Seung Joon Baek
- Rheumatology top 0.2%
- GDF15 and Related Biomarkers 60
- Molecular Medicine top 1%
- Immunology top 1%
- Macrophage Migration Inhibitory Factor 31
- Biochemistry top 1%
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- Nuclear Receptors and Signaling 32
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- Inflammatory mediators and NSAID effects 22
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- Nutrition and Health in Aging 14
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- Circular RNAs in diseases 14
- Peroxisome Proliferator-Activated Receptors 11
- Genomics, phytochemicals, and oxidative stress 9
Seung Joon Baek
209 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Rheumatology 2.4k
- Applied Microbiology and Biotechnology 163
- Molecular Medicine 391
- Immunology 1.6k
- Biochemistry 432
Countries citing papers authored by Seung Joon Baek
This map shows the geographic impact of Seung Joon Baek'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 Seung Joon Baek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung Joon Baek more than expected).
Fields of papers citing papers by Seung Joon Baek
This network shows the impact of papers produced by Seung Joon Baek. 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 Seung Joon Baek. The network helps show where Seung Joon Baek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seung Joon Baek, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 6 | |
| 11 | 2021 | 32 | |
| 12 | 2021 | 37 | |
| 13 | 2021 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2013 | 19 | |
| 16 | 2011 | 41 | |
| 17 | A Robust Recursive Least Square Algorithm against Impulsive Noise | 2004 | 1 |
| 18 | A New Post-Filtering Algorithm for Residual Acoustic Echo Cancellation in Hands-Free Mobile Application | 2004 | 2 |
| 19 | Robust Kalman Filtering with Variable Forgetting Factor against Impulsive Noise | 2001 | 8 |
| 20 | On a Variable Speech Compression Using Pitch Synchronous Interpolation | 1998 | 1 |
About Seung Joon Baek
Seung Joon Baek is a scholar working on Rheumatology, Applied Microbiology and Biotechnology and Toxicology, having authored 223 papers that have together received 9.8k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (60 papers), Nuclear Receptors and Signaling (32 papers), Macrophage Migration Inhibitory Factor (31 papers), Inflammatory mediators and NSAID effects (22 papers), Nutrition and Health in Aging (14 papers), Circular RNAs in diseases (14 papers), Peroxisome Proliferator-Activated Receptors (11 papers) and Genomics, phytochemicals, and oxidative stress (9 papers). The work is most often cited by research in Rheumatology (2.4k citations), Applied Microbiology and Biotechnology (163 citations) and Molecular Medicine (391 citations). Seung Joon Baek has collaborated with scholars based in United States, South Korea and Thailand. Frequent co-authors include Thomas E. Eling, Seong‐Ho Lee, Leigh C. Wilson, Qixin Zhong, Kang Pan, Joo‐Heon Yoon, Jennifer B. Nixon, Rong‐Fong Shen, Kiyoshi Yamaguchi and Jong‐Sik Kim. Their work appears in journals such as Journal of Biological Chemistry, Applied Physics Letters and Gastroenterology.
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.