Jae Koo Noh

1.2k total citations
73 papers, 915 citations indexed

About

Jae Koo Noh is a scholar working on Aquatic Science, Molecular Biology and Immunology. According to data from OpenAlex, Jae Koo Noh has authored 73 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Aquatic Science, 27 papers in Molecular Biology and 27 papers in Immunology. Recurrent topics in Jae Koo Noh's work include Aquaculture Nutrition and Growth (26 papers), Aquaculture disease management and microbiota (20 papers) and Invertebrate Immune Response Mechanisms (15 papers). Jae Koo Noh is often cited by papers focused on Aquaculture Nutrition and Growth (26 papers), Aquaculture disease management and microbiota (20 papers) and Invertebrate Immune Response Mechanisms (15 papers). Jae Koo Noh collaborates with scholars based in South Korea, Russia and Japan. Jae Koo Noh's co-authors include Jehee Lee, Dong Soo Kim, Yoon Kwon Nam, Navaneethaiyer Umasuthan, Chul Geun Kim, Young Sun Cho, Ilson Whang, Hyun Chul Kim, Jeong‐Ho Lee and S.D.N.K. Bathige and has published in prestigious journals such as PLoS ONE, Gene and Aquaculture.

In The Last Decade

Jae Koo Noh

70 papers receiving 883 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 Koo Noh South Korea 17 396 379 354 242 113 73 915
José Antonio Álvarez‐Dios Spain 17 263 0.7× 447 1.2× 262 0.7× 232 1.0× 118 1.0× 35 847
Ye Jin China 16 440 1.1× 287 0.8× 216 0.6× 206 0.9× 66 0.6× 39 920
Pallipuram Jayasankar India 20 271 0.7× 244 0.6× 509 1.4× 222 0.9× 140 1.2× 53 906
Jianxin Feng China 16 244 0.6× 361 1.0× 347 1.0× 322 1.3× 91 0.8× 34 884
Suxu Tan China 16 321 0.8× 249 0.7× 282 0.8× 222 0.9× 143 1.3× 47 908
Baolong Bao China 20 482 1.2× 228 0.6× 610 1.7× 291 1.2× 136 1.2× 78 1.3k
Hirak Kumar Barman India 16 433 1.1× 308 0.8× 262 0.7× 159 0.7× 123 1.1× 35 827
Zihao Yuan China 18 385 1.0× 222 0.6× 362 1.0× 253 1.0× 130 1.2× 60 916
Yangzhen Li China 16 267 0.7× 525 1.4× 286 0.8× 320 1.3× 62 0.5× 52 956
Quanqi Zhang China 17 223 0.6× 199 0.5× 417 1.2× 201 0.8× 77 0.7× 67 869

Countries citing papers authored by Jae Koo Noh

Since Specialization
Citations

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

Fields of papers citing papers by Jae Koo Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Koo Noh. 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 Koo Noh. The network helps show where Jae Koo Noh may publish in the future.

