Fernando Teque
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Innovation and Socioeconomic Development
Papers in
- Virology 9
- HIV Research and Treatment 9
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- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 3
- Co-authors
- Jay A. Levy (11 shared papers)Yuet Wai Kan (3 shared papers)Lin Ye (3 shared papers)Ashley I. Beyer (1 shared paper)Thomas James Cradick (1 shared paper)Marcus O. Muench (1 shared paper)Zhongxia Qi (1 shared paper)Gang Bao (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)AIDS (2 papers)Blood (1 paper)Microbiology and Molecular Biology Reviews (1 paper)Clinical and Vaccine Immunology (1 paper)
- Partner nations
- United StatesCzechiaPoland
In The Last Decade
Fernando Teque
15 papers receiving 501 citations
Peers
Comparison fields: 5 of 60
- Virology 146
- Business and International Management 43
- Aging 18
- Immunology 118
- Molecular Biology 311
Countries citing papers authored by Fernando Teque
This map shows the geographic impact of Fernando Teque'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 Fernando Teque with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Teque more than expected).
Fields of papers citing papers by Fernando Teque
This network shows the impact of papers produced by Fernando Teque. 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 Fernando Teque. The network helps show where Fernando Teque may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Teque, 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 | 2014 | 270 | |
| 2 | 2011 | 97 | |
| 3 | 2010 | 34 | |
| 4 | 2012 | 20 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2011 | 16 | |
| 8 | 2014 | 12 | |
| 9 | 2015 | 9 | |
| 10 | 2013 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 2022 | 1 |
About Fernando Teque
Fernando Teque is a scholar working on Virology, Immunology, Biotechnology, Genetics and Epidemiology, having authored 15 papers that have together received 523 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (7 papers), CRISPR and Genetic Engineering (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Cytomegalovirus and herpesvirus research (2 papers), RNA Interference and Gene Delivery (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Virology (146 citations), Business and International Management (43 citations), Aging (18 citations), Immunology (118 citations) and Molecular Biology (311 citations). Fernando Teque has collaborated with scholars based in United States, Czechia and Poland. Frequent co-authors include Jay A. Levy, Yuet Wai Kan, Lin Ye, Ashley I. Beyer, Thomas James Cradick, Marcus O. Muench, Zhongxia Qi, Gang Bao, Judy C. Chang and Jingwei Yu. Their work appears in journals such as Proceedings of the National Academy of Sciences, AIDS, Blood, Microbiology and Molecular Biology Reviews and Clinical and Vaccine 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.