice cultivar. Journal of Experimental Botany. 64(14). 4169–4182. 42 indexed citations
17.
Ryu, Choong‐Hwan, Shin-Young Lee, Song Lim Kim, et al.. (2009). OsMADS50andOsMADS56function antagonistically in regulating long day (LD)‐dependent flowering in rice. Plant Cell & Environment. 32(10). 1412–1427. 181 indexed citations
18.
Park, Soon Ju, Song Lim Kim, Shin-Young Lee, et al.. (2008). Rice Indeterminate 1 (OsId1) is necessary for the expression of Ehd1 (Early heading date 1) regardless of photoperiod. The Plant Journal. 56(6). 1018–1029. 139 indexed citations
19.
Jeong, Dong‐Hoon, Shin-Young Lee, Song Lim Kim, Ildoo Hwang, & Gynheung An. (2007). Regulation of brassinosteroid responses by Phytochrome B in rice. Plant Cell & Environment. 30(5). 590–599. 37 indexed citations
20.
Lee, Jinwon, et al.. (2007). Mutations in the rice liguleless gene result in a complete loss of the auricle, ligule, and laminar joint. Plant Molecular Biology. 65(4). 487–499. 118 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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