Hyun‐Mi Kwon

1.5k total citations
21 papers, 1.3k citations indexed

About

Hyun‐Mi Kwon is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hyun‐Mi Kwon has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Immunology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hyun‐Mi Kwon's work include Invertebrate Immune Response Mechanisms (8 papers), Neurobiology and Insect Physiology Research (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Hyun‐Mi Kwon is often cited by papers focused on Invertebrate Immune Response Mechanisms (8 papers), Neurobiology and Insect Physiology Research (6 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Hyun‐Mi Kwon collaborates with scholars based in South Korea, Sweden and China. Hyun‐Mi Kwon's co-authors include Dong‐Eun Kim, Ji-Won Park, Chan‐Hee Kim, Woon‐Seok Yeo, Hongje Jang, Dal‐Hee Min, Young‐Kwan Kim, Nam‐Chul Ha, Kyung‐Baeg Roh and Kenneth Söderhäll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Hyun‐Mi Kwon

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyun‐Mi Kwon South Korea 15 722 580 544 338 207 21 1.3k
Róbert Márkus United Kingdom 20 947 1.3× 541 0.9× 739 1.4× 433 1.3× 76 0.4× 37 1.6k
Min‐Sung Kim South Korea 16 710 1.0× 537 0.9× 349 0.6× 150 0.4× 40 0.2× 36 1.4k
Lluı̈sa Vilaplana Spain 18 113 0.2× 466 0.8× 256 0.5× 207 0.6× 183 0.9× 34 952
Florinda Jiménez-Vega Mexico 16 495 0.7× 188 0.3× 121 0.2× 98 0.3× 53 0.3× 48 797
Takashi Iwasaki Japan 16 345 0.5× 475 0.8× 272 0.5× 139 0.4× 29 0.1× 43 925
Noriaki Seki Japan 11 358 0.5× 139 0.2× 88 0.2× 60 0.2× 27 0.1× 14 680
Eiji Kotani Japan 15 268 0.4× 493 0.8× 268 0.5× 100 0.3× 49 0.2× 53 797
Andrew V. Kralicek New Zealand 18 61 0.1× 472 0.8× 450 0.8× 614 1.8× 159 0.8× 35 1.3k
Holly E. Trueman Australia 17 305 0.4× 337 0.6× 255 0.5× 91 0.3× 28 0.1× 24 1.1k
Masakatsu Kamiya Japan 16 147 0.2× 533 0.9× 47 0.1× 179 0.5× 59 0.3× 38 865

Countries citing papers authored by Hyun‐Mi Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hyun‐Mi Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyun‐Mi Kwon. 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 Hyun‐Mi Kwon. The network helps show where Hyun‐Mi Kwon may publish in the future.

