Aijing Song
- Infectious Diseases top 5%
- Hepatology top 2%
- Virology top 5%
- Small Animals top 5%
- Epidemiology
- Co-authors
- Youchun WangTim J. HarrisonChenyan ZhaoChuntao ZhangJinping FanHongxia MaZilin QiaoZhongren Ma
- Topics
- HIV Research and Treatment (21 papers)HIV/AIDS drug development and treatment (15 papers)HIV/AIDS Research and Interventions (11 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Aijing Song
43 papers receiving 681 citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 483
- Hepatology 403
- Virology 158
- Small Animals 116
- Epidemiology 73
Countries citing papers authored by Aijing Song
This map shows the geographic impact of Aijing 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 Aijing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aijing Song more than expected).
Fields of papers citing papers by Aijing Song
This network shows the impact of papers produced by Aijing 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 Aijing Song. The network helps show where Aijing Song may publish in the future.
Co-authorship network of co-authors of Aijing Song
This figure shows the co-authorship network connecting the top 25 collaborators of Aijing Song. A scholar is included among the top collaborators of Aijing 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 Aijing Song. Aijing Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 26 | |
| 4 | 57 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | Preparation of National Reference Panel of HIV-1 RNA for NAT Donor Screening | 2 |
| 10 | Sensitivities of Various HIV Antibody Detection Kits to Antibody against env Protein of HIV-1 | 1 |
| 11 | 270 | |
| 12 | 9 | |
| 13 | 11 | |
| 14 | Progress in Pharmaceutical Applications of a New Excipient Sulfobutyl-β-Cyclodextrins | 1 |
| 15 | Establishment of China HIV Reference Plasma Bank and Indications of Different HIV Biomarkers | 1 |
| 16 | Establishment of Sample Bank for Evaluating Specificity of HIV Antibody Diagnostic Assays | 1 |
| 17 | Studies on National Reference of HIV-1 P24 Antigen | 2 |
| 18 | The Relationship of the Nucleic Acid and Antibody of HIV/HCV Among Drug Users | 1 |
| 19 | 17 | |
| 20 | Analysis of HIV Genotypes Isolated from Blood Donors in Beijing | 1 |
About Aijing Song
Aijing Song is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 44 papers that have together received 693 indexed citations. Recurring topics across this work include HIV Research and Treatment (21 papers), HIV/AIDS drug development and treatment (15 papers) and HIV/AIDS Research and Interventions (11 papers). The work is most often cited by research in Hepatology (403 citations), Virology (158 citations) and Infectious Diseases (483 citations). Aijing Song has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Youchun Wang, Tim J. Harrison, Chenyan Zhao, Chuntao Zhang, Jinping Fan, Hongxia Ma, Zilin Qiao, Zhongren Ma, Ruofei Feng and Mingsheng Li. Their work appears in journals such as PLoS ONE, Toxicology Letters and JAIDS Journal of Acquired Immune Deficiency Syndromes.
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.