Byung‐Moo Lee

1.2k total citations · 1 hit paper
67 papers, 850 citations indexed

About

Byung‐Moo Lee is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Byung‐Moo Lee has authored 67 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 23 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Byung‐Moo Lee's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Agriculture, Soil, Plant Science (11 papers) and Plant tissue culture and regeneration (11 papers). Byung‐Moo Lee is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Agriculture, Soil, Plant Science (11 papers) and Plant tissue culture and regeneration (11 papers). Byung‐Moo Lee collaborates with scholars based in South Korea, United States and Singapore. Byung‐Moo Lee's co-authors include Kyung‐Hee Kim, Won Cheol Yim, Cheol Seong Jang, Jong-Guk Kim, Hyeokjun Yoon, Sumera Afzal Khan, Yeon‐Sik Choo, Muhammad Hamayun, Won‐Sik Kong and Ung-Han Yoon and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Agricultural and Food Chemistry and Frontiers in Plant Science.

In The Last Decade

Byung‐Moo Lee

60 papers receiving 778 citations

Hit Papers

Effects of Climate Change... 2023 2026 2024 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byung‐Moo Lee South Korea 13 541 304 153 113 81 67 850
A.A.M. van Lammeren Netherlands 23 1.0k 1.9× 943 3.1× 136 0.9× 132 1.2× 29 0.4× 54 1.4k
Amaia Nogales Portugal 15 457 0.8× 178 0.6× 59 0.4× 41 0.4× 82 1.0× 35 639
Catherine Riou France 16 1.9k 3.4× 1.4k 4.5× 152 1.0× 77 0.7× 21 0.3× 31 2.1k
José Gadea Spain 23 1.2k 2.3× 788 2.6× 178 1.2× 58 0.5× 26 0.3× 53 1.6k
Tonni Grube Andersen Germany 17 1.9k 3.4× 1.0k 3.4× 62 0.4× 64 0.6× 17 0.2× 37 2.1k
Fanchang Zeng China 19 852 1.6× 505 1.7× 66 0.4× 66 0.6× 43 0.5× 45 993
Zhenzhen Zhao China 11 589 1.1× 180 0.6× 161 1.1× 63 0.6× 53 0.7× 32 790
Junfeng Liang China 11 408 0.8× 168 0.6× 115 0.8× 148 1.3× 74 0.9× 39 563
Muhammad Adnan China 15 626 1.2× 398 1.3× 127 0.8× 57 0.5× 88 1.1× 60 1.0k
Adilson Kenji Kobayashi Brazil 22 875 1.6× 578 1.9× 30 0.2× 31 0.3× 37 0.5× 49 1.2k

Countries citing papers authored by Byung‐Moo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Byung‐Moo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byung‐Moo Lee. 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 Byung‐Moo Lee. The network helps show where Byung‐Moo Lee may publish in the future.

