Kaiyi Han
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Health 11
- Vaccine Coverage and Hesitancy 11
-
- Influenza Virus Research Studies 9
- Respiratory viral infections research 6
- Co-authors
- Mark R. Francis (6 shared papers)Zhiyuan Hou (9 shared papers)Tracey Chantler (7 shared papers)Heidi J. Larson (7 shared papers)Lance E. Rodewald (3 shared papers)Fanxing Du (3 shared papers)Hongjie Yu (3 shared papers)Xuan Zhang (3 shared papers)
- Journals
- Vaccines (6 papers)Vaccine (2 papers)Human Vaccines & Immunotherapeutics (1 paper)Buildings (1 paper)Global Health Research and Policy (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kaiyi Han
17 papers receiving 314 citations
Peers
Comparison fields: 5 of 74
- Health 197
- Modeling and Simulation 67
- Infectious Diseases 118
- Epidemiology 103
- Health, Toxicology and Mutagenesis 34
Countries citing papers authored by Kaiyi Han
This map shows the geographic impact of Kaiyi Han'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 Kaiyi Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyi Han more than expected).
Fields of papers citing papers by Kaiyi Han
This network shows the impact of papers produced by Kaiyi Han. 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 Kaiyi Han. The network helps show where Kaiyi Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiyi Han, 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 | 2020 | 65 | |
| 2 | 2014 | 45 | |
| 3 | 2021 | 44 | |
| 4 | 2015 | 34 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 14 | |
| 9 | 2017 | 13 | |
| 10 | 2024 | 10 | |
| 11 | 1999 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 5 | |
| 16 | [Relationship between risk of childhood acute leukemia and children's and parents' lifestyles and household environment exposure]. | 2015 | 4 |
| 17 | 2023 | 3 |
About Kaiyi Han
Kaiyi Han is a scholar working on Health, Epidemiology, Modeling and Simulation, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 320 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (11 papers), Influenza Virus Research Studies (9 papers), Respiratory viral infections research (6 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers) and Cardiovascular Health and Risk Factors (1 paper). The work is most often cited by research in Health (197 citations), Modeling and Simulation (67 citations), Infectious Diseases (118 citations), Epidemiology (103 citations) and Health, Toxicology and Mutagenesis (34 citations). Kaiyi Han has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Mark R. Francis, Zhiyuan Hou, Tracey Chantler, Heidi J. Larson, Lance E. Rodewald, Fanxing Du, Hongjie Yu, Xuan Zhang, Qian Wang and Bingyi Yang. Their work appears in journals such as Vaccines, Vaccine, Human Vaccines & Immunotherapeutics, Buildings and Global Health Research and Policy.
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.