Qifa Song
- Infectious Diseases top 2%
- Neurology top 5%
- Obstetrics and Gynecology top 2%
- Epidemiology
- Pulmonary and Respiratory Medicine
- Topics
- COVID-19 Clinical Research Studies (8 papers)SARS-CoV-2 and COVID-19 Research (7 papers)Salmonella and Campylobacter epidemiology (7 papers)
In The Last Decade
Qifa Song
39 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Infectious Diseases 941
- Neurology 252
- Obstetrics and Gynecology 230
- Epidemiology 181
- Pulmonary and Respiratory Medicine 180
Countries citing papers authored by Qifa Song
This map shows the geographic impact of Qifa 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 Qifa Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qifa Song more than expected).
Fields of papers citing papers by Qifa Song
This network shows the impact of papers produced by Qifa 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 Qifa Song. The network helps show where Qifa Song may publish in the future.
Co-authorship network of co-authors of Qifa Song
This figure shows the co-authorship network connecting the top 25 collaborators of Qifa Song. A scholar is included among the top collaborators of Qifa 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 Qifa Song. Qifa 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 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 22 | |
| 13 | 90 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 5 |
About Qifa Song
Qifa Song is a scholar working on Molecular Medicine, Endocrinology and Infectious Diseases, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Salmonella and Campylobacter epidemiology (7 papers). The work is most often cited by research in Infectious Diseases (941 citations), Obstetrics and Gynecology (230 citations) and Modeling and Simulation (79 citations). Qifa Song has collaborated with scholars based in China and Australia. Frequent co-authors include Chen Dong, Junhua Wu, Haiyan Qiu, Liang Hong, Yi Xiang, Chenchan Hu, Xiaoming Zhang, Feifei Su, Jianyi Dai and Xiaokun Li. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Lancet Infectious Diseases and BMC Public Health.
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.