Young-Moo Choo

719 total citations
18 papers, 513 citations indexed

About

Young-Moo Choo is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Genetics. According to data from OpenAlex, Young-Moo Choo has authored 18 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Insect Science and 7 papers in Genetics. Recurrent topics in Young-Moo Choo's work include Neurobiology and Insect Physiology Research (10 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Insect Utilization and Effects (3 papers). Young-Moo Choo is often cited by papers focused on Neurobiology and Insect Physiology Research (10 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Insect Utilization and Effects (3 papers). Young-Moo Choo collaborates with scholars based in United States, South Korea and Brazil. Young-Moo Choo's co-authors include Walter Leal Filho, Pingxi Xu, Carlos Ueira‐Vieira, Julien Pelletier, Kamlesh R. Chauhan, Fangfang Zeng, W. Andy Tao, Georg Vogler, Anton Iliuk and Rolf Bodmer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Young-Moo Choo

17 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young-Moo Choo United States 10 310 286 160 139 104 18 513
Beatriz P. Settembrini Argentina 13 139 0.4× 155 0.5× 88 0.6× 102 0.7× 41 0.4× 28 365
Xiaomu Qiao China 11 79 0.3× 213 0.7× 47 0.3× 161 1.2× 102 1.0× 19 388
Andrea Bednářová Czechia 14 165 0.5× 274 1.0× 130 0.8× 196 1.4× 182 1.8× 23 594
Huahua Sun China 12 114 0.4× 316 1.1× 76 0.5× 267 1.9× 86 0.8× 25 436
Pablo Reeb Argentina 9 98 0.3× 94 0.3× 51 0.3× 53 0.4× 108 1.0× 28 349
Jiali Liu China 14 114 0.4× 248 0.9× 61 0.4× 195 1.4× 131 1.3× 37 449
Tomo Kita Japan 9 105 0.3× 177 0.6× 46 0.3× 83 0.6× 88 0.8× 18 293
K. C. Park South Korea 8 131 0.4× 176 0.6× 73 0.5× 50 0.4× 91 0.9× 10 402
Herbert Venthur Chile 14 362 1.2× 343 1.2× 187 1.2× 160 1.2× 132 1.3× 31 602
Yong Xiao China 11 203 0.7× 204 0.7× 123 0.8× 119 0.9× 58 0.6× 26 342

Countries citing papers authored by Young-Moo Choo

Since Specialization
Citations

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

Fields of papers citing papers by Young-Moo Choo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Moo Choo. 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 Young-Moo Choo. The network helps show where Young-Moo Choo may publish in the future.

Co-authorship network of co-authors of Young-Moo Choo

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Moo Choo. A scholar is included among the top collaborators of Young-Moo Choo 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 Young-Moo Choo. Young-Moo Choo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Choo, Young-Moo, et al.. (2024). Functional Comparison of Three Chitinases from Symbiotic Bacteria of Entomopathogenic Nematodes. Toxins. 16(1). 26–26. 2 indexed citations
2.
Hwang, Chung Eun, et al.. (2024). Immunostimulatory Effect of Edible Bird’s Nest via MAPKs and NF-ĸB Signaling Pathway in RAW 264.7 Macrophages. Journal of the Korean Society of Food Science and Nutrition. 53(11). 1135–1142.
3.
Xu, Pingxi, Young-Moo Choo, & Walter Leal Filho. (2022). Odorant inhibition in mosquito olfaction mediated by inverse agonists. Biochemical and Biophysical Research Communications. 609. 156–162. 4 indexed citations
4.
Xu, Pingxi, et al.. (2022). Mosquito odorant receptor sensitive to natural spatial repellents and inhibitory compounds. Insect Biochemistry and Molecular Biology. 144. 103763–103763. 9 indexed citations
5.
Xu, Pingxi, et al.. (2022). Mosquito Odorant Receptor Sensitive to Natural Spatial Repellents and Inhibitory Compounds. SSRN Electronic Journal. 1 indexed citations
6.
Choo, Young-Moo, et al.. (2019). FERMENTED ORIENTAL MEDICINAL INSECT EXTRACT HAS A SYNERGISTIC EFFECT ON INHIBITING TGF-ß1- OR H2O2-INDUCED HEPATIC FIBROGENESIS IN LX-2 AND HEPG2 CELLS. Acta Poloniae Pharmaceutica - Drug Research. 76(3). 599–603. 1 indexed citations
7.
Park, In-Sun, Mihee Kim, Bora Kwon, et al.. (2018). The medicinal mushroom Auricularia auricula - judae (Bull.) extract has antioxidant activity and promotes procollagen biosynthesis in HaCaT cells. Natural Product Research. 33(22). 3283–3286. 17 indexed citations
8.
Choo, Young-Moo, et al.. (2018). Anti-Pigmentation Effects of Eight Phellinus linteus-Fermented Traditional Crude Herbal Extracts on Brown Guinea Pigs of Ultraviolet B-Induced Hyperpigmentation. Journal of Microbiology and Biotechnology. 28(3). 375–380. 9 indexed citations
9.
Choo, Young-Moo, et al.. (2018). The Chaenomeles sinensis Extract has the Potential to Exhibit Antioxidant Activity or Attenuate Liver Damage. Natural Product Communications. 13(8). 1 indexed citations
10.
Choo, Young-Moo, et al.. (2018). Reverse chemical ecology approach for the identification of an oviposition attractant forCulex quinquefasciatus. Proceedings of the National Academy of Sciences. 115(4). 714–719. 67 indexed citations
11.
Yu, Kang-Yeol, Mihee Kim, Bora Kwon, et al.. (2018). The Extract of Edible Alga Petalonia binghamiae Suppresses TGF-β1-or H2O2-Induced Liver Fibrogenesis in LX-2 and HepG2 Cells. Natural Product Communications. 13(6). 1 indexed citations
12.
Yin, Jiao, Young-Moo Choo, Hongxia Duan, & Walter Leal Filho. (2015). Selectivity of odorant-binding proteins from the southern house mosquito tested against physiologically relevant ligands. Frontiers in Physiology. 6. 56–56. 27 indexed citations
13.
Xu, Pingxi, et al.. (2014). Mosquito odorant receptor for DEET and methyl jasmonate. Proceedings of the National Academy of Sciences. 111(46). 16592–16597. 118 indexed citations
14.
Xu, Pingxi, et al.. (2013). RNAi-based demonstration of direct link between specific odorant receptors and mosquito oviposition behavior. Insect Biochemistry and Molecular Biology. 43(10). 916–923. 37 indexed citations
15.
Choo, Young-Moo, et al.. (2013). Identification and Characterization of an Antennae-Specific Aldehyde Oxidase from the Navel Orangeworm. PLoS ONE. 8(6). e67794–e67794. 40 indexed citations
16.
Filho, Walter Leal, et al.. (2013). Differential expression of olfactory genes in the southern house mosquito and insights into unique odorant receptor gene isoforms. Proceedings of the National Academy of Sciences. 110(46). 18704–18709. 85 indexed citations
17.
Choo, Young-Moo, Georg Vogler, Anton Iliuk, et al.. (2012). Regulation of parkin and PINK1 by neddylation. Human Molecular Genetics. 21(11). 2514–2523. 60 indexed citations
18.
Xu, Pingxi, Stephen F. Garczynski, Zainulabeuddin Syed, et al.. (2012). Moth Sex Pheromone Receptors and Deceitful Parapheromones. PLoS ONE. 7(7). e41653–e41653. 34 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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