Sungwon Bae
Impact in
-
- Cancer Genomics and Diagnostics
-
- Mitochondrial Function and Pathology
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
Papers in
-
- S100 Proteins and Annexins 2
- Mitochondrial Function and Pathology 2
- Machine Learning in Bioinformatics 1
- ATP Synthase and ATPases Research 1
-
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Jong Hyuk Yoon (4 shared papers)Yang Woo Kwon (4 shared papers)Parkyong Song (2 shared papers)Youngsuk Seo (2 shared papers)Minseok Song (1 shared paper)Inho Jo (1 shared paper)Hyewhon Rhim (1 shared paper)Insuk So (1 shared paper)
- Journals
- Pflügers Archiv - European Journal of Physiology (1 paper)Scientific Reports (1 paper)Journal of Neuroscience (1 paper)Experimental & Molecular Medicine (1 paper)Frontiers in Medicine (1 paper)
- Partner nations
- South KoreaFinlandBelgium
In The Last Decade
Sungwon Bae
11 papers receiving 333 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 49
- Molecular Biology 191
- Cellular and Molecular Neuroscience 48
- Spectroscopy 37
- Oncology 54
Countries citing papers authored by Sungwon Bae
This map shows the geographic impact of Sungwon Bae'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 Sungwon Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungwon Bae more than expected).
Fields of papers citing papers by Sungwon Bae
This network shows the impact of papers produced by Sungwon Bae. 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 Sungwon Bae. The network helps show where Sungwon Bae may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungwon Bae, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 159 | |
| 2 | 2002 | 81 | |
| 3 | 2020 | 26 | |
| 4 | 2022 | 19 | |
| 5 | 2001 | 10 | |
| 6 | 2021 | 10 | |
| 7 | 2018 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2024 | 0 |
About Sungwon Bae
Sungwon Bae is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Computer Networks and Communications, having authored 12 papers that have together received 334 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), S100 Proteins and Annexins (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cellular transport and secretion (2 papers), Mitochondrial Function and Pathology (2 papers), Machine Learning in Bioinformatics (1 paper), Lymphatic System and Diseases (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Cancer Research (49 citations), Molecular Biology (191 citations), Cellular and Molecular Neuroscience (48 citations), Spectroscopy (37 citations) and Oncology (54 citations). Sungwon Bae has collaborated with scholars based in South Korea, Finland and Belgium. Frequent co-authors include Jong Hyuk Yoon, Yang Woo Kwon, Parkyong Song, Youngsuk Seo, Minseok Song, Inho Jo, Hyewhon Rhim, Insuk So, Mei Zhu and Youngmi Kim Pak. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Scientific Reports, Journal of Neuroscience, Experimental & Molecular Medicine and Frontiers in Medicine.
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.