Dawei Shi
Impact in
- Microbiology top 5%
- Microbial infections and disease research
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- SARS-CoV-2 detection and testing 5
- Antimicrobial Resistance in Staphylococcus 5
- Epidemiology 18
- Pneumonia and Respiratory Infections 10
- Respiratory viral infections research 5
- Co-authors
- Deli Xin (7 shared papers)Ziye Zhou (11 shared papers)Ying Dai (10 shared papers)Jing Li (3 shared papers)Sihong Xu (8 shared papers)Shaojie Ma (2 shared papers)Xu Han (1 shared paper)Min Yue (2 shared papers)
- Journals
- British Journal of Clinical Pharmacology (3 papers)Frontiers in Immunology (2 papers)Frontiers in Cellular and Infection Microbiology (2 papers)Microbial Pathogenesis (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Dawei Shi
46 papers receiving 799 citations
Peers
Comparison fields: 5 of 91
- Microbiology 145
- Molecular Medicine 62
- Infectious Diseases 231
- Applied Microbiology and Biotechnology 16
- Epidemiology 273
Countries citing papers authored by Dawei Shi
This map shows the geographic impact of Dawei 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 Dawei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Shi more than expected).
Fields of papers citing papers by Dawei Shi
This network shows the impact of papers produced by Dawei 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 Dawei Shi. The network helps show where Dawei Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 101 | |
| 2 | 2009 | 94 | |
| 3 | 2011 | 59 | |
| 4 | 2021 | 48 | |
| 5 | 2013 | 43 | |
| 6 | 2019 | 43 | |
| 7 | 2007 | 38 | |
| 8 | 2021 | 30 | |
| 9 | 2021 | 28 | |
| 10 | 2022 | 24 | |
| 11 | 2018 | 21 | |
| 12 | 2014 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2020 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2016 | 16 | |
| 19 | 2022 | 16 | |
| 20 | 2021 | 10 |
About Dawei Shi
Dawei Shi is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Microbiology and Pharmacology, having authored 48 papers that have together received 811 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (10 papers), Microbial infections and disease research (9 papers), Pharmacovigilance and Adverse Drug Reactions (5 papers), SARS-CoV-2 detection and testing (5 papers), Respiratory viral infections research (5 papers), Antibiotic Resistance in Bacteria (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Microbiology (145 citations), Molecular Medicine (62 citations), Infectious Diseases (231 citations), Applied Microbiology and Biotechnology (16 citations) and Epidemiology (273 citations). Dawei Shi has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Deli Xin, Ziye Zhou, Ying Dai, Jing Li, Sihong Xu, Shaojie Ma, Xu Han, Min Yue, Guanyang Lin and Xuben Yu. Their work appears in journals such as British Journal of Clinical Pharmacology, Frontiers in Immunology, Frontiers in Cellular and Infection Microbiology, Microbial Pathogenesis and Frontiers in Pharmacology.
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.