Daoling Bi
Impact in
- Health top 2%
- Vaccine Coverage and Hesitancy
- Epidemiology top 5%
- Virology and Viral Diseases
- Respiratory viral infections research
- Influenza Virus Research Studies
- Pneumonia and Respiratory Infections
Papers in
- Epidemiology 12
- Virology and Viral Diseases 11
- Influenza Virus Research Studies 1
-
- Viral gastroenteritis research and epidemiology 1
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Charles W. LeBaron (5 shared papers)Bradley J. Sullivan (4 shared papers)Carol L. Beck (4 shared papers)Bagher Forghani (3 shared papers)David Sugerman (1 shared paper)Ismael R. Ortega‐Sanchez (1 shared paper)Albert E. Barskey (1 shared paper)Kimberly Ralston (1 shared paper)
- Journals
- PEDIATRICS (3 papers)The Journal of Infectious Diseases (3 papers)Clinical Infectious Diseases (2 papers)Open Forum Infectious Diseases (2 papers)International Journal of Epidemiology (1 paper)
- Partner nations
- United StatesUgandaSwitzerland
In The Last Decade
Daoling Bi
15 papers receiving 777 citations
Peers
Comparison fields: 5 of 61
- Health 295
- Epidemiology 565
- Microbiology 84
- Infectious Diseases 194
- Modeling and Simulation 39
Countries citing papers authored by Daoling Bi
This map shows the geographic impact of Daoling Bi'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 Daoling Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoling Bi more than expected).
Fields of papers citing papers by Daoling Bi
This network shows the impact of papers produced by Daoling Bi. 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 Daoling Bi. The network helps show where Daoling Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daoling Bi, 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 | 2010 | 230 | |
| 2 | 2005 | 96 | |
| 3 | 2007 | 95 | |
| 4 | 2008 | 71 | |
| 5 | 2009 | 57 | |
| 6 | 2014 | 54 | |
| 7 | 2020 | 47 | |
| 8 | 2015 | 40 | |
| 9 | 2005 | 29 | |
| 10 | 2018 | 27 | |
| 11 | 2006 | 27 | |
| 12 | 2005 | 20 | |
| 13 | 2020 | 14 | |
| 14 | 2007 | 4 | |
| 15 | 2014 | 3 |
About Daoling Bi
Daoling Bi is a scholar working on Epidemiology, Infectious Diseases, Health, Virology and Physiology, having authored 15 papers that have together received 814 indexed citations. Recurring topics across this work include Virology and Viral Diseases (11 papers), Viral gastroenteritis research and epidemiology (1 paper), Vaccine Coverage and Hesitancy (1 paper), Influenza Virus Research Studies (1 paper), Bacterial Infections and Vaccines (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Rabies epidemiology and control (1 paper) and Syphilis Diagnosis and Treatment (1 paper). The work is most often cited by research in Health (295 citations), Epidemiology (565 citations), Microbiology (84 citations), Infectious Diseases (194 citations) and Modeling and Simulation (39 citations). Daoling Bi has collaborated with scholars based in United States, Uganda and Switzerland. Frequent co-authors include Charles W. LeBaron, Bradley J. Sullivan, Carol L. Beck, Bagher Forghani, David Sugerman, Ismael R. Ortega‐Sanchez, Albert E. Barskey, Kimberly Ralston, Maryann G. Delea and Paul A. Rota. Their work appears in journals such as PEDIATRICS, The Journal of Infectious Diseases, Clinical Infectious Diseases, Open Forum Infectious Diseases and International Journal of Epidemiology.
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.