Haijing Song
- Molecular Biology
- Organic Chemistry top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biotechnology top 5%
- Virology top 5%
- Co-authors
- Lai‐Xi WangSteven HauserHengguang LiBing LiAlonso HerediaJiahong NiYing ZengRobert Redfield
- Topics
- Glycosylation and Glycoproteins Research (7 papers)Carbohydrate Chemistry and Synthesis (7 papers)HIV Research and Treatment (5 papers)
- Journals
- Journal of the American Chemical SocietyBiochemical and Biophysical Research CommunicationsInternational Journal of Molecular Sciences
- Partner nations
- United StatesChinaNigeria
In The Last Decade
Haijing Song
22 papers receiving 822 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 569
- Organic Chemistry 429
- Radiology, Nuclear Medicine and Imaging 130
- Biotechnology 108
- Virology 92
Countries citing papers authored by Haijing Song
This map shows the geographic impact of Haijing 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 Haijing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijing Song more than expected).
Fields of papers citing papers by Haijing Song
This network shows the impact of papers produced by Haijing 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 Haijing Song. The network helps show where Haijing Song may publish in the future.
Co-authorship network of co-authors of Haijing Song
This figure shows the co-authorship network connecting the top 25 collaborators of Haijing Song. A scholar is included among the top collaborators of Haijing 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 Haijing Song. Haijing 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 | 0 | |
| 2 | 18 | |
| 3 | 13 | |
| 4 | 25 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | [Clinical investigation on the compliance and the validity of ventilator bundle]. | 1 |
| 12 | 99 | |
| 13 | 90 | |
| 14 | 24 | |
| 15 | 10 | |
| 16 | 53 | |
| 17 | 31 | |
| 18 | 65 | |
| 19 | 106 | |
| 20 | 35 |
About Haijing Song
Haijing Song is a scholar working on Virology, Biotechnology and Critical Care and Intensive Care Medicine, having authored 24 papers that have together received 828 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Carbohydrate Chemistry and Synthesis (7 papers) and HIV Research and Treatment (5 papers). The work is most often cited by research in Virology (92 citations), Geriatrics and Gerontology (69 citations) and Organic Chemistry (429 citations). Haijing Song has collaborated with scholars based in United States, China and Nigeria. Frequent co-authors include Lai‐Xi Wang, Steven Hauser, Hengguang Li, Bing Li, Alonso Heredia, Jiahong Ni, Bing Li, Ying Zeng, Robert Redfield and Nicholas M. Stamatos. Their work appears in journals such as Journal of the American Chemical Society, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.
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.