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)Jiyou Han (1 shared paper)Peter Verwilst (1 shared paper)Arum Park (7 shared papers)Jieun Shin (1 shared paper)Mira Park (1 shared paper)
- Journals
- Molecules (3 papers)International Journal of Molecular Sciences (2 papers)International Journal of Biological Macromolecules (2 papers)Experimental Biology and Medicine (1 paper)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Sora Mun
29 papers receiving 479 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 29
- Rheumatology 88
- Cancer Research 57
- Spectroscopy 49
- Behavioral Neuroscience 9
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 | 125 | |
| 2 | 2018 | 47 | |
| 3 | 2021 | 47 | |
| 4 | 2019 | 34 | |
| 5 | 2018 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 22 | |
| 8 | 2020 | 22 | |
| 9 | 2017 | 17 | |
| 10 | 2018 | 16 | |
| 11 | 2020 | 15 | |
| 12 | 2021 | 15 | |
| 13 | 2020 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2018 | 4 |
About Sora Mun
Sora Mun is a scholar working on Molecular Biology, Biological Psychiatry, Rheumatology, Behavioral Neuroscience and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 482 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (9 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Stress Responses and Cortisol (4 papers), Advanced Proteomics Techniques and Applications (3 papers), S100 Proteins and Annexins (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Rheumatology (88 citations), Cancer Research (57 citations), Spectroscopy (49 citations) and Behavioral Neuroscience (9 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, Jiyou Han, Peter Verwilst, Arum Park, Jieun Shin, Mira Park, Hyo‐Jin Kim and Doojin Kim. Their work appears in journals such as Molecules, International Journal of Molecular Sciences, International Journal of Biological Macromolecules, Experimental Biology and Medicine and PROTEOMICS - CLINICAL APPLICATIONS.
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.