Dasom Mun

753 citations
30 papers · 605 indexed · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • Circular RNAs in diseases

Papers in

    • Extracellular vesicles in disease 15
    • RNA Interference and Gene Delivery 5
    • Circular RNAs in diseases 4
    • CRISPR and Genetic Engineering 3
    • Cardiovascular Disease and Adiposity 3
    • Cardiomyopathy and Myosin Studies 3
    • Viral Infections and Immunology Research 3

Dasom Mun

28 papers receiving 601 citations

Peers

Dasom Mun
Comparison fields: 5 of 81
  • Cancer Research 236
  • Molecular Biology 471
  • Cardiology and Cardiovascular Medicine 131
  • Genetics 28
  • Biomaterials 27
Replace Xuejiao Fan with:
Xuejiao Fan China
Yi Si China
Qingguo Li China
Zhiliang Zhang China
Baofeng Yang China
Zengfen Pang China
Junxiao Yang China
Deidra J.H. Mountain United States
Dasom Mun relative to Xuejiao Fan China Xuejiao Fan's profile →
Citations per field
00.5×3.0×
Xuejiao Fan · 1×
Citations per year

Countries citing papers authored by Dasom Mun

Since Specialization
Citations

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

Fields of papers citing papers by Dasom Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dasom Mun, 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 Dasom Mun Line = papers co-authored together Dasom Mun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018129
2 202174
3 201962
4 201859
5 201943
6 202339
7 202134
8 202422
9 202218
10 201718
11 201917
12 201916
13 201913
14 201712
15 201712
16 20209
17 20206
18 20205
19 20255
20 20223

About Dasom Mun

Dasom Mun is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Biomedical Engineering and Organic Chemistry, having authored 30 papers that have together received 605 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (15 papers), MicroRNA in disease regulation (5 papers), RNA Interference and Gene Delivery (5 papers), Circular RNAs in diseases (4 papers), Cardiovascular Disease and Adiposity (3 papers), Cardiomyopathy and Myosin Studies (3 papers), CRISPR and Genetic Engineering (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Cancer Research (236 citations), Molecular Biology (471 citations), Cardiology and Cardiovascular Medicine (131 citations), Genetics (28 citations) and Biomaterials (27 citations). Dasom Mun has collaborated with scholars based in South Korea and United States. Frequent co-authors include Boyoung Joung, Nuri Yun, Hyoeun Kim, Hyewon Park, Hyelim Park, Jiyoung Kang, Seung‐Hyun Lee, Sung‐Gon Kim, Michael Kim and Yong‐Gun Shul. Their work appears in journals such as European Heart Journal, Stem Cell Research, Heart Rhythm, Journal of Controlled Release and Synthesis.

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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