Hyaeyeong Kim

821 total citations
8 papers, 629 citations indexed

About

Hyaeyeong Kim is a scholar working on Molecular Biology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Hyaeyeong Kim has authored 8 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Biomedical Engineering and 0 papers in Infectious Diseases. Recurrent topics in Hyaeyeong Kim's work include RNA and protein synthesis mechanisms (5 papers), RNA Interference and Gene Delivery (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Hyaeyeong Kim is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA Interference and Gene Delivery (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Hyaeyeong Kim collaborates with scholars based in United States, Netherlands and South Korea. Hyaeyeong Kim's co-authors include Samie R. Jaffrey, Xing Li, Jiahui Wu, Wenjiao Song, Jared D. Moon, Markus Hirsch, Grigory S. Filonov, Jacob L. Litke, Moonkyoung Jeong and Jiyoung Kim and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

Hyaeyeong Kim

8 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyaeyeong Kim United States	8	562	119	59	41	38	8	629
Lena Voith von Voithenberg Germany	12	364 0.6×	61 0.5×	47 0.8×	42 1.0×	18 0.5×	19	517
Ana Gargaun Canada	9	247 0.4×	163 1.4×	43 0.7×	34 0.8×	66 1.7×	12	415
Amir Abdolahzadeh Canada	6	494 0.9×	80 0.7×	17 0.3×	25 0.6×	12 0.3×	9	544
David Broyles United States	11	403 0.7×	203 1.7×	108 1.8×	60 1.5×	22 0.6×	21	507
Markus Hirsch Germany	9	391 0.7×	58 0.5×	16 0.3×	34 0.8×	76 2.0×	10	492
Hansol Lee South Korea	4	270 0.5×	70 0.6×	38 0.6×	27 0.7×	9 0.2×	7	357
Paulo L. Onuchic United States	6	692 1.2×	31 0.3×	22 0.4×	41 1.0×	24 0.6×	7	749
Sara Pereira United Kingdom	13	280 0.5×	114 1.0×	47 0.8×	42 1.0×	123 3.2×	19	432
Thais A. Enoki United States	12	436 0.8×	121 1.0×	16 0.3×	10 0.2×	29 0.8×	19	514
Mariya I. Meschaninova Russia	16	715 1.3×	31 0.3×	131 2.2×	34 0.8×	31 0.8×	69	792

Countries citing papers authored by Hyaeyeong Kim

Since Specialization

Citations

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

Fields of papers citing papers by Hyaeyeong Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyaeyeong Kim. 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 Hyaeyeong Kim. The network helps show where Hyaeyeong Kim may publish in the future.

Co-authorship network of co-authors of Hyaeyeong Kim

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

All Works

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8 of 8 papers shown

1.

Wu, Jiahui, Nina Svensen, Wenjiao Song, et al.. (2022). Self-Assembly of Intracellular Multivalent RNA Complexes Using Dimeric Corn and Beetroot Aptamers. Journal of the American Chemical Society. 144(12). 5471–5477. 37 indexed citations

2.

Moon, Jared D., Jiahui Wu, Sourav Dey, et al.. (2021). Naturally occurring three-way junctions can be repurposed as genetically encoded RNA-based sensors. Cell chemical biology. 28(11). 1569–1580.e4. 21 indexed citations

3.

Kim, Hyaeyeong & Samie R. Jaffrey. (2019). A Fluorogenic RNA-Based Sensor Activated by Metabolite-Induced RNA Dimerization. Cell chemical biology. 26(12). 1725–1731.e6. 38 indexed citations

4.

Wu, Jiahui, Sara Zaccara, Deepak Khuperkar, et al.. (2019). Live imaging of mRNA using RNA-stabilized fluorogenic proteins. Nature Methods. 16(9). 862–865. 89 indexed citations

5.

Li, Xing, Hyaeyeong Kim, Jacob L. Litke, Jiahui Wu, & Samie R. Jaffrey. (2019). Fluorophore‐Promoted RNA Folding and Photostability Enables Imaging of Single Broccoli‐Tagged mRNAs in Live Mammalian Cells. Angewandte Chemie International Edition. 59(11). 4511–4518. 89 indexed citations

6.

Li, Xing, Hyaeyeong Kim, Jacob L. Litke, Jiahui Wu, & Samie R. Jaffrey. (2019). Fluorophore‐Promoted RNA Folding and Photostability Enables Imaging of Single Broccoli‐Tagged mRNAs in Live Mammalian Cells. Angewandte Chemie. 132(11). 4541–4548. 7 indexed citations

7.

Song, Wenjiao, Grigory S. Filonov, Hyaeyeong Kim, et al.. (2017). Imaging RNA polymerase III transcription using a photostable RNA–fluorophore complex. Nature Chemical Biology. 13(11). 1187–1194. 205 indexed citations

8.

Lee, Junsung, Jiyoung Kim, Moonkyoung Jeong, et al.. (2015). Liposome-Based Engineering of Cells To Package Hydrophobic Compounds in Membrane Vesicles for Tumor Penetration. Nano Letters. 15(5). 2938–2944. 143 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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