Jacquelyn Gervay‐Hague
- Organic Chemistry top 1%
- Carbohydrate Chemistry and Synthesis 49
- Immunology top 5%
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 8
- Virology top 5%
- HIV Research and Treatment 13
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 40
- Chemical Synthesis and Analysis 23
- Biotechnology top 5%
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- Monoclonal and Polyclonal Antibodies Research 9
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- HIV/AIDS drug development and treatment 8
- Co-authors
- D. Christopher MeadowsWenjun DuRandy R. BrutkiewiczSon N. LamSuvarn S. KulkarniVenkataraman SriramKatherine D. McReynoldsGourapura J. Renukaradhya
- Cited by
- Organic ChemistryImmunologyVirology
- Journals
- Chemical Reviews (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (3 papers)
- Partner nations
- United StatesTaiwanIran
In The Last Decade
Jacquelyn Gervay‐Hague
90 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 106
- Organic Chemistry 1.7k
- Immunology 729
- Virology 134
- Molecular Biology 1.6k
- Biotechnology 111
Countries citing papers authored by Jacquelyn Gervay‐Hague
This map shows the geographic impact of Jacquelyn Gervay‐Hague'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 Jacquelyn Gervay‐Hague with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacquelyn Gervay‐Hague more than expected).
Fields of papers citing papers by Jacquelyn Gervay‐Hague
This network shows the impact of papers produced by Jacquelyn Gervay‐Hague. 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 Jacquelyn Gervay‐Hague. The network helps show where Jacquelyn Gervay‐Hague may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jacquelyn Gervay‐Hague, 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 | 2024 | 4 | |
| 2 | 2024 | 5 | |
| 3 | 2020 | 25 | |
| 4 | 2019 | 6 | |
| 5 | 2016 | 27 | |
| 6 | 2016 | 26 | |
| 7 | 2014 | 13 | |
| 8 | 2012 | 16 | |
| 9 | 2010 | 27 | |
| 10 | 2009 | 17 | |
| 11 | 2008 | 4 | |
| 12 | 2007 | 71 | |
| 13 | 2007 | 42 | |
| 14 | 2006 | 44 | |
| 15 | 2006 | 37 | |
| 16 | 2006 | 5 | |
| 17 | 2005 | 62 | |
| 18 | 2005 | 44 | |
| 19 | 2005 | 11 | |
| 20 | 2003 | 29 |
About Jacquelyn Gervay‐Hague
Jacquelyn Gervay‐Hague is a scholar working on Virology, Organic Chemistry and Molecular Biology, having authored 90 papers that have together received 3.1k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (49 papers), Glycosylation and Glycoproteins Research (40 papers), Chemical Synthesis and Analysis (23 papers), HIV Research and Treatment (13 papers), Immune Cell Function and Interaction (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), HIV/AIDS drug development and treatment (8 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Organic Chemistry (1.7k citations), Immunology (729 citations) and Virology (134 citations). Jacquelyn Gervay‐Hague has collaborated with scholars based in United States, Taiwan and Iran. Frequent co-authors include D. Christopher Meadows, Wenjun Du, Randy R. Brutkiewicz, Son N. Lam, Suvarn S. Kulkarni, Venkataraman Sriram, Katherine D. McReynolds, Gourapura J. Renukaradhya, Gang-yu Liu and Birte Nolting. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.