Chang Song

1.1k total citations · 1 hit paper
25 papers, 665 citations indexed

About

Chang Song is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Chang Song has authored 25 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 18 papers in Virology and 6 papers in Epidemiology. Recurrent topics in Chang Song's work include HIV Research and Treatment (18 papers), HIV/AIDS drug development and treatment (18 papers) and HIV/AIDS Research and Interventions (17 papers). Chang Song is often cited by papers focused on HIV Research and Treatment (18 papers), HIV/AIDS drug development and treatment (18 papers) and HIV/AIDS Research and Interventions (17 papers). Chang Song collaborates with scholars based in China, United States and Taiwan. Chang Song's co-authors include Agedi Boto, Dallas B. Flies, Melissa Zarr, Xu Zhou, David L. Rimm, Jun Wang, Maria Toki, Jianping Zhang, Miguel F. Sanmamed and Kristina A. Archer and has published in prestigious journals such as Nature Medicine, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Chang Song

23 papers receiving 652 citations

Hit Papers

Siglec-15 as an immune suppressor and potential target fo... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chang Song China 9 299 292 210 129 108 25 665
Armelle Goubard France 13 205 0.7× 262 0.9× 221 1.1× 74 0.6× 75 0.7× 25 586
Shitao Zou China 16 134 0.4× 437 1.5× 148 0.7× 40 0.3× 61 0.6× 38 649
Susan D. Mertins United States 11 170 0.6× 479 1.6× 236 1.1× 64 0.5× 39 0.4× 16 797
Laura Pattacini Italy 13 247 0.8× 159 0.5× 87 0.4× 37 0.3× 38 0.4× 26 624
Amélie Bouchard Canada 11 279 0.9× 262 0.9× 249 1.2× 20 0.2× 74 0.7× 13 613
Nikola Baschuk Australia 14 324 1.1× 256 0.9× 212 1.0× 50 0.4× 16 0.1× 21 739
Jennifer M. Reiman United States 11 363 1.2× 377 1.3× 498 2.4× 37 0.3× 15 0.1× 13 939
Karthik M. Kodigepalli United States 12 174 0.6× 298 1.0× 63 0.3× 48 0.4× 57 0.5× 16 525
Florence Capilla France 11 194 0.6× 280 1.0× 118 0.6× 70 0.5× 18 0.2× 14 577
Lucas E. Cavallin United States 10 278 0.9× 301 1.0× 376 1.8× 72 0.6× 88 0.8× 12 764

Countries citing papers authored by Chang Song

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Chang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Song. A scholar is included among the top collaborators of Chang Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang Song. Chang Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mi, Wei, Min Wan, Haoming Huang, et al.. (2025). Comparative study of triglyceride glucose index and coronary heart disease risk in middle aged and elderly Chinese and British populations. Scientific Reports. 15(1). 22637–22637. 5 indexed citations
2.
Hu, Hongping, Dong Wang, Xiu Liu, et al.. (2025). Pretreatment HIV Drug Resistance to Integrase Strand Transfer Inhibitors Among Newly Diagnosed HIV Individuals — China, 2018–2023. China CDC Weekly. 7(2). 31–38. 1 indexed citations
4.
Wang, Dong, Yi Feng, Hongping Hu, et al.. (2024). National and Regional Molecular Epidemiology of HIV-1 - China, 2004-2023.. PubMed. 6(48). 1257–1263. 3 indexed citations
5.
Chen, Hongli, Jing Hu, Chang Song, et al.. (2023). Pretreatment HIV Drug Resistance and the Molecular Transmission Network Among HIV-Positive Individuals in China in 2022: Multicenter Observational Study. JMIR Public Health and Surveillance. 9. e50894–e50894. 16 indexed citations
6.
Liu, Xiu, Dong Wang, Jing Hu, et al.. (2023). Changes in HIV-1 Subtypes/Sub-Subtypes, and Transmitted Drug Resistance Among ART-Naïve HIV-Infected Individuals — China, 2004–2022. China CDC Weekly. 5(30). 664–671. 21 indexed citations
7.
Lai, Hao, Rui Li, Baoming Zhang, et al.. (2023). Modelling the impact of treatment adherence on the transmission of HIV drug resistance. Journal of Antimicrobial Chemotherapy. 78(8). 1934–1943. 4 indexed citations
8.
Li, Miaomiao, Chang Song, Jing Hu, et al.. (2023). Impact of pretreatment low-abundance HIV-1 drug resistance on virological failure after 1 year of antiretroviral therapy in China. Journal of Antimicrobial Chemotherapy. 78(11). 2743–2751. 2 indexed citations
10.
Song, Chang, Zesong Li, Chen Li, et al.. (2022). SARS-CoV-2: The Monster Causes COVID-19. Frontiers in Cellular and Infection Microbiology. 12. 835750–835750. 18 indexed citations
11.
Zheng, Shan, Jian Wu, Dong Wang, et al.. (2022). Epidemic Characteristics of HIV Drug Resistance in Hefei, Anhui Province. Pathogens. 11(8). 866–866. 5 indexed citations
12.
Zheng, Shan, Jian Wu, Lei Liu, et al.. (2021). Epidemiology and Molecular Transmission Characteristics of HIV in the Capital City of Anhui Province in China. Pathogens. 10(12). 1554–1554. 6 indexed citations
13.
Xu, Xiaoshan, Chang Song, Jianjun Li, et al.. (2021). Survey of pretreatment HIV drug resistance and the genetic transmission networks among HIV-positive individuals in southwestern China, 2014–2020. BMC Infectious Diseases. 21(1). 1153–1153. 9 indexed citations
14.
Li, Miaomiao, Shujia Liang, Chao Zhou, et al.. (2021). HIV Drug Resistance Mutations Detection by Next-Generation Sequencing during Antiretroviral Therapy Interruption in China. Pathogens. 10(3). 264–264. 14 indexed citations
15.
Zheng, Shan, Ruihua Kang, Miaomiao Li, et al.. (2021). Changing Proportions of HIV-1 Subtypes and Transmitted Drug Resistance Among Newly Diagnosed HIV/AIDS Individuals — China, 2015 and 2018. China CDC Weekly. 3(53). 1133–1138. 11 indexed citations
16.
Liu, Lei, Lin Xiao, Shu Liang, et al.. (2020). First Detection of a Circulating Recombinant Form of HIV-1 CRF01_AE/08_BC (CRF105_0108) with Drug-Resistant Mutations in Sichuan, China. AIDS Research and Human Retroviruses. 36(7). 625–630. 5 indexed citations
17.
Cao, Zhiqiang, Jian‐Jun Li, Huanhuan Chen, et al.. (2020). Effects of HIV-1 genotype on baseline CD4+ cell count and mortality before and after antiretroviral therapy. Scientific Reports. 10(1). 15875–15875. 12 indexed citations
18.
Wang, Jun, Jingwei Sun, Linda N. Liu, et al.. (2019). Siglec-15 as an immune suppressor and potential target for normalization cancer immunotherapy. Nature Medicine. 25(4). 656–666. 488 indexed citations breakdown →
19.
Su, Bin, Jian Wu, Chang Song, et al.. (2018). Treatment outcomes and HIV drug resistance of patients switching to second-line regimens after long-term first-line antiretroviral therapy. Medicine. 97(28). e11463–e11463. 7 indexed citations
20.
Song, Chang, et al.. (1998). Studies on chemical constituents and immunological function activity of hairy root of Astragalus membranaceus.. PubMed. 14(2). 93–7. 19 indexed citations

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.

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