Co-authorship network of co-authors of Hyun‐Mi Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun‐Mi Kwon. A scholar is included among the top collaborators of Hyun‐Mi Kwon 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 Hyun‐Mi Kwon. Hyun‐Mi Kwon 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.
Kim, Sehee, Hyun‐Mi Kwon, Yong‐Jun Kwon, et al.. (2022). Simple Saliva Sample Collection for the Detection of SARS-CoV-2 Variants Compared With Nasopharyngeal Swab Sample. Archives of Pathology & Laboratory Medicine. 146(12). 1435–1440. 1 indexed citations
2.
Park, Ji Ah, Hyun‐Mi Kwon, Youn Soo Choi, et al.. (2018). Role of Stem Cell–Like Memory T Cells in Systemic Lupus Erythematosus. Arthritis & Rheumatology. 70(9). 1459–1469. 27 indexed citations
3.
Yi, Joo Mi, Eun‐Jin Kang, Hyun‐Mi Kwon, et al.. (2017). Epigenetically altered miR-1247 functions as a tumor suppressor in pancreatic cancer. Oncotarget. 8(16). 26600–26612. 23 indexed citations
4.
Kwon, Hyun‐Mi, Eun‐Jin Kang, Keunsoo Kang, et al.. (2017). Combinatorial effects of an epigenetic inhibitor and ionizing radiation contribute to targeted elimination of pancreatic cancer stem cell. Oncotarget. 8(51). 89005–89020. 24 indexed citations
5.
Yi, Joo Mi, Hyun‐Mi Kwon, Eun‐Jin Kang, & Kwangmo Yang. (2017). Abstract LB-227: Combined treatment with radiation and epigenetic regulation improve to targeting cancer stem cells in pancreatic cancer. Cancer Research. 77(13_Supplement). LB–227. 1 indexed citations
6.
8.
Kwon, Hyun‐Mi, et al.. (2011). FRET-based probing to gain direct information on siRNA sustainability in live cells: Asymmetric degradation of siRNA strands. Molecular BioSystems. 7(7). 2110–2113. 25 indexed citations
9.
Gwak, Jungsug, et al.. (2010). Oligodeoxyribozymes That Cleave β-Catenin Messenger RNA Inhibit Growth of Colon Cancer Cells via Reduction of β-Catenin Response Transcription. Molecular Cancer Therapeutics. 9(6). 1894–1902. 14 indexed citations
10.
Park, Sun Hee, Rui Jiang, Shunfu Piao, et al.. (2010). Structural and Functional Characterization of a Highly Specific Serpin in the Insect Innate Immunity. Journal of Biological Chemistry. 286(2). 1567–1575. 27 indexed citations
11.
Jang, Hongje, Young‐Kwan Kim, Hyun‐Mi Kwon, et al.. (2010). A Graphene‐Based Platform for the Assay of Duplex‐DNA Unwinding by Helicase. Angewandte Chemie. 122(33). 5839–5843. 50 indexed citations
12.
Yu, Yang, Ji-Won Park, Hyun‐Mi Kwon, et al.. (2010). Diversity of Innate Immune Recognition Mechanism for Bacterial Polymeric meso-Diaminopimelic Acid-type Peptidoglycan in Insects. Journal of Biological Chemistry. 285(43). 32937–32945. 62 indexed citations
13.
Jang, Hongje, Young‐Kwan Kim, Hyun‐Mi Kwon, et al.. (2010). A Graphene‐Based Platform for the Assay of Duplex‐DNA Unwinding by Helicase. Angewandte Chemie International Edition. 49(33). 5703–5707. 222 indexed citations
14.
Jiang, Rui, Eun-Hye Kim, Hyun‐Mi Kwon, et al.. (2009). Three Pairs of Protease-Serpin Complexes Cooperatively Regulate the Insect Innate Immune Responses. Journal of Biological Chemistry. 284(51). 35652–35658. 90 indexed citations
15.
Roh, Kyung‐Baeg, Chan‐Hee Kim, Hanna Lee, et al.. (2009). Proteolytic Cascade for the Activation of the Insect Toll Pathway Induced by the Fungal Cell Wall Component. Journal of Biological Chemistry. 284(29). 19474–19481. 136 indexed citations
17.
Buchon, Nicolas, Mickaël Poidevin, Hyun‐Mi Kwon, et al.. (2009). A single modular serine protease integrates signals from pattern-recognition receptors upstream of the Drosophila Toll pathway. Proceedings of the National Academy of Sciences. 106(30). 12442–12447. 168 indexed citations
18.
Kwon, Hyun‐Mi. (2009). Recombinant Mannose-binding Lectin Protein and Anti-Mannose-binding Lectin Polyclonal Antibody Production. Journal of Life Science. 19(2). 284–288.
19.
Kim, Chan‐Hee, Hyun‐Mi Kwon, Ji-Won Park, et al.. (2008). Molecular Control of Phenoloxidase-induced Melanin Synthesis in an Insect. Journal of Biological Chemistry. 283(37). 25316–25323. 196 indexed citations
20.
Kim, Chan‐Hee, Su-Jin Kim, Hyun‐Mi Kwon, et al.. (2008). A Three-step Proteolytic Cascade Mediates the Activation of the Peptidoglycan-induced Toll Pathway in an Insect. Journal of Biological Chemistry. 283(12). 7599–7607. 137 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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