Dan Bi
Impact in
- Epidemiology top 5%
- Cervical Cancer and HPV Research
- Influenza Virus Research Studies
- Autophagy in Disease and Therapy
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- Neonatal and fetal brain pathology
Papers in
- Epidemiology 19
- Cervical Cancer and HPV Research 18
- Influenza Virus Research Studies 1
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- Neonatal and fetal brain pathology 7
- Pediatric Urology and Nephrology Studies 1
- Co-authors
- Xiaoyang Wang (13 shared papers)Zhu Chang-lian (15 shared papers)Sanjoy Kumar Datta (6 shared papers)Frank Struyf (9 shared papers)Carina E. Mallard (4 shared papers)Henrik Hagberg (4 shared papers)Qing Shang (9 shared papers)Dengna Zhu (9 shared papers)
In The Last Decade
Dan Bi
42 papers receiving 868 citations
Peers
Comparison fields: 5 of 45
- Epidemiology 445
- Pediatrics, Perinatology and Child Health 112
- Psychiatry and Mental health 81
- Neurology 11
- Toxicology 5
Countries citing papers authored by Dan Bi
This map shows the geographic impact of Dan 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 Dan Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Bi more than expected).
Fields of papers citing papers by Dan Bi
This network shows the impact of papers produced by Dan 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 Dan Bi. The network helps show where Dan Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 62 | |
| 2 | 2014 | 60 | |
| 3 | 2016 | 53 | |
| 4 | 2014 | 51 | |
| 5 | 2015 | 48 | |
| 6 | 2010 | 46 | |
| 7 | 2019 | 44 | |
| 8 | 2017 | 43 | |
| 9 | 2016 | 37 | |
| 10 | 2014 | 33 | |
| 11 | 2014 | 31 | |
| 12 | 2017 | 30 | |
| 13 | 2015 | 29 | |
| 14 | 2016 | 28 | |
| 15 | Human papillomavirus-16/18 AS04-adjuvanted cervical cancer vaccine: immunogenicity and safety in healthy Chinese women from Hong Kong. | 2010 | 27 |
| 16 | 2011 | 27 | |
| 17 | 2022 | 26 | |
| 18 | 2014 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 18 |
About Dan Bi
Dan Bi is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health, Psychiatry and Mental health, Infectious Diseases and Cognitive Neuroscience, having authored 42 papers that have together received 880 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (18 papers), Cerebral Palsy and Movement Disorders (8 papers), Neonatal and fetal brain pathology (7 papers), Viral gastroenteritis research and epidemiology (4 papers), Pediatric Urology and Nephrology Studies (1 paper), Influenza Virus Research Studies (1 paper), Neonatal and Maternal Infections (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Epidemiology (445 citations), Pediatrics, Perinatology and Child Health (112 citations), Psychiatry and Mental health (81 citations), Neurology (11 citations) and Toxicology (5 citations). Dan Bi has collaborated with scholars based in China, Belgium and Sweden. Frequent co-authors include Xiaoyang Wang, Zhu Chang-lian, Sanjoy Kumar Datta, Frank Struyf, Carina E. Mallard, Henrik Hagberg, Qing Shang, Dengna Zhu, Jianmei Wu Leavenworth and Xiaoli Zhang. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Journal of Neuroinflammation, Vaccine, Cancer Medicine and International Journal of Cancer.
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.