Ji Young Mun

4.8k total citations
108 papers, 3.5k citations indexed

About

Ji Young Mun is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Ji Young Mun has authored 108 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 25 papers in Cell Biology and 18 papers in Epidemiology. Recurrent topics in Ji Young Mun's work include Mitochondrial Function and Pathology (16 papers), Autophagy in Disease and Therapy (16 papers) and Cardiomyopathy and Myosin Studies (12 papers). Ji Young Mun is often cited by papers focused on Mitochondrial Function and Pathology (16 papers), Autophagy in Disease and Therapy (16 papers) and Cardiomyopathy and Myosin Studies (12 papers). Ji Young Mun collaborates with scholars based in South Korea, United States and Puerto Rico. Ji Young Mun's co-authors include Min Kyo Jung, Hyosun Choi, Roger Craig, Su Ryon Shin, Minkyo Jung, James Gulick, Jeffrey Robbins, Seulgi Noh, Larry S. Tobacman and Sung‐Sik Han and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Ji Young Mun

101 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Young Mun South Korea 32 1.9k 622 508 384 365 108 3.5k
Li Ni China 35 1.4k 0.8× 371 0.6× 244 0.5× 307 0.8× 258 0.7× 137 3.7k
Yi Zhao China 36 1.4k 0.7× 326 0.5× 598 1.2× 221 0.6× 86 0.2× 108 3.2k
Robert L. Price United States 41 2.8k 1.5× 1.7k 2.8× 358 0.7× 429 1.1× 517 1.4× 121 5.5k
Philippe Chafey France 28 2.4k 1.2× 260 0.4× 220 0.4× 197 0.5× 414 1.1× 60 3.8k
Jun Wu China 38 1.9k 1.0× 303 0.5× 651 1.3× 247 0.6× 206 0.6× 153 4.6k
Zhao Zhang China 39 2.9k 1.5× 248 0.4× 694 1.4× 454 1.2× 111 0.3× 134 4.8k
Pei‐Hui Lin United States 30 2.0k 1.0× 405 0.7× 262 0.5× 181 0.5× 585 1.6× 75 4.1k
Kimiko Yamamoto Japan 40 2.9k 1.5× 508 0.8× 750 1.5× 335 0.9× 1.0k 2.8× 109 6.5k
Dong‐Eog Kim South Korea 33 1.2k 0.6× 527 0.8× 848 1.7× 350 0.9× 77 0.2× 117 4.5k

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-authorship network of co-authors of Ji Young Mun

