Shiji Wu
Impact in
- Infectious Diseases top 0.2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 0.5%
- Long-Term Effects of COVID-19
Papers in
-
- Tuberculosis Research and Epidemiology 11
- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 and COVID-19 Research 8
- Epidemiology 18
- Mycobacterium research and diagnosis 10
- Co-authors
- Minxia Zhang (5 shared papers)Wei Guo (1 shared paper)Haijing Yu (1 shared paper)Yong Cao (1 shared paper)Xiaoping Zhang (1 shared paper)Shusheng Li (1 shared paper)Hongwu Wang (1 shared paper)Qin Ning (1 shared paper)
- Journals
- Frontiers in Immunology (7 papers)Journal of Medical Virology (3 papers)Clinica Chimica Acta (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Journal of Infection (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Shiji Wu
43 papers receiving 4.5k citations
Shiji Wu's Hit Papers
Peers
Comparison fields: 5 of 125
- Infectious Diseases 3.4k
- Neurology 1.8k
- Immunology 787
- Obstetrics and Gynecology 224
- Biological Psychiatry 66
Countries citing papers authored by Shiji Wu
This map shows the geographic impact of Shiji Wu'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 Shiji Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiji Wu more than expected).
Fields of papers citing papers by Shiji Wu
This network shows the impact of papers produced by Shiji Wu. 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 Shiji Wu. The network helps show where Shiji Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiji Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical and immunological features of severe and moderate coronavirus disease 2019 Hit paper breakdown → | 2020 | 3242 |
| 2 | 2020 | 372 | |
| 3 | 2020 | 254 | |
| 4 | 2015 | 114 | |
| 5 | 2017 | 51 | |
| 6 | 2019 | 49 | |
| 7 | 2011 | 48 | |
| 8 | 2020 | 39 | |
| 9 | 2021 | 33 | |
| 10 | 2014 | 32 | |
| 11 | 2020 | 32 | |
| 12 | 2020 | 29 | |
| 13 | 2021 | 25 | |
| 14 | 2018 | 23 | |
| 15 | 2007 | 22 | |
| 16 | 2020 | 20 | |
| 17 | 2015 | 19 | |
| 18 | 2021 | 17 | |
| 19 | 2011 | 16 | |
| 20 | 2021 | 14 |
About Shiji Wu
Shiji Wu is a scholar working on Infectious Diseases, Epidemiology, Immunology, Surgery and Neurology, having authored 47 papers that have together received 4.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Immune Cell Function and Interaction (10 papers), Mycobacterium research and diagnosis (10 papers), COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Long-Term Effects of COVID-19 (6 papers), T-cell and B-cell Immunology (5 papers) and Diagnosis and treatment of tuberculosis (5 papers). The work is most often cited by research in Infectious Diseases (3.4k citations), Neurology (1.8k citations), Immunology (787 citations), Obstetrics and Gynecology (224 citations) and Biological Psychiatry (66 citations). Shiji Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Minxia Zhang, Wei Guo, Haijing Yu, Yong Cao, Xiaoping Zhang, Shusheng Li, Hongwu Wang, Qin Ning, Di Wu and Xiaoping Luo. Their work appears in journals such as Frontiers in Immunology, Journal of Medical Virology, Clinica Chimica Acta, Frontiers in Cellular and Infection Microbiology and Journal of Infection.
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.