Lily Yip
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
- Modeling and Simulation top 5%
Papers in ⓘ
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- HIV/AIDS drug development and treatment 10
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 detection and testing 5
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- Adenosine and Purinergic Signaling 4
- Co-authors
- M. Earl Balis (17 shared papers)Samira Mubareka (16 shared papers)Joseph Dancis (5 shared papers)Allison McGeer (10 shared papers)Nades Palaniyar (1 shared paper)Hartmut Grasemann (1 shared paper)Meraj A. Khan (1 shared paper)David N. Douda (1 shared paper)
- Journals
- Biochemistry (5 papers)Experimental Biology and Medicine (2 papers)Influenza and Other Respiratory Viruses (2 papers)World Journal of Surgical Oncology (2 papers)Biochemical Pharmacology (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Lily Yip
42 papers receiving 857 citations
Peers
Comparison fields: 5 of 118
- Infectious Diseases 390
- Modeling and Simulation 51
- Molecular Biology 435
- Epidemiology 216
- Immunology 131
Countries citing papers authored by Lily Yip
This map shows the geographic impact of Lily 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 Lily Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lily Yip more than expected).
Fields of papers citing papers by Lily Yip
This network shows the impact of papers produced by Lily 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 Lily Yip. The network helps show where Lily Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Lily 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 175 | |
| 2 | 2014 | 121 | |
| 3 | 1971 | 71 | |
| 4 | 2020 | 70 | |
| 5 | 2021 | 41 | |
| 6 | 1977 | 37 | |
| 7 | 1984 | 37 | |
| 8 | 1973 | 35 | |
| 9 | 2020 | 34 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 31 | |
| 12 | 2019 | 22 | |
| 13 | 2021 | 21 | |
| 14 | 1978 | 20 | |
| 15 | 1973 | 19 | |
| 16 | 2019 | 16 | |
| 17 | 1974 | 16 | |
| 18 | 1980 | 16 | |
| 19 | 1974 | 13 | |
| 20 | 2023 | 8 |
About Lily Yip
Lily Yip is a scholar working on Infectious Diseases, Physiology, Epidemiology, Molecular Biology and Oncology, having authored 47 papers that have together received 927 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (17 papers), HIV/AIDS drug development and treatment (10 papers), Cytomegalovirus and herpesvirus research (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (6 papers), Infection Control and Ventilation (5 papers), SARS-CoV-2 detection and testing (5 papers) and Adenosine and Purinergic Signaling (4 papers). The work is most often cited by research in Infectious Diseases (390 citations), Modeling and Simulation (51 citations), Molecular Biology (435 citations), Epidemiology (216 citations) and Immunology (131 citations). Lily Yip has collaborated with scholars based in Canada, United States and China. Frequent co-authors include M. Earl Balis, Samira Mubareka, Joseph Dancis, Allison McGeer, Nades Palaniyar, Hartmut Grasemann, Meraj A. Khan, David N. Douda, Robert C. Nowinski and Charles S. Rubin. Their work appears in journals such as Biochemistry, Experimental Biology and Medicine, Influenza and Other Respiratory Viruses, World Journal of Surgical Oncology and Biochemical Pharmacology.
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.