Hong S. Moon

657 total citations
16 papers, 447 citations indexed

About

Hong S. Moon is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Hong S. Moon has authored 16 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 13 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in Hong S. Moon's work include Genetically Modified Organisms Research (10 papers), CRISPR and Genetic Engineering (8 papers) and Plant tissue culture and regeneration (6 papers). Hong S. Moon is often cited by papers focused on Genetically Modified Organisms Research (10 papers), CRISPR and Genetic Engineering (8 papers) and Plant tissue culture and regeneration (6 papers). Hong S. Moon collaborates with scholars based in United States, Canada and France. Hong S. Moon's co-authors include C. Neal Stewart, Suzanne I. Warwick, Charles Kwit, Matthew D. Halfhill, David D. Fang, Paul L. Raymer, Yi Li, Christopher D. Delhom, Shigetoshi Eda and David W. Ow and has published in prestigious journals such as PLoS ONE, Molecular Ecology and Trends in biotechnology.

In The Last Decade

Hong S. Moon

16 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong S. Moon United States 13 346 304 88 65 25 16 447
S. Sowa Poland 11 292 0.8× 249 0.8× 42 0.5× 26 0.4× 15 0.6× 40 380
Pierluigi Barone United States 13 411 1.2× 441 1.5× 97 1.1× 49 0.8× 21 0.8× 17 586
Shutang Zhao China 17 539 1.6× 522 1.7× 29 0.3× 24 0.4× 20 0.8× 40 711
Heng Zhong United States 14 485 1.4× 532 1.8× 163 1.9× 30 0.5× 46 1.8× 17 633
Shuiqing Song China 11 559 1.6× 312 1.0× 41 0.5× 10 0.2× 15 0.6× 15 606
Ken-ichi Konagaya Japan 12 308 0.9× 289 1.0× 67 0.8× 29 0.4× 21 0.8× 28 414
Oumaya Bouchabké‐Coussa France 8 555 1.6× 390 1.3× 45 0.5× 35 0.5× 16 0.6× 13 680
Haiwei Lu United States 12 207 0.6× 252 0.8× 28 0.3× 29 0.4× 20 0.8× 21 343
Nathalie Ladouce France 13 402 1.2× 451 1.5× 59 0.7× 33 0.5× 20 0.8× 17 632
Xinhui Nie China 18 745 2.2× 243 0.8× 9 0.1× 57 0.9× 22 0.9× 45 844

Countries citing papers authored by Hong S. Moon

Since Specialization
Citations

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

Fields of papers citing papers by Hong S. Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong S. Moon. 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 Hong S. Moon. The network helps show where Hong S. Moon may publish in the future.

Co-authorship network of co-authors of Hong S. Moon

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

All Works

16 of 16 papers shown
1.
Kim, Hee Jin, Doug J. Hinchliffe, Barbara A. Triplett, et al.. (2015). Phytohormonal Networks Promote Differentiation of Fiber Initials on Pre-Anthesis Cotton Ovules Grown In Vitro and In Planta. PLoS ONE. 10(4). e0125046–e0125046. 26 indexed citations
2.
Millwood, Reginald J., Hong S. Moon, Charleson R. Poovaiah, et al.. (2015). Engineered selective plant male sterility through pollen‐specific expression of theEcoRIrestriction endonuclease. Plant Biotechnology Journal. 14(5). 1281–1290. 12 indexed citations
3.
Kim, Hee Yeon, Yuhong Tang, Hong S. Moon, Christopher D. Delhom, & David D. Fang. (2013). Functional analyses of cotton (Gossypium hirsutum L.) immature fiber (im) mutant infer that fiber cell wall development is associated with stress responses. BMC Genomics. 14(1). 889–889. 36 indexed citations
4.
Kim, Hee Jin, Hong S. Moon, Christopher D. Delhom, Linghe Zeng, & David D. Fang. (2012). Molecular markers associated with the immature fiber (im) gene affecting the degree of fiber cell wall thickening in cotton (Gossypium hirsutum L.). Theoretical and Applied Genetics. 126(1). 23–31. 22 indexed citations
5.
Zhao, Nan, Hong S. Moon, Jeremy Kapteyn, et al.. (2012). A SABATH Methyltransferase from the moss Physcomitrella patens catalyzes S-methylation of thiols and has a role in detoxification. Phytochemistry. 81. 31–41. 30 indexed citations
6.
Moon, Hong S., Laura L. Abercrombie, Shigetoshi Eda, et al.. (2011). Transgene excision in pollen using a codon optimized serine resolvase CinH-RS2 site-specific recombination system. Plant Molecular Biology. 75(6). 621–631. 43 indexed citations
7.
Kwit, Charles, Hong S. Moon, Suzanne I. Warwick, & C. Neal Stewart. (2011). Transgene introgression in crop relatives: molecular evidence and mitigation strategies. Trends in biotechnology. 29(6). 284–293. 75 indexed citations
8.
Kwit, Charles, Hong S. Moon, Suzanne I. Warwick, & C. Neal Stewart. (2011). Transgene introgression in crop relatives: molecular evidence and mitigation strategies. Trends Biotechnol. 5 indexed citations
9.
Moon, Hong S., et al.. (2010). FLP/FRT Recombination from Yeast: Application of a Two Gene Cassette Scheme as an Inducible System in Plants. Sensors. 10(9). 8526–8535. 10 indexed citations
10.
Moon, Hong S., et al.. (2010). Sustainable Use of Biotechnology for Bioenergy Feedstocks. Environmental Management. 46(4). 531–538. 13 indexed citations
11.
Moon, Hong S., Shigetoshi Eda, Arnold M. Saxton, David W. Ow, & C. Neal Stewart. (2010). An efficient and rapid transgenic pollen screening and detection method using flow cytometry. Biotechnology Journal. 6(1). 118–123. 18 indexed citations
12.
Moon, Hong S., Yi Li, & C. Neal Stewart. (2009). Keeping the genie in the bottle: transgene biocontainment by excision in pollen. Trends in biotechnology. 28(1). 3–8. 39 indexed citations
13.
Millwood, Reginald J., Hong S. Moon, Matthew D. Halfhill, et al.. (2009). Genetic load and transgenic mitigating genes in transgenic Brassica rapa (field mustard) × Brassica napus (oilseed rape) hybrid populations. BMC Biotechnology. 9(1). 93–93. 30 indexed citations
14.
Moon, Hong S., et al.. (2007). Characterization of directly transformed weedy Brassica rapa and introgressed B. rapa with Bt cry1Ac and gfp genes. Plant Cell Reports. 26(7). 1001–1010. 18 indexed citations
15.
Moon, Hong S., Matthew D. Halfhill, Laura Hudson, Reginald J. Millwood, & C. Neal Stewart. (2006). Expression of green fluorescent protein in pollen of oilseed rape (Brassica napus L.) and its utility for assessing pollen movement in the field. Biotechnology Journal. 1(10). 1147–1152. 9 indexed citations
16.
Halfhill, Matthew D., J. P. Sutherland, Hong S. Moon, et al.. (2005). Growth, productivity, and competitiveness of introgressed weedy Brassica rapa hybrids selected for the presence of Bt cry1Ac and gfp transgenes. Molecular Ecology. 14(10). 3177–3189. 61 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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