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

All Works

20 of 20 papers shown
1.
Yeo, Xin Yi, Muhammad Junaid, Su Bin Lim, et al.. (2025). A human striatal–midbrain assembloid model of alpha-synuclein propagation. Brain. 149(3). 867–883.
2.
Noh, Seulgi, Yurim Park, Beomsue Kim, & Ji Young Mun. (2025). Structural Analysis of Cerebral Organoids Using Confocal Microscopy and Transmission/Scanning Electron Microscopy. Microscopy and Microanalysis. 31(1). 1 indexed citations
4.
Kang, Myeong‐Gyun, Sanghee Shin, Song-Yi Lee, et al.. (2025). Intracristal space proteome mapping using super-resolution proximity labeling with isotope-coded probes. Nature Communications. 16(1). 7757–7757. 1 indexed citations
5.
Song, Min Seok, Min Kyo Jung, Kihyuck Kwak, et al.. (2025). Tubular ER structures shaped by ER-phagy receptors engage in stress-induced Golgi bypass. Developmental Cell. 60(11). 1568–1585.e11. 2 indexed citations
6.
Shin, Sanghee, Song-Yi Lee, Tran Diem Nghi, et al.. (2024). OrthoID: profiling dynamic proteomes through time and space using mutually orthogonal chemical tools. Nature Communications. 15(1). 1851–1851. 10 indexed citations
7.
Jung, Minkyo, Jeesoo Kim, Wanda Christ, et al.. (2023). Super-resolution proximity labeling reveals anti-viral protein network and its structural changes against SARS-CoV-2 viral proteins. Cell Reports. 42(8). 112835–112835. 14 indexed citations
8.
Kim, Hyo‐Jin, Ju Hwan Jeong, Stefan Magez, et al.. (2023). Mosaic RBD nanoparticles induce intergenus cross-reactive antibodies and protect against SARS-CoV-2 challenge. Proceedings of the National Academy of Sciences. 120(4). e2208425120–e2208425120. 11 indexed citations
9.
Thoudam, Themis, Dipanjan Chanda, Byung‐Gyu Kim, et al.. (2022). Noncanonical PDK4 action alters mitochondrial dynamics to affect the cellular respiratory status. Proceedings of the National Academy of Sciences. 119(34). e2120157119–e2120157119. 36 indexed citations
10.
Hong, Min, Ayesha Kashif, Beom Seok Park, et al.. (2021). Der p 38 Is a Bidirectional Regulator of Eosinophils and Neutrophils in Allergy. The Journal of Immunology. 207(7). 1735–1746. 11 indexed citations
11.
Kwak, Chulhwan, Sanghee Shin, Jong Seok Park, et al.. (2020). Contact-ID, a tool for profiling organelle contact sites, reveals regulatory proteins of mitochondrial-associated membrane formation. Proceedings of the National Academy of Sciences. 117(22). 12109–12120. 127 indexed citations
12.
Mun, Ji Young, Hyosun Choi, Heesun Cheong, et al.. (2019). The Role of ZNF143 in Breast Cancer Cell Survival Through the NAD(P)H Quinone Dehydrogenase 1–p53–Beclin1 Axis Under Metabolic Stress. Cells. 8(4). 296–296. 14 indexed citations
13.
Kim, Jong‐Min, Jong Hyeon Seok, Ji-Hye Lee, et al.. (2018). Supersaturation-controlled microcrystallization and visualization analysis for serial femtosecond crystallography. Scientific Reports. 8(1). 2541–2541. 10 indexed citations
14.
Jung, Min Kyo & Ji Young Mun. (2018). Sample Preparation and Imaging of Exosomes by Transmission Electron Microscopy. Journal of Visualized Experiments. 226 indexed citations
15.
Bae, Yoonhee, Min Kyo Jung, Su Jeong Song, et al.. (2017). Functional nanosome for enhanced mitochondria-targeted gene delivery and expression. Mitochondrion. 37. 27–40. 38 indexed citations
16.
Hikima, Jun-ichi, Maki Ohtani, Young Kyu Kim, et al.. (2012). LGP2 Expression is Enhanced by Interferon Regulatory Factor 3 in Olive Flounder, Paralichthys olivaceus. PLoS ONE. 7(12). e51522–e51522. 16 indexed citations
17.
Mun, Ji Young, James Gulick, Jeffrey Robbins, et al.. (2011). Electron Microscopy and 3D Reconstruction of F-Actin Decorated with Cardiac Myosin-Binding Protein C (cMyBP-C). Journal of Molecular Biology. 410(2). 214–225. 61 indexed citations
18.
Lee, Chang Kee, Su Ryon Shin, Ji Young Mun, et al.. (2009). Tough Supersoft Sponge Fibers with Tunable Stiffness from a DNA Self‐Assembly Technique. Angewandte Chemie International Edition. 48(28). 5116–5120. 31 indexed citations
19.
Lee, Tae Hoon, et al.. (2009). DIC‐1 over‐expression enhances respiratory activity in Caenorhabditis elegans by promoting mitochondrial cristae formation. Genes to Cells. 14(3). 319–327. 11 indexed citations
20.
Mun, Ji Young, et al.. (2005). An Essential Domain in C-terminus Responsible for Golgi Localization and Recycling of Mouse Itm2C. 20. 34–34.

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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