Kihwan Song

567 total citations
31 papers, 375 citations indexed

About

Kihwan Song is a scholar working on Genetics, Plant Science and Horticulture. According to data from OpenAlex, Kihwan Song has authored 31 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 16 papers in Plant Science and 13 papers in Horticulture. Recurrent topics in Kihwan Song's work include Advances in Cucurbitaceae Research (16 papers), Cocoa and Sweet Potato Agronomy (13 papers) and Plant Virus Research Studies (5 papers). Kihwan Song is often cited by papers focused on Advances in Cucurbitaceae Research (16 papers), Cocoa and Sweet Potato Agronomy (13 papers) and Plant Virus Research Studies (5 papers). Kihwan Song collaborates with scholars based in South Korea, Türkiye and India. Kihwan Song's co-authors include Hemasundar Alavilli, Chunying Zhang, Khin Thanda Win, Sanghyeob Lee, Seher Yolcu, Jeong-Gu Kim, Madhusmita Panigrahy, Byoung‐Cheorl Kang, Sang‐Choon Lee and Hea‐Young Lee and has published in prestigious journals such as Scientific Reports, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Kihwan Song

29 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kihwan Song South Korea 12 252 141 117 58 34 31 375
Arshiya Noorani Italy 2 241 1.0× 125 0.9× 74 0.6× 8 0.1× 39 1.1× 2 322
Habibur Rahman Canada 19 896 3.6× 114 0.8× 469 4.0× 19 0.3× 15 0.4× 77 1.0k
Haixia Lv China 3 201 0.8× 66 0.5× 180 1.5× 6 0.1× 23 0.7× 7 347
E. Y. Suárez Argentina 8 405 1.6× 143 1.0× 99 0.8× 8 0.1× 42 1.2× 16 452
Moises Cortés-Cruz Mexico 9 162 0.6× 47 0.3× 109 0.9× 18 0.3× 45 1.3× 27 268
Ardashir Kharabian Masouleh Australia 11 375 1.5× 96 0.7× 182 1.6× 23 0.4× 26 0.8× 41 475
Xiaomei Xu China 10 171 0.7× 53 0.4× 115 1.0× 15 0.3× 20 0.6× 20 264
Mostafa Ahmadizadeh Iran 14 481 1.9× 35 0.2× 134 1.1× 15 0.3× 41 1.2× 26 522
Suping Feng China 10 454 1.8× 108 0.8× 216 1.8× 9 0.2× 13 0.4× 14 546
María de Fátima Pires da Silva Machado Brazil 12 265 1.1× 73 0.5× 138 1.2× 5 0.1× 111 3.3× 58 384

