Seong‐Bum Baek

538 total citations
63 papers, 400 citations indexed

About

Seong‐Bum Baek is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Molecular Biology. According to data from OpenAlex, Seong‐Bum Baek has authored 63 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Ecology, Evolution, Behavior and Systematics, 31 papers in Plant Science and 6 papers in Molecular Biology. Recurrent topics in Seong‐Bum Baek's work include Agriculture, Soil, Plant Science (34 papers), Wheat and Barley Genetics and Pathology (8 papers) and Plant Disease Resistance and Genetics (7 papers). Seong‐Bum Baek is often cited by papers focused on Agriculture, Soil, Plant Science (34 papers), Wheat and Barley Genetics and Pathology (8 papers) and Plant Disease Resistance and Genetics (7 papers). Seong‐Bum Baek collaborates with scholars based in South Korea, Japan and Germany. Seong‐Bum Baek's co-authors include Jung‐Tae Kim, Pil Joo Kim, Jinseok Lee, Sun‐Lim Kim, Dong Yeol Lee, Dong‐Won Bae, Young‐Up Kwon, Young Sang Kwon, Jung-Gon Kim and Randeep Rakwal and has published in prestigious journals such as PROTEOMICS, ACS Omega and Physiological and Molecular Plant Pathology.

In The Last Decade

Seong‐Bum Baek

51 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong‐Bum Baek South Korea 10 264 111 91 54 32 63 400
G. Pereira Portugal 12 366 1.4× 63 0.6× 58 0.6× 32 0.6× 52 1.6× 24 444
Marwan Diapari Canada 13 703 2.7× 81 0.7× 64 0.7× 64 1.2× 34 1.1× 17 771
Megahed H. Ammar Saudi Arabia 17 652 2.5× 94 0.8× 136 1.5× 61 1.1× 54 1.7× 33 755
Tae‐Young Hwang South Korea 12 518 2.0× 62 0.6× 75 0.8× 91 1.7× 49 1.5× 54 661
Ha-Cheol Hong South Korea 9 239 0.9× 78 0.7× 45 0.5× 89 1.6× 11 0.3× 57 325
Emmanuel Couturon France 13 265 1.0× 55 0.5× 164 1.8× 35 0.6× 20 0.6× 29 499
J. L. de Almeida Brazil 10 277 1.0× 74 0.7× 77 0.8× 81 1.5× 40 1.3× 14 386
Myoung‐Jae Shin South Korea 11 266 1.0× 30 0.3× 87 1.0× 58 1.1× 20 0.6× 51 370
S. D. S. S. Sooriyapathirana Sri Lanka 10 339 1.3× 50 0.5× 216 2.4× 39 0.7× 20 0.6× 54 502
Dorota Piasecka‐Kwiatkowska Poland 10 149 0.6× 34 0.3× 88 1.0× 60 1.1× 8 0.3× 39 320

Countries citing papers authored by Seong‐Bum Baek

Since Specialization
Citations

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

Fields of papers citing papers by Seong‐Bum Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong‐Bum Baek. 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 Seong‐Bum Baek. The network helps show where Seong‐Bum Baek may publish in the future.