Co-authorship network of co-authors of Byung‐Moo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Byung‐Moo Lee. A scholar is included among the top collaborators of Byung‐Moo Lee 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 Byung‐Moo Lee. Byung‐Moo Lee 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.
Moon, James, et al.. (2014). Differentially expressed genes and 'in silico' analysis in response to ozone (O3) stress of soybean leaves. Australian Journal of Crop Science. 8(2). 276–283. 5 indexed citations
2.
Yim, Won Cheol, et al.. (2013). Relationship of Transformation Efficiency and Metabolites Induced in Korean Soybean Cotyledons Treated with Sonication. Korean Journal of Crop Science. 58(2). 119–127. 3 indexed citations
3.
Yim, Won Cheol, et al.. (2012). Transcriptome analysis in response to UV-B stress in soybean ['Glycine max' (L.) Merr.]. Australian Journal of Crop Science. 6(9). 1395–1400. 1 indexed citations
4.
Kim, Kyung‐Hee, et al.. (2011). Regeneration Potential of Immature Embryos during Seed Development in Spring and Winter Wheat Genotypes. Korean Journal of Crop Science. 56(3). 279–283. 2 indexed citations
5.
Lee, Byung‐Moo, et al.. (2010). Simultaneous Determination of Pesticide Residues in Soils by Dichloromethane Partition - Adsorption Chromatography - GC-ECD/NPD Analytical Methods. 14(4). 361–370. 5 indexed citations
6.
Song, Ji‐Young, Hye‐Sook Han, Kanaga Sabapathy, et al.. (2010). Expression of a Homeostatic Regulator, Wip1 (Wild-type p53-induced Phosphatase), Is Temporally Induced by c-Jun and p53 in Response to UV Irradiation. Journal of Biological Chemistry. 285(12). 9067–9076. 22 indexed citations
7.
Kim, Kyung‐Hee, Jae-Eun Lee, Young‐Up Kwon, & Byung‐Moo Lee. (2009). Influence of Antibiotics on Shoot Regeneration and Agrobacteium Suppression Using Cotyledonary Node in Korean Soybean Cultivars. The Korean Journal of Crop Science. 54(3). 307–313. 1 indexed citations
8.
Yim, Won Cheol, et al.. (2007). Evaluation of genetic diversity among Korean wheat using RAPD and ISSR analysis.. Korean Journal of Breeding Science. 39(3). 309–315. 1 indexed citations
9.
Park, Kyung‐Hun, et al.. (2007). Monitoring of pesticide residues in water and soil at the Bokpocheon watershed in Yangpyong. 11(4). 230–237. 5 indexed citations
10.
Woo, Sun–Hee, Tae Seon Kim, Seong-Woo Cho, et al.. (2006). Separation and Characterization of Spikelet Proteins at Young Microspore Stage in Rice. The Korean Journal of Crop Science. 51(1). 66–72. 7 indexed citations
11.
Kwon, Young‐Up, et al.. (2005). Plant regeneration from sliced mature embryo fragments of wheat cultivars.. The Korean Journal of Crop Science. 50(5). 356–360. 5 indexed citations
12.
Lee, Kyung Jun, et al.. (2004). Evaluation of Sterilization Methods in Mature Seeds of Wheat. 49(2). 324–325. 1 indexed citations
13.
Kim, Seunghwan, et al.. (2004). Surface Imaging of Barley Aleurone Cell by Atomic Force Microscopy. The Korean Journal of Crop Science. 49(1). 36–40. 1 indexed citations
14.
Lee, Byung‐Moo, et al.. (2004). Behavior of the soil residues of the fungicide hexaconazole in a rice plants-grown microecosystem (pot). 8(3). 198–209. 1 indexed citations
15.
Heo, Hwa‐Young, et al.. (2004). Effects of Sonication and Vacuum Infiltration on Agrobacterium-Mediated Transformation in Immature Embryos of Korean Wheat Genotypes. The Korean Journal of Crop Science. 49(5). 415–418. 8 indexed citations
16.
Lee, Sang‐Kyu, Kyung‐Hee Kim, M. S. Kang, et al.. (2003). Efficient Callus Induction and Plant Regeneration from Immature and Mature Embryo Culture of Korean Wheat Genotypes. The Korean Journal of Crop Science. 48(1). 38–43. 2 indexed citations
17.
Kim, Kyung‐Hee & Byung‐Moo Lee. (2002). Callus Induction and Plant Regeneration from Mature Embryos in Oat. The Korean Journal of Crop Science. 47(5). 352–355. 1 indexed citations
18.
Shim, Sang-In, et al.. (2001). Potential Risk of Genetically Modified Plants in Korean Ecosystem: a Proposal for Unintended Effects on Korean Wild Species. The Korean Journal of Crop Science. 46(2). 157–163. 4 indexed citations
19.
Shim, Sang In, et al.. (2001). Potential Risk of Genetically Modified Plants in Korean Ecosystem. 46(2). 157–163. 4 indexed citations
20.
Lee, Byung‐Moo, et al.. (1981). Studies on Degradation of Butachlor and Nitrofen in Different Soil Conditions. Applied Biological Chemistry. 24(2). 112–119. 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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