Chi Wai Yip
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
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- Cancer-related molecular mechanisms research
Papers in
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- Tuberculosis Research and Epidemiology 8
- Viral gastroenteritis research and epidemiology 4
- SARS-CoV-2 and COVID-19 Research 4
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- Cancer-related molecular mechanisms research 6
- Co-authors
- ST Cheung (13 shared papers)Kai Man Kam (8 shared papers)Chung-Chau Hon (7 shared papers)Fanya Zeng (7 shared papers)Sheung Tat Fan (9 shared papers)Phyllis F. Cheung (10 shared papers)Tan To Cheung (8 shared papers)Linda W.C. Ng (6 shared papers)
In The Last Decade
Chi Wai Yip
40 papers receiving 918 citations
Peers
Comparison fields: 5 of 98
- Infectious Diseases 311
- Cancer Research 108
- Epidemiology 239
- Animal Science and Zoology 62
- Oncology 132
Countries citing papers authored by Chi Wai Yip
This map shows the geographic impact of Chi Wai Yip'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 Chi Wai Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Wai Yip more than expected).
Fields of papers citing papers by Chi Wai Yip
This network shows the impact of papers produced by Chi Wai Yip. 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 Chi Wai Yip. The network helps show where Chi Wai Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi Wai Yip, 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 | 2006 | 80 | |
| 2 | 2020 | 72 | |
| 3 | 2022 | 63 | |
| 4 | 2004 | 53 | |
| 5 | 2019 | 50 | |
| 6 | 2005 | 44 | |
| 7 | 2011 | 44 | |
| 8 | Pyogenic brain abscess: findings from in vivo 1.5-T and 11.7-T in vitro proton MR spectroscopy. | 2005 | 44 |
| 9 | 2014 | 39 | |
| 10 | 2009 | 33 | |
| 11 | 2016 | 31 | |
| 12 | 2021 | 31 | |
| 13 | 2006 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2009 | 28 | |
| 16 | 2014 | 27 | |
| 17 | 2012 | 27 | |
| 18 | 2006 | 26 | |
| 19 | 2012 | 26 | |
| 20 | 1993 | 19 |
About Chi Wai Yip
Chi Wai Yip is a scholar working on Infectious Diseases, Cancer Research, Epidemiology, Molecular Biology and Animal Science and Zoology, having authored 42 papers that have together received 941 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (6 papers), Cancer-related molecular mechanisms research (6 papers), RNA Research and Splicing (5 papers), Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Infectious Diseases (311 citations), Cancer Research (108 citations), Epidemiology (239 citations), Animal Science and Zoology (62 citations) and Oncology (132 citations). Chi Wai Yip has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include ST Cheung, Kai Man Kam, Chung-Chau Hon, Fanya Zeng, Sheung Tat Fan, Phyllis F. Cheung, Tan To Cheung, Linda W.C. Ng, Kwok‐Hung Chan and Irene Oi‐Lin Ng. Their work appears in journals such as PLoS ONE, Clinical and Vaccine Immunology, Diagnostic Microbiology and Infectious Disease, World Journal of Microbiology and Biotechnology and Nucleic Acids Research.
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.