Co-authorship network of co-authors of Seong‐Bum Baek

This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Bum Baek. A scholar is included among the top collaborators of Seong‐Bum Baek 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 Seong‐Bum Baek. Seong‐Bum Baek 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.
Go, Young Sam, et al.. (2020). Analysis of Growth Response and Gene Expression by Waterlogging Stress on B73 Maize. The Korean Journal of Crop Science. 65(2). 104–112.
2.
Kim, Sun‐Lim, Mi‐Jung Kim, Jung‐Tae Kim, et al.. (2020). Changes in Fatty Acid Composition and Phytosterol Content in Double Cropping Maize. The Korean Journal of Crop Science. 65(2). 93–103. 2 indexed citations
3.
Kim, Sun‐Lim, Mi‐Jung Kim, Yu‐Young Lee, et al.. (2018). Identification and Quantification of Phytosterols in Maize Kernel and Cob. The Korean Journal of Crop Science. 63(2). 131–139. 1 indexed citations
4.
Kim, Kil Hyun, Seungmo Lim, Yang Jae Kang, et al.. (2016). Optimization of a Virus-Induced Gene Silencing System with Soybean yellow common mosaic virus for Gene Function Studies in Soybeans. The Plant Pathology Journal. 32(2). 112–122. 17 indexed citations
5.
Kim, Kyung‐Hee, James Moon, Jae Yoon Kim, et al.. (2016). Evaluation of Maize Downy Mildew using Spreader Row Technique. Korean Journal of Crop Science. 61(1). 41–49. 5 indexed citations
6.
Kim, Jung‐Tae, et al.. (2015). Physiological and proteomic analysis of the response to drought stress in an inbred Korean maize line. Plant Omics. 8(2). 159–168. 17 indexed citations
7.
Wu, Jingni, Dong Yeol Lee, Yiming Wang, et al.. (2014). Protein profiles secreted from phylloplane of rice leaves free from cytosolic proteins: Application to study rice-Magnaporthe Oryzae interactions. Physiological and Molecular Plant Pathology. 88. 28–35. 8 indexed citations
8.
Baek, Seong‐Bum, Mi‐Ja Lee, Jong‐Nae Hyun, et al.. (2014). Purple Covered Waxy Barley(Hordeum vulgare L.) Cultivar, ‘Boanchal’. Korean Journal of Breeding Science. 46(4). 445–450. 1 indexed citations
9.
Ha, Tae Joung, Dong Won Bae, Seong‐Bum Baek, et al.. (2013). Comparative proteomics analysis of seed coat from two black colored soybean cultivars during seed development. Plant Omics. 6(6). 456–463. 14 indexed citations
10.
Kim, Jung‐Tae, et al.. (2012). Change of Total Anthocyanin Contents and Antioxidant Activities of Purple Waxy Corn (Zea mays L.) Inbred Lines and Hybrids during Grain Filling. Korean Journal of Breeding Science. 44(3). 290–300. 1 indexed citations
11.
Kim, Kee‐Jong, et al.. (2012). A new early-heading and high-yielding forage winter oat cultivar, "Chohan".. Korean Journal of Breeding Science. 39(1). 124–125. 3 indexed citations
12.
Kim, Jung‐Tae, et al.. (2009). A black waxy hybrid corn, "Heukjinjuchal" with good eating quality.. Korean Journal of Breeding Science. 41(4). 599–602. 7 indexed citations
13.
Baek, Seong‐Bum, et al.. (2009). A new six-rowed and covered barley cultivar, "Hyedang" with lodging tolerance and high-yield.. Korean Journal of Breeding Science. 41(4). 630–634. 1 indexed citations
14.
Baek, Seong‐Bum, et al.. (2007). A new early maturing and high yielding barley cultivar "Soman" for whole crop forage use.. Korean Journal of Breeding Science. 39(2). 240–241. 1 indexed citations
15.
Baek, Seong‐Bum, et al.. (2007). A ruminant-palatable hood type barley cultivar "Yuyeon" for whole-crop-forage use.. Korean Journal of Breeding Science. 39(2). 242–243. 2 indexed citations
16.
Lee, Mi‐Ja, Jong‐Chul Park, Hong‐Sik Kim, et al.. (2007). A New Colored Naked Barley Cultivar “Zasoojeongchal” with Waxy Endosperm. Korean Journal of Breeding Science. 39(2). 244–245. 3 indexed citations
17.
Baek, Seong‐Bum, et al.. (2007). A new smooth awn barley cultivar, "Wooho" suitable for whole crop forage use.. Korean Journal of Breeding Science. 39(2). 238–239. 3 indexed citations
18.
Baek, Seong‐Bum, et al.. (2006). Genotypic Variations in β-glucan Content of Barley Cultivated in Different Regions. The Korean Journal of Crop Science. 51(4). 335–339. 1 indexed citations
19.
Kim, Hong‐Sik, et al.. (2005). Genetic Diversity Measured by RAPDs in Korean Barley Germplasm Pools. The Korean Journal of Crop Science. 50(2). 131–141. 5 indexed citations
20.
Baek, Seong‐Bum, et al.. (2002). Genetic Diversity of Barley Cultivars as Revealed by SSR Masker. The Korean Journal of Crop Science. 47(5). 379–383. 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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