Qingfeng Shi
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in ⓘ
-
- Clostridium difficile and Clostridium perfringens research 3
- COVID-19 Clinical Research Studies 2
- Co-authors
- Bijie Hu (7 shared papers)Yumeng Yao (2 shared papers)Kaihuan Yu (1 shared paper)Sisi Chen (1 shared paper)Xiang Chen (1 shared paper)Kai Liu (1 shared paper)Qingqing Wang (2 shared papers)Zheyong Huang (1 shared paper)
- Journals
- Biotechnology Letters (3 papers)Annals of Translational Medicine (3 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Annals of Palliative Medicine (1 paper)Journal of Intensive Care (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Qingfeng Shi
18 papers receiving 579 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Infectious Diseases 383
- Internal Medicine 43
- Neurology 143
- Applied Microbiology and Biotechnology 14
- Critical Care and Intensive Care Medicine 29
Countries citing papers authored by Qingfeng Shi
This map shows the geographic impact of Qingfeng 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 Qingfeng Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfeng Shi more than expected).
Fields of papers citing papers by Qingfeng Shi
This network shows the impact of papers produced by Qingfeng 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 Qingfeng Shi. The network helps show where Qingfeng Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfeng 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 | D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study Hit paper breakdown → | 2020 | 409 |
| 2 | 2017 | 61 | |
| 3 | 2016 | 19 | |
| 4 | 2018 | 17 | |
| 5 | 2016 | 16 | |
| 6 | 2019 | 15 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2018 | 3 | |
| 14 | [Establishing a L02 cell model with whole HBV gene transfection and analyzing its expressions of HLA-A, B, C and MICA/B]. | 2007 | 3 |
| 15 | 2024 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2017 | 1 |
About Qingfeng Shi
Qingfeng Shi is a scholar working on Infectious Diseases, Epidemiology, Surgery, Cardiology and Cardiovascular Medicine and Small Animals, having authored 18 papers that have together received 592 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Long-Term Effects of COVID-19 (2 papers), Escherichia coli research studies (2 papers), Veterinary medicine and infectious diseases (2 papers), COVID-19 Clinical Research Studies (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Infectious Diseases (383 citations), Internal Medicine (43 citations), Neurology (143 citations), Applied Microbiology and Biotechnology (14 citations) and Critical Care and Intensive Care Medicine (29 citations). Qingfeng Shi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Bijie Hu, Yumeng Yao, Kaihuan Yu, Sisi Chen, Xiang Chen, Kai Liu, Qingqing Wang, Zheyong Huang, Zhe Luo and Jiatian Cao. Their work appears in journals such as Biotechnology Letters, Annals of Translational Medicine, Frontiers in Cellular and Infection Microbiology, Annals of Palliative Medicine and Journal of Intensive Care.
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.