Misun Won

3.3k citations
94 papers · 2.7k · h-index 26

Impact in

Papers in

    • Cancer, Hypoxia, and Metabolism 16
    • Cell death mechanisms and regulation 11
    • Fungal and yeast genetics research 10
    • Protein Kinase Regulation and GTPase Signaling 7

Misun Won

90 papers receiving 2.6k citations

Peers

Misun Won
Comparison fields: 5 of 107
  • Cancer Research 419
  • Biotechnology 131
  • Biomaterials 222
  • Molecular Biology 1.1k
  • Aging 27
Replace Rama Rao Malla with:
Rama Rao Malla India
Yoshiyuki Hashimoto Japan
Karel Souček Czechia
Joong Sup Shim Macao
Pei‐Wen Hsiao Taiwan
Seung Hyun Oh South Korea
Sathees C. Raghavan India
Yuchao Gu China
Takao Kataoka Japan
Misun Won relative to Rama Rao Malla India Rama Rao Malla's profile →
Citations per field
00.5×2×4×6.0×
Rama Rao Malla · 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 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010577
2 2015144
3 2010131
4 201395
5 200978
6 201777
7 200968
8 200863
9 201361
10 201659
11 201257
12 200954
13 201651
14 200845
15 201045
16 201642
17 201741
18 201440
19 202036
20 201533

About Misun Won

Misun Won is a scholar working on Cancer Research, Molecular Biology, Biotechnology, Oncology and Cell Biology, having authored 94 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (16 papers), Cell death mechanisms and regulation (11 papers), Fungal and yeast genetics research (10 papers), Synthesis and biological activity (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Cancer-related Molecular Pathways (6 papers), Microtubule and mitosis dynamics (5 papers) and Nanocomposite Films for Food Packaging (5 papers). The work is most often cited by research in Cancer Research (419 citations), Biotechnology (131 citations), Biomaterials (222 citations), Molecular Biology (1.1k citations) and Aging (27 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, Bo‐Kyung Kim, Kyeong Lee, 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, APOPTOSIS 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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