Albert Tai
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Gut microbiota and health 6
- CRISPR and Genetic Engineering 4
- Immunology 20
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Co-authors
- Brigitte T. Huber (9 shared papers)Anne Kane (4 shared papers)Christine Wanke (2 shared papers)Duy M. Dinh (2 shared papers)Honorine Ward (2 shared papers)G. Volpe (1 shared paper)Chad Duffalo (1 shared paper)Seema Bhalchandra (1 shared paper)
- Journals
- PLoS ONE (9 papers)The Journal of Immunology (4 papers)Blood (3 papers)Infection and Immunity (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Albert Tai
71 papers receiving 3.4k citations
Albert Tai's Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 691
- Neurology 238
- Virology 134
- Biological Psychiatry 66
- Molecular Biology 1.7k
Countries citing papers authored by Albert Tai
This map shows the geographic impact of Albert Tai'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 Albert Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Tai more than expected).
Fields of papers citing papers by Albert Tai
This network shows the impact of papers produced by Albert Tai. 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 Albert Tai. The network helps show where Albert Tai may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Tai, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Intestinal Microbiota, Microbial Translocation, and Systemic Inflammation in Chronic HIV Infection Hit paper breakdown → | 2014 | 373 |
| 2 | 2011 | 232 | |
| 3 | 2016 | 206 | |
| 4 | 2017 | 170 | |
| 5 | 2015 | 130 | |
| 6 | 2000 | 127 | |
| 7 | 1999 | 114 | |
| 8 | 2010 | 109 | |
| 9 | 2007 | 109 | |
| 10 | 2020 | 105 | |
| 11 | 2020 | 93 | |
| 12 | 2012 | 93 | |
| 13 | 2011 | 87 | |
| 14 | 2019 | 86 | |
| 15 | 2016 | 83 | |
| 16 | 2018 | 76 | |
| 17 | 2006 | 74 | |
| 18 | 2009 | 62 | |
| 19 | 2020 | 59 | |
| 20 | 2020 | 53 |
About Albert Tai
Albert Tai is a scholar working on Molecular Biology, Immunology, Physiology, Epidemiology and Infectious Diseases, having authored 74 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Gut microbiota and health (6 papers), Telomeres, Telomerase, and Senescence (5 papers), CRISPR and Genetic Engineering (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Reproductive tract infections research (4 papers), Viral-associated cancers and disorders (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (691 citations), Neurology (238 citations), Virology (134 citations), Biological Psychiatry (66 citations) and Molecular Biology (1.7k citations). Albert Tai has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Brigitte T. Huber, Anne Kane, Christine Wanke, Duy M. Dinh, Honorine Ward, G. Volpe, Chad Duffalo, Seema Bhalchandra, Santa Jeremy Ono and Patrick Cahan. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Blood, Infection and Immunity and Nature Communications.
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.