Glen M. Chew
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- Galectins and Cancer Biology
Papers in
- Virology 10
- HIV Research and Treatment 10
- Immunology 16
- Immune Cell Function and Interaction 9
- Galectins and Cancer Biology 8
- T-cell and Retrovirus Studies 4
- Co-authors
- Lishomwa C. Ndhlovu (22 shared papers)Mario Ostrowski (4 shared papers)Kiera Leigh Clayton (3 shared papers)Marion C. Lanteri (4 shared papers)Philip J. Norris (4 shared papers)Cecilia M. Shikuma (11 shared papers)Steven Grant Deeks (4 shared papers)Ravi Tandon (3 shared papers)
- Journals
- PLoS Pathogens (3 papers)AIDS Research and Human Retroviruses (3 papers)PLoS ONE (2 papers)Journal of Virus Eradication (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Glen M. Chew
25 papers receiving 945 citations
Peers
Comparison fields: 5 of 66
- Virology 279
- Immunology 552
- Infectious Diseases 165
- Emergency Medicine 73
- Oncology 191
Countries citing papers authored by Glen M. Chew
This map shows the geographic impact of Glen M. Chew'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 Glen M. Chew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen M. Chew more than expected).
Fields of papers citing papers by Glen M. Chew
This network shows the impact of papers produced by Glen M. Chew. 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 Glen M. Chew. The network helps show where Glen M. Chew may publish in the future.
Co-authors
The 25 scholars most cited alongside Glen M. Chew, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 266 | |
| 2 | 2013 | 106 | |
| 3 | 2015 | 80 | |
| 4 | 2014 | 74 | |
| 5 | 2014 | 68 | |
| 6 | 2016 | 68 | |
| 7 | 2013 | 57 | |
| 8 | 2019 | 29 | |
| 9 | 2011 | 26 | |
| 10 | 2014 | 25 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2014 | 17 | |
| 15 | 2017 | 15 | |
| 16 | 2018 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 7 |
About Glen M. Chew
Glen M. Chew is a scholar working on Virology, Immunology, Emergency Medicine, Oncology and Infectious Diseases, having authored 26 papers that have together received 955 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (9 papers), Galectins and Cancer Biology (8 papers), T-cell and Retrovirus Studies (4 papers), HIV-related health complications and treatments (4 papers), CRISPR and Genetic Engineering (2 papers), CAR-T cell therapy research (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Virology (279 citations), Immunology (552 citations), Infectious Diseases (165 citations), Emergency Medicine (73 citations) and Oncology (191 citations). Glen M. Chew has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Lishomwa C. Ndhlovu, Mario Ostrowski, Kiera Leigh Clayton, Marion C. Lanteri, Philip J. Norris, Cecilia M. Shikuma, Steven Grant Deeks, Ravi Tandon, Shariq Mujib and Toshiro Niki. Their work appears in journals such as PLoS Pathogens, AIDS Research and Human Retroviruses, PLoS ONE, Journal of Virus Eradication and The Journal of Immunology.
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.