Countries citing papers authored by Kihwan Song

Since Specialization
Citations

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

Fields of papers citing papers by Kihwan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kihwan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Kihwan Song. A scholar is included among the top collaborators of Kihwan Song 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 Kihwan Song. Kihwan Song 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, Youngsang, et al.. (2024). Preventing subsequent turnover after downsizing: The role of collective pay for performance practices. Human Resource Management Journal. 35(1). 64–90.
2.
Alavilli, Hemasundar, Hea‐Young Lee, Jeongjin Lee, et al.. (2023). Identification of a gene causing yellow endocarp in Cucumis sativus through high-throughput sequencing. Scientia Horticulturae. 323. 112515–112515.
3.
Song, Kihwan, et al.. (2022). Cucurbitacin and volatile compound profiling reveals independent domestication of cucumber (Cucumis sativus L.) fruit. Food Chemistry. 405(Pt B). 135006–135006. 5 indexed citations
4.
Song, Kihwan, et al.. (2022). Non-targeted metabolomic analysis for the comparative evaluation of volatile organic compounds in 20 globally representative cucumber lines. Frontiers in Plant Science. 13. 1028735–1028735. 11 indexed citations
5.
Yolcu, Seher, et al.. (2021). Salt and Drought Stress Responses in Cultivated Beets (Beta vulgaris L.) and Wild Beet (Beta maritima L.). Plants. 10(9). 1843–1843. 49 indexed citations
6.
Yolcu, Seher, et al.. (2021). An Insight into the Abiotic Stress Responses of Cultivated Beets (Beta vulgaris L.). Plants. 11(1). 12–12. 18 indexed citations
7.
Song, Kihwan, Ramesh Kumar Saini, Young‐Soo Keum, & Iyyakkannu Sivanesan. (2021). Analysis of Lipophilic Antioxidants in the Leaves of Kaempferia parviflora Wall. Ex Baker Using LC–MRM–MS and GC–FID/MS. Antioxidants. 10(10). 1573–1573. 8 indexed citations
8.
Park, Hyun-Seung, Won Kyung Lee, Sang‐Choon Lee, et al.. (2021). Inheritance of chloroplast and mitochondrial genomes in cucumber revealed by four reciprocal F1 hybrid combinations. Scientific Reports. 11(1). 2506–2506. 30 indexed citations
9.
Lee, Hea‐Young, Hemasundar Alavilli, Jeong-Gu Kim, et al.. (2021). Identification of an Allelic Variant of the CsOr Gene Controlling Fruit Endocarp Color in Cucumber (Cucumis sativus L.) Using Genotyping-By-Sequencing (GBS) and Whole-Genome Sequencing. Frontiers in Plant Science. 12. 802864–802864. 11 indexed citations
10.
Song, Kihwan, Younhee Shin, Myunghee Jung, et al.. (2021). Chromosome-Scale Genome Assemblies of Two Korean Cucumber Inbred Lines. Frontiers in Genetics. 12. 733188–733188. 3 indexed citations
11.
Alavilli, Hemasundar, et al.. (2021). Development of SNP Markers for White Immature Fruit Skin Color in Cucumber (Cucumis sativus L.) Using QTL-seq and Marker Analyses. Plants. 10(11). 2341–2341. 10 indexed citations
13.
Song, Kihwan, Iyyakkannu Sivanesan, Güneş Ak, et al.. (2020). Screening of Bioactive Metabolites and Biological Activities of Calli, Shoots, and Seedlings of Mertensia maritima (L.) Gray. Plants. 9(11). 1551–1551. 6 indexed citations
14.
Lee, Hea‐Young, et al.. (2020). Population Structure and Genetic Diversity of Cucurbita moschata Based on Genome-Wide High-Quality SNPs. Plants. 10(1). 56–56. 15 indexed citations
15.
Song, Kihwan, et al.. (2019). Evaluation of a Seton Procedure Combined With Infliximab Therapy (Early vs. Late) in Perianal Fistula With Crohn Disease. Annals of Coloproctology. 35(5). 249–253. 12 indexed citations
16.
Venkatesh, Jelli, Kihwan Song, Joung‐Ho Lee, Jin‐Kyung Kwon, & Byoung‐Cheorl Kang. (2018). Development of Bi gene-based SNP markers for genotyping for bitter-free cucumber lines. Horticulture Environment and Biotechnology. 59(2). 231–238. 6 indexed citations
17.
Lee, Sang‐Choon, et al.. (2017). Genome-Wide Identification and Classification of the AP2/EREBP Gene Family in the Cucurbitaceae Species. Plant Breeding and Biotechnology. 5(2). 123–133. 8 indexed citations
18.
Lee, Sang‐Choon, et al.. (2017). The complete chloroplast genome sequence with a novel 24-bp deletion of a Korean solid green-type cucumber variety (Cucumis sativus var. sativus). Mitochondrial DNA Part B. 2(2). 755–756. 2 indexed citations
19.
Song, Kihwan, et al.. (2016). Marker-Assisted Selection for Monoecy inChamoe (Cucumis melo L.). Horticultural Science and Technology. 34(1). 134–141. 3 indexed citations
20.
Win, Khin Thanda, et al.. (2016). QTL mapping for downy mildew resistance in cucumber via bulked segregant analysis using next-generation sequencing and conventional methods. Theoretical and Applied Genetics. 130(1). 199–211. 70 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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