Trinity Zang
- Virology top 0.1%
- HIV Research and Treatment 24
- Immunology top 1%
- interferon and immune responses 6
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 3
- Epidemiology top 1%
- Virology and Viral Diseases 8
- Herpesvirus Infections and Treatments 6
- Cell Biology top 2%
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- RNA Research and Splicing 7
- RNA and protein synthesis mechanisms 4
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- Mosquito-borne diseases and control 4
- Co-authors
- Paul D. BieniaszStuart J. D. NeilJuan Martin‐SerranoMatthew W. McNattThéodora HatziioannouSam J. WilsonDaniel Blanco-MeloMelissa Kane
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Trinity Zang
31 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Virology 3.1k
- Immunology 2.0k
- Infectious Diseases 1.5k
- Epidemiology 1.6k
- Cell Biology 472
Countries citing papers authored by Trinity Zang
This map shows the geographic impact of Trinity Zang'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 Trinity Zang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trinity Zang more than expected).
Fields of papers citing papers by Trinity Zang
This network shows the impact of papers produced by Trinity Zang. 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 Trinity Zang. The network helps show where Trinity Zang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Trinity Zang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 72 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 1 | |
| 7 | 2017 | 300 | |
| 8 | 2016 | 41 | |
| 9 | 2014 | 199 | |
| 10 | MX2 is an interferon-induced inhibitor of HIV-1 infectionbreakdown → | 2013 | 395 |
| 11 | 2013 | 99 | |
| 12 | 2012 | 47 | |
| 13 | 2011 | 42 | |
| 14 | 2010 | 124 | |
| 15 | 2009 | 467 | |
| 16 | 2009 | 249 | |
| 17 | Tetherin inhibits retrovirus release and is antagonized by HIV-1 Vpubreakdown → | 2008 | 1425 |
| 18 | 2004 | 68 | |
| 19 | 2001 | 76 | |
| 20 | HIV-1 and Ebola virus encode small peptide motifs that recruit Tsg101 to sites of particle assembly to facilitate egressbreakdown → | 2001 | 605 |
About Trinity Zang
Trinity Zang is a scholar working on Virology, Immunology, Biological Psychiatry, Infectious Diseases and Epidemiology, having authored 32 papers that have together received 5.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (24 papers), Virology and Viral Diseases (8 papers), RNA Research and Splicing (7 papers), interferon and immune responses (6 papers), Herpesvirus Infections and Treatments (6 papers), Mosquito-borne diseases and control (4 papers), RNA and protein synthesis mechanisms (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Virology (3.1k citations), Immunology (2.0k citations), Infectious Diseases (1.5k citations), Epidemiology (1.6k citations) and Cell Biology (472 citations). Trinity Zang has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Paul D. Bieniasz, Stuart J. D. Neil, Juan Martin‐Serrano, Matthew W. McNatt, Théodora Hatziioannou, Sam J. Wilson, Daniel Blanco-Melo, Melissa Kane, Marc C. Johnson and Sebla B. Kutluay. Their work appears in journals such as Nature, Journal of Virology, PLoS Pathogens, eLife and Proceedings of the National Academy of Sciences.
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.