Shihui Song
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 1%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 4
-
- Long-Term Effects of COVID-19 5
- Co-authors
- Yong Xiong (7 shared papers)Yongxi Zhang (6 shared papers)Zhiyong Ma (5 shared papers)Pingzheng Mo (6 shared papers)Liping Deng (6 shared papers)Qiu Zhao (2 shared papers)Fan Wang (1 shared paper)Jiayan Nie (1 shared paper)
- Journals
- American Journal of Tropical Medicine and Hygiene (2 papers)Clinical Infectious Diseases (1 paper)HIV Medicine (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Shihui Song
13 papers receiving 1.8k citations
Shihui Song's Hit Papers
Peers
Comparison fields: 5 of 111
- Infectious Diseases 1.5k
- Neurology 868
- Critical Care and Intensive Care Medicine 67
- Modeling and Simulation 57
- Obstetrics and Gynecology 95
Countries citing papers authored by Shihui Song
This map shows the geographic impact of Shihui 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 Shihui Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shihui Song more than expected).
Fields of papers citing papers by Shihui Song
This network shows the impact of papers produced by Shihui 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 Shihui Song. The network helps show where Shihui Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Shihui 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 | Characteristics of Peripheral Lymphocyte Subset Alteration in COVID-19 Pneumonia Hit paper breakdown → | 2020 | 789 |
| 2 | Clinical Characteristics of Refractory Coronavirus Disease 2019 in Wuhan, China Hit paper breakdown → | 2020 | 653 |
| 3 | 2020 | 293 | |
| 4 | 2021 | 15 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 7 | |
| 8 | 2023 | 3 | |
| 9 | 2014 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2006 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2023 | 0 |
About Shihui Song
Shihui Song is a scholar working on Infectious Diseases, Neurology, Epidemiology, Virology and Molecular Biology, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), HIV Research and Treatment (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Cytomegalovirus and herpesvirus research (2 papers), RNA modifications and cancer (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Neurology (868 citations), Critical Care and Intensive Care Medicine (67 citations), Modeling and Simulation (57 citations) and Obstetrics and Gynecology (95 citations). Shihui Song has collaborated with scholars based in China and United States. Frequent co-authors include Yong Xiong, Yongxi Zhang, Zhiyong Ma, Pingzheng Mo, Liping Deng, Qiu Zhao, Fan Wang, Jiayan Nie, Haizhou Wang and Shicheng Gao. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Clinical Infectious Diseases, HIV Medicine, Scientific Reports and Nature Communications.
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.