Hai Fang

103 papers and 3.5k indexed citations i.

About

Hai Fang is a scholar working on Epidemiology, Health and General Health Professions. According to data from OpenAlex, Hai Fang has authored 103 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 30 papers in Health and 28 papers in General Health Professions. Recurrent topics in Hai Fang’s work include Vaccine Coverage and Hesitancy (23 papers), Healthcare Policy and Management (18 papers) and Influenza Virus Research Studies (17 papers). Hai Fang is often cited by papers focused on Vaccine Coverage and Hesitancy (23 papers), Healthcare Policy and Management (18 papers) and Influenza Virus Research Studies (17 papers). Hai Fang collaborates with scholars based in United States, China and United Kingdom. Hai Fang's co-authors include John A. Rizzo, Michael T. French, Kathryn E. McCollister, Alexander N. Ortega, Candace Gunnarsson, Qingyue Meng, Jin Xu, Xiaoyun Liu, H Kotlarz and Beibei Yuan and has published in prestigious journals such as The Lancet, American Journal of Preventive Medicine and Medical Care.

In The Last Decade

Co-authorship network of co-authors of Hai Fang i

Fields of papers citing papers by Hai Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Fang. 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 Hai Fang. The network helps show where Hai Fang may publish in the future.

Countries citing papers authored by Hai Fang

Since Specialization
Citations

This map shows the geographic impact of Hai Fang'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 Hai Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Fang more than expected).

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.

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2025