Sora Mun
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
Papers in
-
- Metabolomics and Mass Spectrometry Studies 4
- S100 Proteins and Annexins 3
-
- Tryptophan and brain disorders 9
- Co-authors
- Hee‐Gyoo Kang (30 shared papers)Jiyeong Lee (27 shared papers)Jong Seung Kim (2 shared papers)Peter Verwilst (1 shared paper)Jiyou Han (1 shared paper)Arum Park (7 shared papers)Mira Park (1 shared paper)Jieun Shin (1 shared paper)
- Journals
- Molecules (3 papers)International Journal of Biological Macromolecules (2 papers)International Journal of Molecular Sciences (2 papers)Journal of Molecular Neuroscience (1 paper)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Sora Mun
28 papers receiving 454 citations
Peers
Comparison fields: 5 of 90
- Biological Psychiatry 34
- Rheumatology 92
- Behavioral Neuroscience 18
- Cancer Research 62
- Spectroscopy 50
Countries citing papers authored by Sora Mun
This map shows the geographic impact of Sora 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 Sora Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sora Mun more than expected).
Fields of papers citing papers by Sora Mun
This network shows the impact of papers produced by Sora 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 Sora Mun. The network helps show where Sora Mun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sora 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 121 | |
| 2 | 2018 | 44 | |
| 3 | 2021 | 44 | |
| 4 | 2019 | 32 | |
| 5 | 2017 | 22 | |
| 6 | 2017 | 22 | |
| 7 | 2020 | 22 | |
| 8 | 2018 | 22 | |
| 9 | 2017 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 4 |
About Sora Mun
Sora Mun is a scholar working on Molecular Biology, Biological Psychiatry, Behavioral Neuroscience, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 459 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (9 papers), Stress Responses and Cortisol (7 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Bipolar Disorder and Treatment (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Hepatitis C virus research (3 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Rheumatology (92 citations), Behavioral Neuroscience (18 citations), Cancer Research (62 citations) and Spectroscopy (50 citations). Sora Mun has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Hee‐Gyoo Kang, Jiyeong Lee, Jong Seung Kim, Peter Verwilst, Jiyou Han, Arum Park, Mira Park, Jieun Shin, Hyo‐Jin Kim and Arup Podder. Their work appears in journals such as Molecules, International Journal of Biological Macromolecules, International Journal of Molecular Sciences, Journal of Molecular Neuroscience and Scientific 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.