Pei‐Yong Shi
- Infectious Diseases top 0.01%
- Public Health, Environmental and Occupational Health top 0.01%
- Molecular Biology top 1%
- Insect Science top 0.05%
- Epidemiology top 0.5%
- Co-authors
- Xuping XieHongping DongJing ZouLaura D. KramerScott C. WeaverSiew Pheng LimHongjie XiaMark Tilgner
- Topics
- Mosquito-borne diseases and control (253 papers)Viral Infections and Vectors (159 papers)Malaria Research and Control (82 papers)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Pei‐Yong Shi
370 papers receiving 24.4k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Infectious Diseases 15.2k
- Public Health, Environmental and Occupational Health 14.1k
- Molecular Biology 4.7k
- Insect Science 3.0k
- Epidemiology 3.0k
Countries citing papers authored by Pei‐Yong Shi
This map shows the geographic impact of Pei‐Yong 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 Pei‐Yong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Yong Shi more than expected).
Fields of papers citing papers by Pei‐Yong Shi
This network shows the impact of papers produced by Pei‐Yong 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 Pei‐Yong Shi. The network helps show where Pei‐Yong Shi may publish in the future.
Co-authorship network of co-authors of Pei‐Yong Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Yong Shi. A scholar is included among the top collaborators of Pei‐Yong Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pei‐Yong Shi. Pei‐Yong Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | Low neutralization of SARS-CoV-2 Omicron BA.2.75.2, BQ.1.1 and XBB.1 by parental mRNA vaccine or a BA.5 bivalent boosterbreakdown → | 251 |
| 8 | 41 | |
| 9 | 7 | |
| 10 | Neutralization of SARS-CoV-2 spike 69/70 deletion, E484K and N501Y variants by BNT162b2 vaccine-elicited serabreakdown → | 383 |
| 11 | 0 | |
| 12 | 84 | |
| 13 | 7 | |
| 14 | 132 | |
| 15 | 24 | |
| 16 | 56 | |
| 17 | 16 | |
| 18 | 91 | |
| 19 | 52 | |
| 20 | 3 |
About Pei‐Yong Shi
Pei‐Yong Shi is a scholar working on Virology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 377 papers that have together received 24.8k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (253 papers), Viral Infections and Vectors (159 papers) and Malaria Research and Control (82 papers). The work is most often cited by research in Infectious Diseases (15.2k citations), Virology (2.7k citations) and Public Health, Environmental and Occupational Health (14.1k citations). Pei‐Yong Shi has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Xuping Xie, Hongping Dong, Jing Zou, Laura D. Kramer, Scott C. Weaver, Siew Pheng Lim, Hongjie Xia, Mark Tilgner, Christian G. Noble and Bo Zhang. Their work appears in journals such as Nature, Science and Cell.
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.