Sang-Nag Ahn

2.1k total citations
62 papers, 1.5k citations indexed

About

Sang-Nag Ahn is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Sang-Nag Ahn has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Plant Science, 48 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Sang-Nag Ahn's work include Genetic Mapping and Diversity in Plants and Animals (47 papers), Rice Cultivation and Yield Improvement (38 papers) and GABA and Rice Research (29 papers). Sang-Nag Ahn is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (47 papers), Rice Cultivation and Yield Improvement (38 papers) and GABA and Rice Research (29 papers). Sang-Nag Ahn collaborates with scholars based in South Korea, United States and China. Sang-Nag Ahn's co-authors include Susan R. McCouch, Steven D. Tanksley, Fengxue Jin, C. N. Bollich, Hung-Goo Hwang, Jung-Pil Suh, Hyun‐Sook Lee, Hyun‐Sook Lee, Ju-Won Kang and Won‐Yong Song and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Experimental Botany and Molecules.

In The Last Decade

Sang-Nag Ahn

61 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang-Nag Ahn South Korea 20 1.4k 870 232 55 52 62 1.5k
Junliang Zhao China 21 1.1k 0.8× 296 0.3× 476 2.1× 80 1.5× 25 0.5× 60 1.3k
Bhushan B. Dholakia India 17 651 0.5× 236 0.3× 273 1.2× 19 0.3× 24 0.5× 39 898
Bigang Mao China 16 1.6k 1.1× 281 0.3× 662 2.9× 175 3.2× 149 2.9× 31 1.8k
Haijian Lin China 24 1.2k 0.8× 291 0.3× 456 2.0× 96 1.7× 23 0.4× 56 1.3k
Xuehui Li United States 20 1.1k 0.8× 499 0.6× 193 0.8× 12 0.2× 26 0.5× 58 1.3k
Banpu Ruan China 19 973 0.7× 297 0.3× 292 1.3× 80 1.5× 53 1.0× 43 1.1k
Eiji Tsuzuki Japan 19 941 0.7× 94 0.1× 94 0.4× 26 0.5× 26 0.5× 56 1.0k
Anetta Kuczyńska Poland 17 737 0.5× 183 0.2× 194 0.8× 15 0.3× 31 0.6× 49 840
Garima Pandey India 13 660 0.5× 119 0.1× 295 1.3× 14 0.3× 25 0.5× 19 802
Sushma Tiwari India 16 775 0.6× 166 0.2× 148 0.6× 7 0.1× 32 0.6× 91 857

Countries citing papers authored by Sang-Nag Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sang-Nag Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Nag Ahn. 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 Sang-Nag Ahn. The network helps show where Sang-Nag Ahn may publish in the future.

Co-authorship network of co-authors of Sang-Nag Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Nag Ahn. A scholar is included among the top collaborators of Sang-Nag Ahn 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 Sang-Nag Ahn. Sang-Nag Ahn 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
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Kang, Yuna, Jun‐Ho Song, Ye Jin Kim, et al.. (2023). A Frameshift Mutation in the Mg-Chelatase I Subunit Gene OsCHLI Is Associated with a Lethal Chlorophyll-Deficient, Yellow Seedling Phenotype in Rice. Plants. 12(15). 2831–2831. 7 indexed citations
3.
Adeva, Cheryl, et al.. (2022). QTL Mapping of Mineral Element Contents in Rice Using Introgression Lines Derived from an Interspecific Cross. Agronomy. 13(1). 76–76. 5 indexed citations
4.
Adeva, Cheryl, Ju-Won Kang, Hyun‐Sook Lee, et al.. (2022). Interaction of starch branching enzyme 3 and granule-bound starch synthase 1 alleles increases amylose content and alters physico-chemical properties in japonica rice (Oryza sativa L.). Frontiers in Plant Science. 13. 968795–968795. 5 indexed citations
5.
Lee, Hyun‐Sook, et al.. (2021). Natural variation in rice ascorbate peroxidase gene APX9 is associated with a yield-enhancing QTL cluster. Journal of Experimental Botany. 72(12). 4254–4268. 11 indexed citations
6.
Adeva, Cheryl, et al.. (2021). Genetic Structure and Geographical Differentiation of Traditional Rice (Oryza sativa L.) from Northern Vietnam. Plants. 10(10). 2094–2094. 12 indexed citations
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Singh, Namrata, Diane Wang, Liakat Ali, et al.. (2020). A Coordinated Suite of Wild-Introgression Lines in Indica and Japonica Elite Backgrounds. Frontiers in Plant Science. 11. 564824–564824. 6 indexed citations
10.
Park, Inkyu, Sungyu Yang, Wook Jin Kim, et al.. (2019). Sequencing and Comparative Analysis of the Chloroplast Genome of Angelica polymorpha and the Development of a Novel Indel Marker for Species Identification. Molecules. 24(6). 1038–1038. 38 indexed citations
11.
Lee, Hyun‐Sook, Kazuhiro Sasaki, Ju-Won Kang, et al.. (2017). Mesocotyl Elongation is Essential for Seedling Emergence Under Deep-Seeding Condition in Rice. Rice. 10(1). 32–32. 54 indexed citations
12.
Lee, Hyun‐Sook, et al.. (2017). Fine mapping and candidate gene analysis of the quantitative trait locus gw8.1 associated with grain length in rice. Genes & Genomics. 40(4). 389–397. 13 indexed citations
13.
Lee, Jong-Yeol, Susan B. Altenbach, Sun‐Hyung Lim, et al.. (2016). Comprehensive identification of LMW-GS genes and their protein products in a common wheat variety. Functional & Integrative Genomics. 16(3). 269–279. 28 indexed citations
14.
Lee, Young-Ju, Jae‐Chul Lee, Kwang‐Won Lee, et al.. (2016). QTL Mapping of Grain Quality Traits Using Introgression Lines Carrying Oryza rufipogon Chromosome Segments in Japonica Rice. Rice. 9(1). 62–62. 32 indexed citations
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Lee, Hyun‐Sook, et al.. (2013). QTL mapping reveals a tight linkage between QTLs for grain weight and panicle spikelet number in rice. Rice. 6(1). 33–33. 22 indexed citations
17.
Lee, Hyun‐Sook, Kazuhiro Sasaki, Atsushi Higashitani, Sang-Nag Ahn, & Tadashi Sato. (2012). Mapping and characterization of quantitative trait loci for mesocotyl elongation in rice (Oryza sativa L.). Rice. 5(1). 13–13. 52 indexed citations
18.
Ke, Liping, et al.. (2011). Microsatellite primers in red bayberry, Myrica rubra (Myricaceae). American Journal of Botany. 98(4). e93–5. 7 indexed citations
19.
Kim, Jeong-Soon, et al.. (2008). Quantification of Protein and Amylose Contents by Near Infrared Reflectance Spectroscopy in Aroma Rice. Korean Journal of Food Science and Technology. 40(6). 603–610. 5 indexed citations
20.
Cho, Young‐Chan, Soon‐Wook Kwon, Jung-Pil Suh, et al.. (2008). QTLs Identification and Confiirmation of Field Resistance to Leaf Blast in Temperate japonica Rice (Oryza sativa L.). Journal of Crop Science and Biotechnology. 11(4). 269–276. 10 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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