Xiaozhen Lai
Impact in
- Health top 0.2%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
- Health 21
- Vaccine Coverage and Hesitancy 18
- Epidemiology 10
- Influenza Virus Research Studies 8
- Co-authors
- Hai Fang (20 shared papers)Rize Jing (22 shared papers)Yun Lyu (12 shared papers)Jiahao Wang (7 shared papers)Maria Deloria Knoll (5 shared papers)Haijun Zhang (1 shared paper)Haijun Zhang (17 shared papers)Hongguo Rong (11 shared papers)
- Journals
- Vaccines (6 papers)Vaccine (4 papers)Expert Review of Vaccines (3 papers)Frontiers in Public Health (3 papers)BMC Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaozhen Lai
47 papers receiving 1.7k citations
Xiaozhen Lai's Hit Papers
Peers
Comparison fields: 5 of 115
- Health 1.0k
- Modeling and Simulation 272
- Infectious Diseases 467
- Obstetrics and Gynecology 64
- Economics and Econometrics 179
Countries citing papers authored by Xiaozhen Lai
This map shows the geographic impact of Xiaozhen Lai'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 Xiaozhen Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaozhen Lai more than expected).
Fields of papers citing papers by Xiaozhen Lai
This network shows the impact of papers produced by Xiaozhen Lai. 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 Xiaozhen Lai. The network helps show where Xiaozhen Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaozhen Lai, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Acceptance of COVID-19 Vaccination during the COVID-19 Pandemic in China Hit paper breakdown → | 2020 | 699 |
| 2 | 2021 | 125 | |
| 3 | 2020 | 115 | |
| 4 | 2021 | 70 | |
| 5 | 2021 | 56 | |
| 6 | 2021 | 53 | |
| 7 | 2019 | 51 | |
| 8 | 2022 | 42 | |
| 9 | 2020 | 41 | |
| 10 | 2022 | 35 | |
| 11 | 2022 | 32 | |
| 12 | 2019 | 30 | |
| 13 | 2023 | 30 | |
| 14 | 2023 | 28 | |
| 15 | 2022 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2022 | 24 | |
| 18 | 2020 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2021 | 16 |
About Xiaozhen Lai
Xiaozhen Lai is a scholar working on Health, Epidemiology, Infectious Diseases, Modeling and Simulation and Obstetrics and Gynecology, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (18 papers), Influenza Virus Research Studies (8 papers), COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Bacterial Infections and Vaccines (4 papers), Gestational Diabetes Research and Management (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Sleep and related disorders (3 papers). The work is most often cited by research in Health (1.0k citations), Modeling and Simulation (272 citations), Infectious Diseases (467 citations), Obstetrics and Gynecology (64 citations) and Economics and Econometrics (179 citations). Xiaozhen Lai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hai Fang, Rize Jing, Yun Lyu, Jiahao Wang, Maria Deloria Knoll, Haijun Zhang, Haijun Zhang, Hongguo Rong, Elham Mahmoudi and Hai Fang. Their work appears in journals such as Vaccines, Vaccine, Expert Review of Vaccines, Frontiers in Public Health and BMC Medicine.
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.