Ji Young Mun

4.9k citations
110 papers · 3.6k · h-index 32

Impact in

Papers in

    • Mitochondrial Function and Pathology 16
    • Extracellular vesicles in disease 10
    • Advanced biosensing and bioanalysis techniques 8
    • RNA Interference and Gene Delivery 6
    • Biotin and Related Studies 7
    • Cellular transport and secretion 7

Ji Young Mun

106 papers receiving 3.6k citations

Peers

Ji Young Mun
Comparison fields: 5 of 141
  • Biological Psychiatry 92
  • Neurology 255
  • Cardiology and Cardiovascular Medicine 626
  • Developmental Neuroscience 113
  • Molecular Biology 1.9k
Replace Frank Lezoualc’h with:
Frank Lezoualc’h France
Dariusz C. Górecki United Kingdom
Xiao Xiao China
Nadia Messaddeq France
Jian Zhao China
Malcolm R. Wood United States
Pankaj Gupta United States
Jun Wu China
Lucia Formigli Italy
Ji Young Mun relative to Frank Lezoualc’h France Frank Lezoualc’h's profile →
Citations per field
00.5×1.7×
Frank Lezoualc’h · 1×
Citations per year

Countries citing papers authored by Ji Young Mun

Since Specialization
Citations

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

Fields of papers citing papers by Ji Young Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011380
2 2020261
3 2018234
4 2011139
5 2014132
6 2020131
7 2019131
8 2010119
9 2016101
10 201679
11 201878
12 201876
13 201774
14 201771
15 201865
16 201664
17 201963
18 201562
19 201161
20 201060

About Ji Young Mun

Ji Young Mun is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Physiology, having authored 110 papers that have together received 3.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (16 papers), Mitochondrial Function and Pathology (16 papers), Cardiomyopathy and Myosin Studies (12 papers), Extracellular vesicles in disease (10 papers), Advanced biosensing and bioanalysis techniques (8 papers), Biotin and Related Studies (7 papers), Cellular transport and secretion (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Biological Psychiatry (92 citations), Neurology (255 citations), Cardiology and Cardiovascular Medicine (626 citations), Developmental Neuroscience (113 citations) and Molecular Biology (1.9k citations). Ji Young Mun has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Min Kyo Jung, Hyosun Choi, Roger Craig, Su Ryon Shin, Minkyo Jung, Seulgi Noh, James Gulick, Jeffrey Robbins, Won‐Suk Chung and Larry S. Tobacman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Journal of Visualized Experiments, Scientific Reports and Autophagy.

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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