Fengxia Shi
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Oncology top 5%
- CAR-T cell therapy research
Papers in
- Oncology 9
- CAR-T cell therapy research 6
- Viral-associated cancers and disorders 2
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- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Chaochao Tan (4 shared papers)Ying Huang (2 shared papers)Yong Chen (1 shared paper)Kui Tan (1 shared paper)Xixin Jiang (1 shared paper)Xiaosong Li (1 shared paper)Weidong Han (9 shared papers)Yao Wang (8 shared papers)
- Journals
- Cytotherapy (2 papers)Clinical Cancer Research (1 paper)Korean Journal of Radiology (1 paper)Journal of Medical Virology (1 paper)Science China Life Sciences (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Fengxia Shi
16 papers receiving 981 citations
Fengxia Shi's Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 379
- Oncology 517
- Neurology 219
- Immunology 153
- Critical Care and Intensive Care Medicine 23
Countries citing papers authored by Fengxia Shi
This map shows the geographic impact of Fengxia Shi'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 Fengxia Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengxia Shi more than expected).
Fields of papers citing papers by Fengxia Shi
This network shows the impact of papers produced by Fengxia Shi. 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 Fengxia Shi. The network helps show where Fengxia Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengxia Shi, 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 | C‐reactive protein correlates with computed tomographic findings and predicts severe COVID‐19 early Hit paper breakdown → | 2020 | 392 |
| 2 | 2015 | 134 | |
| 3 | 2020 | 125 | |
| 4 | 2016 | 104 | |
| 5 | 2014 | 50 | |
| 6 | 2021 | 48 | |
| 7 | 2020 | 46 | |
| 8 | 2021 | 29 | |
| 9 | 2018 | 29 | |
| 10 | 2019 | 16 | |
| 11 | 2016 | 14 | |
| 12 | 2014 | 9 | |
| 13 | 2018 | 5 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 1 |
About Fengxia Shi
Fengxia Shi is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Surgery and Infectious Diseases, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Long-Term Effects of COVID-19 (2 papers), Pancreatitis Pathology and Treatment (2 papers), Viral-associated cancers and disorders (2 papers), COVID-19 Clinical Research Studies (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Infectious Diseases (379 citations), Oncology (517 citations), Neurology (219 citations), Immunology (153 citations) and Critical Care and Intensive Care Medicine (23 citations). Fengxia Shi has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Chaochao Tan, Ying Huang, Yong Chen, Kui Tan, Xixin Jiang, Xiaosong Li, Weidong Han, Yao Wang, Kaichao Feng and Yelei Guo. Their work appears in journals such as Cytotherapy, Clinical Cancer Research, Korean Journal of Radiology, Journal of Medical Virology and Science China Life 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.