Misun Won

3.5k citations
99 papers · 2.1k · h-index 26

Impact in

Papers in

    • Fungal and yeast genetics research 13
    • Ubiquitin and proteasome pathways 9
    • Cell death mechanisms and regulation 9
    • ATP Synthase and ATPases Research 6
    • Protein Kinase Regulation and GTPase Signaling 5
    • Cancer, Hypoxia, and Metabolism 19

Misun Won

94 papers receiving 2.0k citations

Peers

Misun Won
Comparison fields: 5 of 132
  • Cancer Research 504
  • Toxicology 75
  • Biotechnology 167
  • Biomaterials 219
  • Molecular Biology 1.1k
Replace Li‐Ping Sun with:
Li‐Ping Sun China
Hui‐Fen Liao Taiwan
Shu‐Fen Peng Taiwan
Arun Bhardwaj United States
Shenghua Zhang China
Kriengsak Lirdprapamongkol Thailand
Johan van Meerloo Netherlands
Yongli Bao China
Hong‐Chun Liu China
Misun Won relative to Li‐Ping Sun China Li‐Ping Sun's profile →
Citations per field
00.5×1.5×2.3×
Li‐Ping Sun · 1×
Citations per year

Countries citing papers authored by Misun Won

Since Specialization
Citations

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

Fields of papers citing papers by Misun Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Misun Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Misun Won Line = papers co-authored together Misun Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015144
2 2010129
3 201389
4 200977
5 201773
6 200966
7 200863
8 201361
9 201658
10 201257
11 200951
12 201646
13 201045
14 200844
15 201642
16 201739
17 201437
18 202033
19 201533
20 201532

About Misun Won

Misun Won is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Biotechnology, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (19 papers), Fungal and yeast genetics research (13 papers), Ubiquitin and proteasome pathways (9 papers), Cell death mechanisms and regulation (9 papers), ATP Synthase and ATPases Research (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Listeria monocytogenes in Food Safety (5 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Cancer Research (504 citations), Toxicology (75 citations), Biotechnology (167 citations), Biomaterials (219 citations) and Molecular Biology (1.1k citations). Misun Won has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyung Bin Song, Kyung‐Sook Chung, Hyun Seung Ban, Kyeong Lee, Bo‐Kyung Kim, Joo‐Young Im, Hyun‐Ju Yang, Ji-Hyeon Lee, Song‐Kyu Park and Jiwon Ahn. Their work appears in journals such as Biochemical and Biophysical Research Communications, Experimental & Molecular Medicine, European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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