Chang Song
- Virology top 5%
- HIV Research and Treatment 18
- Immunology top 10%
- Immunotherapy and Immune Responses 1
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment 18
- HIV/AIDS Research and Interventions 17
- SARS-CoV-2 and COVID-19 Research 1
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- Pneumocystis jirovecii pneumonia detection and treatment 4
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- Diabetes, Cardiovascular Risks, and Lipoproteins 1
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- Energy, Environment, Economic Growth 1
- Co-authors
- Jun WangLieping ChenDallas B. FliesAgedi BotoMiguel F. SanmamedXinxin NieJingwei SunLinda N. Liu
- Cited by
- VirologyImmunologyOncology
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Chang Song
23 papers receiving 652 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Virology 108
- Immunology 299
- Oncology 210
- Infectious Diseases 129
- Molecular Biology 292
Countries citing papers authored by Chang Song
This map shows the geographic impact of Chang 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 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 Song more than expected).
Fields of papers citing papers by Chang Song
This network shows the impact of papers produced by Chang 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 Song. The network helps show where Chang Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chang 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 | 1 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 21 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 14 | |
| 16 | 2020 | 5 | |
| 17 | 2020 | 12 | |
| 18 | Siglec-15 as an immune suppressor and potential target for normalization cancer immunotherapybreakdown → | 2019 | 488 |
| 19 | 2018 | 7 | |
| 20 | Studies on chemical constituents and immunological function activity of hairy root of Astragalus membranaceus. | 1998 | 19 |
About Chang Song
Chang Song is a scholar working on Virology, Infectious Diseases, Epidemiology, Complementary and alternative medicine and General Economics, Econometrics and Finance, having authored 25 papers that have together received 665 indexed citations. Recurring topics across this work include HIV Research and Treatment (18 papers), HIV/AIDS drug development and treatment (18 papers), HIV/AIDS Research and Interventions (17 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Energy, Environment, Economic Growth (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Virology (108 citations), Immunology (299 citations), Oncology (210 citations), Infectious Diseases (129 citations) and Molecular Biology (292 citations). Chang Song has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jun Wang, Lieping Chen, Dallas B. Flies, Agedi Boto, Miguel F. Sanmamed, Xinxin Nie, Jingwei Sun, Linda N. Liu, Roy S. Herbst and Jianping Zhang. Their work appears in journals such as China CDC Weekly, Pathogens, Scientific Reports, AIDS and Journal of Antimicrobial Chemotherapy.
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.