Pei Hao
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Tuberculosis Research and Epidemiology
- Modeling and Simulation top 2%
Papers in
-
- RNA and protein synthesis mechanisms 14
- Genomics and Phylogenetic Studies 13
- Bioinformatics and Genomic Networks 13
- RNA regulation and disease 8
-
- Tuberculosis Research and Epidemiology 10
- SARS-CoV-2 and COVID-19 Research 9
- Co-authors
- Jingfang Wang (10 shared papers)Wu Zhong (6 shared papers)Xintian Xu (6 shared papers)Xuan Li (2 shared papers)Ping Chen (5 shared papers)Jiannan Feng (1 shared paper)Hui Zhou (1 shared paper)Yimeng Kong (5 shared papers)
- Journals
- PLoS ONE (7 papers)BMC Bioinformatics (7 papers)BMC Genomics (5 papers)Nature Communications (5 papers)Nucleic Acids Research (5 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Pei Hao
143 papers receiving 4.8k citations
Pei Hao's Hit Papers
Peers
Comparison fields: 5 of 166
- Infectious Diseases 1.7k
- Modeling and Simulation 139
- Molecular Biology 1.6k
- Neurology 311
- Immunology 434
Countries citing papers authored by Pei Hao
This map shows the geographic impact of Pei Hao'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 Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei Hao more than expected).
Fields of papers citing papers by Pei Hao
This network shows the impact of papers produced by Pei Hao. 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 Hao. The network helps show where Pei Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei Hao, 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission Hit paper breakdown → | 2020 | 1539 |
| 2 | 2011 | 412 | |
| 3 | 2005 | 127 | |
| 4 | 2015 | 126 | |
| 5 | 2020 | 104 | |
| 6 | 2008 | 95 | |
| 7 | 2009 | 83 | |
| 8 | 2006 | 79 | |
| 9 | 2014 | 79 | |
| 10 | 2016 | 74 | |
| 11 | 2011 | 73 | |
| 12 | 2022 | 70 | |
| 13 | 2020 | 68 | |
| 14 | 2019 | 66 | |
| 15 | 2004 | 60 | |
| 16 | 2012 | 55 | |
| 17 | 2022 | 53 | |
| 18 | 2018 | 51 | |
| 19 | 2019 | 47 | |
| 20 | 2019 | 43 |
About Pei Hao
Pei Hao is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Oncology, having authored 148 papers that have together received 5.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (14 papers), Genomics and Phylogenetic Studies (13 papers), Bioinformatics and Genomic Networks (13 papers), Tuberculosis Research and Epidemiology (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), RNA regulation and disease (8 papers), Bacteriophages and microbial interactions (7 papers) and Hepatitis B Virus Studies (6 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Modeling and Simulation (139 citations), Molecular Biology (1.6k citations), Neurology (311 citations) and Immunology (434 citations). Pei Hao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jingfang Wang, Wu Zhong, Xintian Xu, Xuan Li, Ping Chen, Jiannan Feng, Hui Zhou, Yimeng Kong, Xuan Li and Yi Wang. Their work appears in journals such as PLoS ONE, BMC Bioinformatics, BMC Genomics, Nature Communications and Nucleic Acids Research.
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.