Chang‐Hwa Song
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 42
- Immunology top 2%
- Immune Cell Function and Interaction 11
- Immune Response and Inflammation 9
- Epidemiology top 2%
- Mycobacterium research and diagnosis 31
- Autophagy in Disease and Therapy 13
- Endocrinology top 5%
- Physiology top 5%
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- Endoplasmic Reticulum Stress and Disease 13
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- Infectious Diseases and Tuberculosis 8
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- Cytokine Signaling Pathways and Interactions 8
Chang‐Hwa Song
87 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 110
- Infectious Diseases 1.2k
- Immunology 1.0k
- Epidemiology 1.2k
- Endocrinology 95
- Physiology 75
Countries citing papers authored by Chang‐Hwa Song
This map shows the geographic impact of Chang‐Hwa Song'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 Chang‐Hwa Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Hwa Song more than expected).
Fields of papers citing papers by Chang‐Hwa Song
This network shows the impact of papers produced by Chang‐Hwa Song. 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 Chang‐Hwa Song. The network helps show where Chang‐Hwa Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chang‐Hwa Song, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2019 | 33 | |
| 4 | 2018 | 8 | |
| 5 | 2016 | 61 | |
| 6 | 2014 | 6 | |
| 7 | 2014 | 51 | |
| 8 | 2012 | 28 | |
| 9 | 2010 | 111 | |
| 10 | 2008 | 33 | |
| 11 | 2006 | 20 | |
| 12 | 2006 | 13 | |
| 13 | Mycobacteria-induced Interleukin-12 Expression by Human Monocyte-derived Macrophages Is Negatively Regulated by Phosphatidylinositol 3-kinase and ERK 1/2 Pathways | 2005 | 2 |
| 14 | 2004 | 10 | |
| 15 | 2003 | 12 | |
| 16 | Protein and Genetic Analysis of Bruton's Tyrosine Kinase(Btk) in Three Korean X-linked Agammaglobulinemia(XLA) Families | 2002 | 2 |
| 17 | Depression of Both Interferon-γ and Tumor Necrosis Factor-α Production by Peripheral Blood Mononuclear Cells from Chronic Refractory Tuberculosis Patients | 2002 | 2 |
| 18 | Increased IL-12, but Depressed IL-18 Production after In Vitro Stimulation with a 30-kDa Mycobacterial Antigen in Tuberculous Pleural Mononuclear Cells | 2001 | 1 |
| 19 | 2001 | 10 | |
| 20 | Mechanism of DNA Gyrase Inhibition by Quinolones: I. Spectral Analysis for Nalidixic Acid Polymorphism | 1999 | 6 |
About Chang‐Hwa Song
Chang‐Hwa Song is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 89 papers that have together received 2.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (42 papers), Mycobacterium research and diagnosis (31 papers), Endoplasmic Reticulum Stress and Disease (13 papers), Autophagy in Disease and Therapy (13 papers), Immune Cell Function and Interaction (11 papers), Immune Response and Inflammation (9 papers), Infectious Diseases and Tuberculosis (8 papers) and Cytokine Signaling Pathways and Interactions (8 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Immunology (1.0k citations) and Epidemiology (1.2k citations). Chang‐Hwa Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Eun‐Kyeong Jo, Hwa‐Jung Kim, Jeong‐Kyu Park, Jiae Choi, Junghwan Lee, Ji‐Sook Lee, Yun-Ji Lim, Chul‐Su Yang, Tae-Hyun Paik and Soo‐Na Cho. Their work appears in journals such as The Journal of Experimental Medicine, Nature Immunology and The Journal of Immunology.
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.