Co-authorship network of co-authors of Jae Koo Noh

This figure shows the co-authorship network connecting the top 25 collaborators of Jae Koo Noh. A scholar is included among the top collaborators of Jae Koo Noh 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 Koo Noh. Jae Koo Noh 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.
Nam, Bo‐Hye, Heebal Kim, Eun Mi Kim, et al.. (2021). Genotyping-by-Sequencing of the regional Pacific abalone (Haliotis discus) genomes reveals population structures and patterns of gene flow. PLoS ONE. 16(4). e0247815–e0247815. 9 indexed citations
2.
Kim, Eun Mi, et al.. (2020). Development and Genetic Diversity Analysis of Microsatellite Markers Using Next-generation Sequencing in Seriola quinqueradiata. JoLS Journal of Life Sciences. 30(3). 291–297. 2 indexed citations
3.
Noh, Jae Koo, et al.. (2020). Classification of Takifugu rubripes, T. chinensis and T. pseudommus by genotyping-by-sequencing. PLoS ONE. 15(8). e0236483–e0236483. 9 indexed citations
4.
Noh, Jae Koo, et al.. (2019). Development of Species-Specific PCR Primers for the Rapid and Simultaneous Identification of the Six Species of Genus Takifugu. Development & Reproduction. 23(4). 367–375. 4 indexed citations
5.
Kong, Hee Jeong, Ju-Won Kim, Hyunchul Kim, et al.. (2019). The Regulatory Region of Muscle-Specific Alpha Actin 1 Drives Fluorescent Protein Expression in Olive Flounder Paralichthys olivaceus. Development & Reproduction. 23(1). 55–61. 1 indexed citations
6.
Shin, Younhee, Myunghee Jung, Ga‐Hee Shin, et al.. (2018). First draft genome sequence of the rock bream in the family Oplegnathidae. Scientific Data. 5(1). 180234–180234. 5 indexed citations
7.
Umasuthan, Navaneethaiyer, et al.. (2016). A thioredoxin domain-containing protein 12 from black rockfish Sebastes schlegelii : Responses to immune challenges and protection from apoptosis against oxidative stress. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 185-186. 29–37. 13 indexed citations
9.
Lee, Young‐Mee, Jeongho Lee, Jae Koo Noh, et al.. (2015). Temporal expression analyses of pancreatic and gastric digestive enzymes during early development of the olive flounder (Paralichthys olivaceus). Aquaculture Research. 48(3). 979–989. 6 indexed citations
11.
Elvitigala, Don Anushka Sandaruwan, G.I. Godahewa, Navaneethaiyer Umasuthan, et al.. (2015). Molecular characterization and comparative expression analysis of two teleostean pro-inflammatory cytokines, IL-1β and IL-8, from Sebastes schlegeli. Gene. 575(2). 732–742. 44 indexed citations
13.
Yang, Hyun, Jae Koo Noh, Hyun Chul Kim, et al.. (2014). Expression of Vimentin Intermediate Filament for Vascular Development in Olive Flounder (Paralichthys olivaceus). PubMed. 18(2). 107–115. 5 indexed citations
14.
Lee, Young‐Mee, Jeong‐Ho Lee, Jae Koo Noh, et al.. (2013). The Expression Analysis of Complement Component C3 during Early Developmental Stages in Olive Flounder (Paralichthys olivaceus). PubMed. 17(4). 311–319. 13 indexed citations
15.
Umasuthan, Navaneethaiyer, Ilson Whang, Kasthuri Saranya Revathy, et al.. (2012). A teleostean angiotensinogen from Oplegnathus fasciatus responses to immune and injury challenges. Fish & Shellfish Immunology. 32(5). 922–928. 5 indexed citations
16.
Park, Jong‐Won, Young‐Mee Lee, Jae Koo Noh, et al.. (2012). The Morphological Study of Wild and Farmed Olive Flounder (Paralichthys olivaceus): The Role of Indirect Selection within and between Populations. PubMed. 16(4). 309–314. 5 indexed citations
17.
Lee, Jeong‐Ho, Jae Koo Noh, Hyun Chul Kim, et al.. (2010). Molecular Characterization of the Ocular EST Clones from the Olive Flounder, Paralichthys olivaceus. 14(2). 107–113. 3 indexed citations
18.
Noh, Jae Koo, Hyun Chul Kim, Jeong‐Ho Lee, et al.. (2008). Genetic Variability of Farmed Olive Flounder (Paralichthys olivaceus) Populations Managed with no Consideration of Genetic Diversity. Korean Journal of Ichthyology. 20(4). 248–254. 1 indexed citations
19.
Nam, Yoon Kwon, et al.. (2001). Accelerated Growth, Gigantism and Likely Sterility in Autotransgenic Triploid Mud Loach Misgurnus mizolepis. Journal of the World Aquaculture Society. 32(4). 353–363. 18 indexed citations
20.
Nam, Yoon Kwon, et al.. (2001). Dramatically accelerated growth and extraordinary gigantism of transgenic mud loach Misgurnus mizolepis. Transgenic Research. 10(4). 353–362. 150 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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