Ji-Young Mun
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
- Food Science 17
- Food Quality and Safety Studies 13
- Fermentation and Sensory Analysis 11
- Co-authors
- Mark M. Goodman (15 shared papers)Leonard L. Howell (5 shared papers)Jonathon A. Nye (6 shared papers)Heather L. Kimmel (3 shared papers)Narra S. Devi (5 shared papers)Erwin G. Van Meir (5 shared papers)Jennifer C. Felger (1 shared paper)A. Freeman (1 shared paper)
- Journals
- Neuropsychopharmacology (3 papers)Journal of Medicinal Chemistry (2 papers)Autophagy (1 paper)Clinical Cancer Research (1 paper)BMB Reports (1 paper)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Ji-Young Mun
46 papers receiving 657 citations
Peers
Comparison fields: 5 of 99
- Biological Psychiatry 131
- Behavioral Neuroscience 124
- Cancer Research 93
- Neurology 50
- Cellular and Molecular Neuroscience 81
Countries citing papers authored by Ji-Young Mun
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
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.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 165 | |
| 2 | 2012 | 71 | |
| 3 | 2012 | 49 | |
| 4 | 2016 | 31 | |
| 5 | 2012 | 30 | |
| 6 | 2012 | 29 | |
| 7 | 2008 | 26 | |
| 8 | 2021 | 24 | |
| 9 | 2016 | 23 | |
| 10 | 2012 | 22 | |
| 11 | 2013 | 21 | |
| 12 | 2012 | 15 | |
| 13 | 2011 | 14 | |
| 14 | 2013 | 14 | |
| 15 | 2023 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2016 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2015 | 9 |
About Ji-Young Mun
Ji-Young Mun is a scholar working on Molecular Biology, Food Science, Cancer Research, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 52 papers that have together received 677 indexed citations. Recurring topics across this work include Food Quality and Safety Studies (13 papers), Fermentation and Sensory Analysis (11 papers), Cancer, Hypoxia, and Metabolism (7 papers), Stress Responses and Cortisol (6 papers), Neuroendocrine regulation and behavior (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Tryptophan and brain disorders (4 papers) and Nutrition, Health and Food Behavior (4 papers). The work is most often cited by research in Biological Psychiatry (131 citations), Behavioral Neuroscience (124 citations), Cancer Research (93 citations), Neurology (50 citations) and Cellular and Molecular Neuroscience (81 citations). Ji-Young Mun has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Mark M. Goodman, Leonard L. Howell, Jonathon A. Nye, Heather L. Kimmel, Narra S. Devi, Erwin G. Van Meir, Jennifer C. Felger, A. Freeman, Daniel Drake and Andrew H. Miller. Their work appears in journals such as Neuropsychopharmacology, Journal of Medicinal Chemistry, Autophagy, Clinical Cancer Research and BMB Reports.
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.