Youngjun Mo

1.6k total citations
86 papers, 1.1k citations indexed

About

Youngjun Mo is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Youngjun Mo has authored 86 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 23 papers in Genetics and 15 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Youngjun Mo's work include Rice Cultivation and Yield Improvement (28 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and GABA and Rice Research (22 papers). Youngjun Mo is often cited by papers focused on Rice Cultivation and Yield Improvement (28 papers), Genetic Mapping and Diversity in Plants and Animals (23 papers) and GABA and Rice Research (22 papers). Youngjun Mo collaborates with scholars based in South Korea, United States and China. Youngjun Mo's co-authors include A.K.M. Fazle Kibria, Kee Suk Nahm, Ji‐Ung Jeung, Seung M. Oh, Jorge Dubcovsky, Stephen Pearce, Edilberto D. Redoña, Changrong Ye, Leonardo S. Vanzetti and Joong Hyoun Chin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Power Sources.

In The Last Decade

Youngjun Mo

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngjun Mo South Korea 15 595 324 253 189 140 86 1.1k
Zhonglai Li China 17 464 0.8× 302 0.9× 321 1.3× 147 0.8× 115 0.8× 28 1.1k
Yongli Zhou China 21 916 1.5× 329 1.0× 289 1.1× 255 1.3× 87 0.6× 55 1.6k
Lujiang Li China 17 384 0.6× 237 0.7× 164 0.6× 200 1.1× 75 0.5× 35 940
B. Venkata Shiva Reddy India 13 218 0.4× 163 0.5× 43 0.2× 84 0.4× 69 0.5× 32 588
Ashraf M. M. Abdelbacki Saudi Arabia 19 340 0.6× 216 0.7× 51 0.2× 235 1.2× 181 1.3× 65 950
Xuezheng Wang China 19 487 0.8× 76 0.2× 309 1.2× 88 0.5× 27 0.2× 53 862
Hongliang Hu China 14 263 0.4× 178 0.5× 27 0.1× 95 0.5× 117 0.8× 50 769
Wenjin Yu China 18 276 0.5× 368 1.1× 80 0.3× 511 2.7× 59 0.4× 78 1.0k

Countries citing papers authored by Youngjun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Youngjun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngjun Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Youngjun Mo. A scholar is included among the top collaborators of Youngjun Mo 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 Youngjun Mo. Youngjun Mo 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.
Lee, Myoung Hui, Chuloh Cho, Jun Yong Choi, et al.. (2025). Genome-wide association study to identify the genomic loci associated with wheat heading date variation under autumn-sowing conditions. PLoS ONE. 20(4). e0322306–e0322306.
2.
Mo, Youngjun, et al.. (2024). Assessment of Genetic Diversity Using Morphological and Molecular Characteristics of Indonesian Zoysiagrass Genotypes. HAYATI Journal of Biosciences. 32(1). 263–277.
3.
Kang, Chon-Sik, et al.. (2023). Research Advances in Wheat Breeding and Genetics for Powdery Mildew Resistance. Korean Journal of Breeding Science. 55(3). 218–243. 1 indexed citations
4.
Lee, Hyun‐Sook, Chang‐Min Lee, Hyang-Mi Park, et al.. (2023). Multi-Environment Trials and Stability Analysis for Yield-Related Traits of Commercial Rice Cultivars. Agriculture. 13(2). 256–256. 36 indexed citations
5.
Zhang, Junli, Chengxia Li, Wenjun Zhang, et al.. (2023). Wheat plant height locus RHT25 encodes a PLATZ transcription factor that interacts with DELLA (RHT1). Proceedings of the National Academy of Sciences. 120(19). e2300203120–e2300203120. 26 indexed citations
6.
Choi, Changhyun, et al.. (2023). Research Advances in Wheat Breeding and Genetics for Fusarium Head Blight Resistance. Korean Journal of Breeding Science. 55(3). 195–217. 2 indexed citations
7.
Mo, Youngjun, et al.. (2020). Utilization of Elite Korean Japonica Rice Varieties for Association Mapping of Heading Time, Culm Length, and Amylose and Protein Content. The Korean Journal of Crop Science. 65(1). 1–21. 5 indexed citations
8.
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
9.
Jeung, Ji‐Ung, et al.. (2020). Genetic and Agronomic Analysis of a Recombinant Inbred Line Population to Map Quantitative Trait Loci for Blast Resistance and Select Promising Lines in Rice. The Korean Journal of Crop Science. 65(3). 172–181. 1 indexed citations
10.
Mo, Youngjun, T. A. Howell, Hans Vasquez-Gross, et al.. (2017). Mapping causal mutations by exome sequencing in a wheat TILLING population: a tall mutant case study. Molecular Genetics and Genomics. 293(2). 463–477. 53 indexed citations
11.
Kim, Bo-Kyeong, Ki‐Young Kim, Woojae Kim, et al.. (2012). A brown planthopper resistance and high quality rice variety 'Chinnong'.. Korean Journal of Breeding Science. 44(3). 373–378. 1 indexed citations
12.
Mo, Youngjun, et al.. (2012). Changes in the panicle-related traits of different rice varieties under high temperature condition.. Australian Journal of Crop Science. 6(3). 436–443. 9 indexed citations
13.
Kim, Ki‐Young, et al.. (2012). A New Mid-late Maturing, Lodging Tolerant and Good-Quality Rice Variety ‘Mipum’. Korean Journal of Breeding Science. 44(3). 363–368. 2 indexed citations
14.
Ye, Changrong, Edilberto D. Redoña, Youngjun Mo, et al.. (2011). Mapping QTL for heat tolerance at flowering stage in rice using SNP markers. Plant Breeding. 131(1). 33–41. 144 indexed citations
15.
Park, Hyun-Su, et al.. (2011). Characteristics and variation of panicle traits of Korean rice varieties in wet season of the Philippines.. Korean Journal of Breeding Science. 43(1). 68–80. 2 indexed citations
16.
Kim, Ki‐Young, et al.. (2011). Development of near-isogenic lines (NILs) conferring Xa4, xa5 and Xa21 genes resistant to bacterial blight (Xanthomonas oryzae pv. oryzae) in japonica rice genetic background.. Korean Journal of Breeding Science. 43(5). 383–390. 5 indexed citations
17.
Park, Hyun-Su, et al.. (2010). Characteristics of panicle traits for 178 rice varieties bred in Korea.. Korean Journal of Breeding Science. 42(2). 169–180. 3 indexed citations
18.
Kim, Ki‐Young, et al.. (2009). Effective combination of resistance genes against rice bacterial blight pathogen.. Korean Journal of Breeding Science. 41(3). 244–251. 13 indexed citations
19.
Kim, Ki‐Young, Woojae Kim, Bo-Kyeong Kim, et al.. (2008). A new medium-maturing, "Gangbaek" with resistance to bacterial blight.. Korean Journal of Breeding Science. 40(4). 443–446. 3 indexed citations
20.
Mo, Youngjun, et al.. (2002). Low-Temperature RTCVD Growth and Characterization of Silicon-Carbide Nanorods Through Carbon Nanotubes. Journal of the Korean Physical Society. 41(5). 789–794. 2 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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