Jae-Bong Lee

2.0k total citations
113 papers, 1.2k citations indexed

About

Jae-Bong Lee is a scholar working on Global and Planetary Change, Genetics and Molecular Biology. According to data from OpenAlex, Jae-Bong Lee has authored 113 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Global and Planetary Change, 26 papers in Genetics and 24 papers in Molecular Biology. Recurrent topics in Jae-Bong Lee's work include Marine and fisheries research (45 papers), Marine Bivalve and Aquaculture Studies (25 papers) and Genetic and phenotypic traits in livestock (20 papers). Jae-Bong Lee is often cited by papers focused on Marine and fisheries research (45 papers), Marine Bivalve and Aquaculture Studies (25 papers) and Genetic and phenotypic traits in livestock (20 papers). Jae-Bong Lee collaborates with scholars based in South Korea, United States and Singapore. Jae-Bong Lee's co-authors include Chang Ik Zhang, Suam Kim, Jai‐Ho Oh, Min Soo Kim, Ji-Hyun Yun, Jin‐Woo Bae, Mi-Ja Jung, Joon Yong Kim, Pil Soo Kim and Tae Woong Whon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Virology.

In The Last Decade

Jae-Bong Lee

100 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae-Bong Lee South Korea 17 491 374 296 173 172 113 1.2k
Gaetano Catanese Spain 18 379 0.8× 411 1.1× 402 1.4× 108 0.6× 205 1.2× 53 896
Delphine Lallias France 17 292 0.6× 693 1.9× 453 1.5× 82 0.5× 207 1.2× 37 1.1k
Mudjekeewis D. Santos Philippines 22 320 0.7× 536 1.4× 533 1.8× 293 1.7× 262 1.5× 82 1.4k
Stein Mortensen Norway 19 500 1.0× 317 0.8× 122 0.4× 184 1.1× 49 0.3× 44 915
Shu Xiao China 20 580 1.2× 325 0.9× 217 0.7× 248 1.4× 68 0.4× 71 1.1k
Francesca Carella Italy 20 472 1.0× 522 1.4× 140 0.5× 209 1.2× 38 0.2× 62 1.2k
Wolfgang K. Vogelbein United States 28 191 0.4× 559 1.5× 354 1.2× 529 3.1× 95 0.6× 79 2.1k
Antônio Ostrensky Brazil 22 423 0.9× 842 2.3× 179 0.6× 199 1.2× 138 0.8× 114 1.5k
Bonnie L. Brown United States 20 293 0.6× 349 0.9× 290 1.0× 80 0.5× 369 2.1× 68 1.2k
Chiara Manfrin Italy 20 276 0.6× 398 1.1× 269 0.9× 298 1.7× 74 0.4× 53 1.2k

Countries citing papers authored by Jae-Bong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Bong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Bong 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 Jae-Bong Lee. The network helps show where Jae-Bong Lee may publish in the future.

