Ji-Young Mun

47 papers receiving 698 citations

Peers

Ji-Young Mun
Comparison fields: 5 of 99
  • Biological Psychiatry 125
  • Behavioral Neuroscience 117
  • Cancer Research 90
  • Neurology 51
  • Cellular and Molecular Neuroscience 81
Replace Judith Weidenhofer with:
Judith Weidenhofer Australia
Xiaolin Zhong China
Giovanna Rigillo Italy
Л. А. Андреева Russia
Wei‐Chao Chang Taiwan
Shiu‐Hwa Yeh Taiwan
Ge� Xiao United States
Congcong Qi China
Ri‐Fang Yang China
Kohfuku Kohda Japan
Ji-Young Mun relative to Judith Weidenhofer Australia Judith Weidenhofer's profile →
Citations per field
00.5×1.5×1.9×
Judith Weidenhofer · 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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013176
2 201273
3 201249
4 201232
5 201632
6 201230
7 202128
8 200828
9 201624
10 201223
11 201323
12 201316
13 201215
14 202314
15 201114
16 201812
17 201611
18 201211
19 202111
20 202110

About Ji-Young Mun

Ji-Young Mun is a scholar working on Molecular Biology, Food Science, Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cancer Research, having authored 53 papers that have together received 721 indexed citations. Recurring topics across this work include Food Quality and Safety Studies (14 papers), Fermentation and Sensory Analysis (11 papers), Stress Responses and Cortisol (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Neuroendocrine regulation and behavior (4 papers), Nutrition, Health and Food Behavior (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Biological Psychiatry (125 citations), Behavioral Neuroscience (117 citations), Cancer Research (90 citations), Neurology (51 citations) and Cellular and Molecular Neuroscience (81 citations). Ji-Young Mun has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Mark M. Goodman, Leonard L. Howell, Jonathon A. Nye, Heather L. Kimmel, Narra S. Devi, Erwin G. Van Meir, David B. Rye, A. Freeman, Daniel Drake and Andrew H. Miller. Their work appears in journals such as Neuropsychopharmacology, Journal of Medicinal Chemistry, Journal of Neuroendocrinology, Oncogene and Current Topics in Medicinal Chemistry.

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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