Hee‐Bum Yang

632 total citations
21 papers, 420 citations indexed

About

Hee‐Bum Yang is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Hee‐Bum Yang has authored 21 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 9 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Hee‐Bum Yang's work include Plant Virus Research Studies (10 papers), Plant Disease Resistance and Genetics (6 papers) and Plant-Microbe Interactions and Immunity (6 papers). Hee‐Bum Yang is often cited by papers focused on Plant Virus Research Studies (10 papers), Plant Disease Resistance and Genetics (6 papers) and Plant-Microbe Interactions and Immunity (6 papers). Hee‐Bum Yang collaborates with scholars based in South Korea, United States and Hong Kong. Hee‐Bum Yang's co-authors include Byoung‐Cheorl Kang, Doil Choi, Won‐Hee Kang, Jin‐Kyung Kwon, Koeun Han, Ki-Taek Kim, Seungill Kim, Hee-Jin Jeong, Sungmin Kang and Molly Jahn and has published in prestigious journals such as Biosensors and Bioelectronics, Theoretical and Applied Genetics and Scientia Horticulturae.

In The Last Decade

Hee‐Bum Yang

21 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hee‐Bum Yang South Korea 12 384 105 105 42 33 21 420
Jung‐Heon Han South Korea 14 440 1.1× 150 1.4× 92 0.9× 16 0.4× 18 0.5× 31 488
A. Thabuis France 8 460 1.2× 58 0.6× 98 0.9× 29 0.7× 18 0.5× 10 467
A.M. Daubèze France 12 494 1.3× 53 0.5× 90 0.9× 35 0.8× 15 0.5× 15 507
Sung‐Hwan Jo South Korea 9 264 0.7× 120 1.1× 47 0.4× 21 0.5× 10 0.3× 19 321
I.W. Boukema Netherlands 11 363 0.9× 57 0.5× 48 0.5× 14 0.3× 27 0.8× 29 378
Chen Shifriss Israel 11 384 1.0× 167 1.6× 34 0.3× 17 0.4× 9 0.3× 26 426
Yanbi Yu United States 6 635 1.7× 96 0.9× 45 0.4× 26 0.6× 36 1.1× 7 667
Nathalie Giovinazzo France 8 299 0.8× 215 2.0× 90 0.9× 13 0.3× 63 1.9× 8 340
Defang Gan China 10 384 1.0× 271 2.6× 22 0.2× 50 1.2× 21 0.6× 16 423
Harvinder Bennypaul Canada 6 295 0.8× 114 1.1× 26 0.2× 34 0.8× 16 0.5× 16 298

Countries citing papers authored by Hee‐Bum Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Bum Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee‐Bum Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Bum Yang. A scholar is included among the top collaborators of Hee‐Bum Yang 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 Hee‐Bum Yang. Hee‐Bum Yang 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.
Yang, Hee‐Bum, et al.. (2024). Identification of Genetic Loci Associated with Bolting Time in Radish (Raphanus sativus L.) by QTL Mapping and GWAS. Agronomy. 14(11). 2700–2700. 1 indexed citations
2.
3.
Lee, Ye‐Rin, et al.. (2022). Genetic Diversity and Genome-Wide Association Study of Pumpkins (Cucurbita Moschata) Originating from East Asia. SSRN Electronic Journal. 1 indexed citations
4.
Kim, Joonyup, et al.. (2018). Genome-Wide Sequence Variation in WatermelonInbred Lines and Its Implication for Marker-AssistedBreeding. Horticultural Science and Technology. 36(2). 280–291. 10 indexed citations
5.
Han, Koeun, Hee-Jin Jeong, Hee‐Bum Yang, et al.. (2016). An ultra-high-density bin map facilitates high-throughput QTL mapping of horticultural traits in pepper (Capsicum annuum). DNA Research. 23(2). 81–91. 90 indexed citations
6.
Kim, Jin‐Hee, Do‐Sun Kim, Hye‐Eun Lee, et al.. (2016). Development of a high-throughput SNP marker set by transcriptome sequencing to accelerate genetic background selection in Brassica rapa. Horticulture Environment and Biotechnology. 57(3). 280–290. 7 indexed citations
7.
Kim, Ki-Taek, et al.. (2016). Rapid and practical molecular marker development for rind traits in watermelon. Horticulture Environment and Biotechnology. 57(4). 385–391. 24 indexed citations
8.
Yang, Hee‐Bum, et al.. (2015). Linkage Analysis of the Three Loci Determining Rind Color and Stripe Pattern in Watermelon. Horticultural Science and Technology. 33(4). 559–565. 19 indexed citations
9.
Kang, Jin‐Ho, Hee‐Bum Yang, Ki-Taek Kim, et al.. (2014). Combined use of bulked segregant analysis and microarrays reveals SNP markers pinpointing a major QTL for resistance to Phytophthora capsici in pepper. Theoretical and Applied Genetics. 127(11). 2503–2513. 47 indexed citations
10.
Kim, Jin‐Hee, Won‐Hee Kang, JeeNa Hwang, et al.. (2014). Transgenic B rassica rapa plants over‐expressing eIF(iso)4E variants show broad‐spectrum Turnip mosaic virus ( TuMV ) resistance. Molecular Plant Pathology. 15(6). 615–626. 31 indexed citations
11.
Kang, Jin‐Ho, et al.. (2014). Single Nucleotide Polymorphism Marker Discovery from Transcriptome Sequencing for Marker-assisted Backcrossing in Capsicum. Horticultural Science and Technology. 32(4). 535–543. 12 indexed citations
12.
Kim, Jin‐Hee, Won‐Hee Kang, Hee‐Bum Yang, et al.. (2013). Identification of a broad-spectrum recessive gene in Brassica rapa and molecular analysis of the eIF4E gene family to develop molecular markers. Molecular Breeding. 32(2). 385–398. 19 indexed citations
13.
Shin, Sung Chul, et al.. (2013). Application of the ASLP technology to a novel platform for rapid and noise-free multiplexed SNP genotyping. Biosensors and Bioelectronics. 54. 687–694. 8 indexed citations
14.
Yang, Hee‐Bum, et al.. (2013). Identification and inheritance of a new source of resistance against Tomato spotted wilt virus (TSWV) in Capsicum. Scientia Horticulturae. 161. 8–14. 20 indexed citations
15.
Yang, Hee‐Bum, et al.. (2011). Development and validation of L allele-specific markers in Capsicum. Molecular Breeding. 30(2). 819–829. 18 indexed citations
16.
Yang, Hee‐Bum, et al.. (2010). SNP marker development for purity test of oriental melon and melon.. Korean Journal of Breeding Science. 42(4). 397–406. 6 indexed citations
17.
Kang, Won‐Hee, Hee‐Bum Yang, Jin‐Kyung Kwon, et al.. (2010). Molecular mapping and characterization of a single dominant gene controlling CMV resistance in peppers (Capsicum annuum L.). Theoretical and Applied Genetics. 120(8). 1587–1596. 57 indexed citations
18.
Yang, Hee‐Bum, et al.. (2009). Optimization of high resolution melting analysis and discovery of single nucleotide polymorphism in Capsicum.. Horticulture Environment and Biotechnology. 50(1). 31–39. 19 indexed citations
19.
Yang, Hee‐Bum, et al.. (2009). Development of SNP markers linked to the L locus in Capsicum spp. by a comparative genetic analysis. Molecular Breeding. 24(4). 433–446. 25 indexed citations
20.
Yang, Hee‐Bum, et al.. (2008). Survey and Application of DNA Makers Linked to TSWV Resistance. Horticultural Science and Technology. 26(4). 464–470. 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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