Mi‐Sun Kwon

617 total citations
9 papers, 506 citations indexed

About

Mi‐Sun Kwon is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Mi‐Sun Kwon has authored 9 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Mi‐Sun Kwon's work include Microtubule and mitosis dynamics (5 papers), Ubiquitin and proteasome pathways (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Mi‐Sun Kwon is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Ubiquitin and proteasome pathways (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Mi‐Sun Kwon collaborates with scholars based in South Korea and Japan. Mi‐Sun Kwon's co-authors include Tsutomu Nakayama, Yasuyuki Suzuki, Shigenori Kumazawa, Tetsuya Hori, Masahiro Okada, Tatsuo Fukagawa, Hyun‐Sook Lee, Tatsuya Kato, Jaewon Min and Enoch Y. Park and has published in prestigious journals such as The Journal of Cell Biology, Journal of Agricultural and Food Chemistry and Molecular Biology of the Cell.

In The Last Decade

Mi‐Sun Kwon

9 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mi‐Sun Kwon South Korea	7	232	196	187	130	117	9	506
Jianyong Zhang China	11	177 0.8×	126 0.6×	129 0.7×	111 0.9×	46 0.4×	28	499
Leone D’Amico Italy	12	237 1.0×	175 0.9×	246 1.3×	161 1.2×	41 0.4×	19	595
M.E. Cawood South Africa	7	103 0.4×	102 0.5×	340 1.8×	82 0.6×	116 1.0×	11	460
Emre Sevindik Türkiye	11	97 0.4×	187 1.0×	257 1.4×	152 1.2×	30 0.3×	79	443
Tanya Ivanova Bulgaria	10	218 0.9×	134 0.7×	137 0.7×	62 0.5×	65 0.6×	37	505
Champa Wijekoon Canada	10	165 0.7×	81 0.4×	224 1.2×	69 0.5×	75 0.6×	30	457
Yousef Hamidoghli Iran	10	164 0.7×	98 0.5×	271 1.4×	118 0.9×	30 0.3×	37	418
Sung‐Yong Hong South Korea	11	292 1.3×	158 0.8×	421 2.3×	50 0.4×	112 1.0×	15	668
Isabel Gavidia Spain	12	346 1.5×	105 0.5×	310 1.7×	36 0.3×	58 0.5×	23	575
Hisato Kunitake Japan	17	668 2.9×	112 0.6×	692 3.7×	138 1.1×	127 1.1×	110	975

Countries citing papers authored by Mi‐Sun Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Mi‐Sun Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Lee, Su Hyun, et al.. (2025). Kinesin‐like protein KIF 18 A is required for faithful coordination of chromosome congression with cytokinesis. FEBS Journal. 292(15). 3910–3925. 1 indexed citations

Kwon, Mi‐Sun, Jennifer Lee, Jaewon Min, et al.. (2019). Brca2 abrogation engages with the alternative lengthening of telomeres via break‐induced replication. FEBS Journal. 286(10). 1841–1858. 15 indexed citations

Kwon, Mi‐Sun, et al.. (2017). HDAC2/3 binding and deacetylation of BubR1 initiates spindle assembly checkpoint silencing. FEBS Journal. 284(23). 4035–4050. 11 indexed citations

Kwon, Mi‐Sun, Jaewon Min, Junho Lee, et al.. (2016). Paradoxical delay of senescence upon depletion of BRCA2 in telomerase‐deficient worms. FEBS Open Bio. 6(10). 1016–1024. 4 indexed citations

Lee, Hae‐Ock, Eunhee Choi, Yoo‐Kyung Lee, et al.. (2013). Loss of BubR1 acetylation causes defects in spindle assembly checkpoint signaling and promotes tumor formation. The Journal of Cell Biology. 202(2). 295–309. 42 indexed citations

Kwon, Mi‐Sun, Tetsuya Hori, Masahiro Okada, & Tatsuo Fukagawa. (2007). CENP-C Is Involved in Chromosome Segregation, Mitotic Checkpoint Function, and Kinetochore Assembly. Molecular Biology of the Cell. 18(6). 2155–2168. 102 indexed citations

Park, Enoch Y., et al.. (2007). Enhanced production of secretory β1,3-N-acetylglucosaminyltransferase 2 fusion protein into hemolymph of Bombyx mori larvae using recombinant BmNPV bacmid integrated signal sequence. Journal of Biotechnology. 129(4). 681–688. 22 indexed citations

Brust‐Mascher, Ingrid, Gul Civelekoglu‐Scholey, Mi‐Sun Kwon, Alex Mogilner, & Jonathan M. Scholey. (2004). Model for anaphase B: Role of three mitotic motors in a switch from poleward flux to spindle elongation - eScholarship. 101(45). 15938–15943. 11 indexed citations

Kumazawa, Shigenori, et al.. (2001). Antioxidant Activity of Polyphenols in Carob Pods. Journal of Agricultural and Food Chemistry. 50(2). 373–377. 298 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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