Co-authorship network of co-authors of Jae-Bong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Bong Lee. A scholar is included among the top collaborators of Jae-Bong 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 Jae-Bong Lee. Jae-Bong 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.
Hong, Joon Ki, et al.. (2024). Application of deep learning with bivariate models for genomic prediction of sow lifetime productivity-related traits. Animal Bioscience. 37(4). 622–630. 1 indexed citations
2.
Lee, Sang Moo, Jae-Bong Lee, Dongwon Seo, et al.. (2024). Genome-wide association and fine-mapping analyses identify novel candidate genes affecting serum cortisol levels using imputed whole-genome sequencing data in pigs. Journal of Animal Science and Technology. 67(4). 759–772.
3.
Jo, Euna, Seung Jae Lee, Eun Kyung Choi, et al.. (2023). Chromosome-level genome assembly and annotation of the Antarctica whitefin plunderfish Pogonophryne albipinna. Scientific Data. 10(1). 891–891. 3 indexed citations
4.
5.
Lee, Jae-Bong, et al.. (2023). Genome-wide association studies to identify quantitative trait loci and positional candidate genes affecting meat quality-related traits in pigs. Journal of Animal Science and Technology. 65(6). 1194–1204. 2 indexed citations
6.
Lee, Jae-Bong, et al.. (2020). Oceanographic indicators for the occurrence of anchovy eggs inferred from generalized additive models. Fisheries and aquatic sciences. 23(1). 6 indexed citations
7.
Lee, Seung Hwan, et al.. (2020). The study on estimated breeding value and accuracy for economic traits in Gyoungnam Hanwoo cow (Korean cattle). Journal of Animal Science and Technology. 62(4). 429–437. 4 indexed citations
8.
Lee, Jae-Bong, et al.. (2017). The Age and Growth of Marbled Flounder Pseudopleuronectes yokohamae in the Coastal Waters of East Sea off Pohang. Korean Journal of Fisheries and Aquatic Sciences. 50(3). 278–286.
9.
Hong, Joon Ki, Yong Dae Jeong, Eun Seok Cho, et al.. (2017). A genome-wide association study of social genetic effects in Landrace pigs. Asian-Australasian Journal of Animal Sciences. 31(6). 784–790. 8 indexed citations
10.
Lee, Jae-Bong, Hee-Bok Park, Chae-Kyoung Yoo, et al.. (2016). Association of a missense mutation in the positional candidate gene glutamate receptor-interacting protein 1 with backfat thickness traits in pigs. Asian-Australasian Journal of Animal Sciences. 30(8). 1081–1085. 2 indexed citations
11.
Lee, Jae-Bong, Eunji Jung, Hee-Bok Park, et al.. (2014). Genome-wide association analysis to identify SNP markers affecting teat numbers in an F2 intercross population between Landrace and Korean native pigs. Molecular Biology Reports. 41(11). 7167–7173. 11 indexed citations
12.
Chang, Dong‐Ho, Jae-Bong Lee, Moon-Soo Rhee, et al.. (2013). Sunxiuqinia dokdonensis sp. nov., isolated from deep sub-seafloor sediment. The Journal of Microbiology. 51(6). 741–746. 13 indexed citations
13.
Maharani, Dyah, Hee-Bok Park, Jae-Bong Lee, et al.. (2012). Association of the gene encoding stearoyl-CoA desaturase (SCD) with fatty acid composition in an intercross population between Landrace and Korean native pigs. Molecular Biology Reports. 40(1). 73–80. 18 indexed citations
14.
Lee, Jae-Bong, et al.. (2011). Maturation and Spawning of Filefish, Stephanolepis cirrhifer in the East Sea of Korea. Korean Journal of Ichthyology. 23(2). 111–118. 1 indexed citations
15.
Kang, Sukyung, Jae-Bong Lee, Anne B. Hollowed, Nicholas A. Bond, & Suam Kim. (2010). The impact of climate changes on the distribution and abundance of mackerels in the Northwestern Pacific. 5(2). 37–37.
16.
Lee, Jong Hee, et al.. (2009). Seasonal Species Composition of Marine Organism Collected by a Shrimp Beam Trawl in Nakdong River Estuary, Korea. Korean Journal of Ichthyology. 21(3). 177–190. 1 indexed citations
17.
Lee, Jae-Bong, et al.. (2009). Fish Fauna Collected by an Otter Trawl in the Eastern Yellow Sea over the Period 1999-2001. Korean Journal of Ichthyology. 21(4). 299–306. 1 indexed citations
18.
Lee, Jae-Bong, et al.. (2005). Monitoring of the Changes of Tidal Land at Simpo Coast with Sea Surface inside Saemangeum Embankment Using Multi-temporal Satellite Image. Journal of the Korean Association of Geographic Information Studies. 8(1). 13–22. 1 indexed citations
19.
Lee, Jae-Bong, et al.. (2005). Classified Fishery Grade Using Analysis of Coastal Environmental Based on Object-Oriented Data Model. Journal of the Korean Association of Geographic Information Studies. 8(1). 40–48. 1 indexed citations
20.
Lee, Jae-Bong, et al.. (2003). Trichorhinophalangeal Syndrome Type I. Linchuang pifuke zazhi. 41(6). 801–804.

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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