Ji-Young Mun

49 papers receiving 731 citations

Peers

Ji-Young Mun
Comparison fields: 5 of 86
  • Biological Psychiatry 104
  • Behavioral Neuroscience 34
  • Cancer Research 77
  • Cellular and Molecular Neuroscience 81
  • Food Science 65
Replace Judith Weidenhofer with:
Judith Weidenhofer Australia
Nasr Farooqi Canada
Monika Zaręba-Kozioł Poland
Wenyuan Yin United States
Xiaofeng Guo China
Michael M. Poe United States
Yajie Wang China
Tomáš Dobránsky Canada
Tomasz Boczek Poland
Cláudia A. Valente Portugal
Ji-Young Mun relative to Judith Weidenhofer Australia Judith Weidenhofer's profile →
Citations per field
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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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013186
2 201273
3 201251
4 201233
5 201633
6 201231
7 202131
8 200828
9 201625
10 201223
11 201322
12 202318
13 201316
14 201215
15 201114
16 201812
17 201611
18 202111
19 202111
20 201210

About Ji-Young Mun

Ji-Young Mun is a scholar working on Food Science, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Behavioral Neuroscience and Cancer Research, having authored 52 papers that have together received 749 indexed citations. Recurring topics across this work include Food Quality and Safety Studies (13 papers), Fermentation and Sensory Analysis (7 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Synthesis and biological activity (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Biofuel production and bioconversion (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Biological Psychiatry (104 citations), Behavioral Neuroscience (34 citations), Cancer Research (77 citations), Cellular and Molecular Neuroscience (81 citations) and Food Science (65 citations). Ji-Young Mun has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Mark M. Goodman, Leonard Lee Howell, Jonathon A. Nye, Heather L. Kimmel, Narra Sarojini Devi, Erwin G. Van Meir, David B. Rye, Jennifer C. Felger, Andrew H. Miller and Daniel F. Drake. Their work appears in journals such as Neuropsychopharmacology, Journal of Medicinal Chemistry, Nuclear Medicine and Biology, Proceedings of the National Academy of Sciences and ACS Medicinal Chemistry Letters.

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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