Fernando Teque

16 total papers · 622 total citations
15 papers, 478 citations indexed

About

Fernando Teque is a scholar working on Virology, Immunology and Molecular Biology. According to data from OpenAlex, Fernando Teque has authored 15 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Virology, 8 papers in Immunology and 5 papers in Molecular Biology. Recurrent topics in Fernando Teque's work include HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (7 papers) and CRISPR and Genetic Engineering (5 papers). Fernando Teque is often cited by papers focused on HIV Research and Treatment (10 papers), Immune Cell Function and Interaction (7 papers) and CRISPR and Genetic Engineering (5 papers). Fernando Teque collaborates with scholars based in United States, Czechia and Poland. Fernando Teque's co-authors include Jay A. Levy, Yuet Wai Kan, Lin Ye, Jingwei Yu, Jiaming Wang, Judy C. Chang, Ashley I. Beyer, Thomas J. Cradick, Marcus O. Muench and Zhongxia Qi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Fernando Teque

15 papers receiving 456 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fernando Teque	296	150	133	103	53	15	478
George N. Llewellyn	278 0.9×	168 1.1×	92 0.7×	152 1.5×	72 1.4×	10	457
Petra M. van Ham	288 1.0×	184 1.2×	65 0.5×	75 0.7×	151 2.8×	11	502
Wei Zhao	206 0.7×	45 0.3×	38 0.3×	112 1.1×	85 1.6×	15	454
Laurence Stensland	113 0.4×	42 0.3×	55 0.4×	64 0.6×	354 6.7×	10	467
Narasimhan J. Venkatachari	173 0.6×	299 2.0×	207 1.6×	50 0.5×	84 1.6×	16	498
Maureen Boyd	351 1.2×	189 1.3×	66 0.5×	204 2.0×	29 0.5×	12	453
Hanne Johansen	293 1.0×	47 0.3×	88 0.7×	71 0.7×	16 0.3×	12	429
Ke‐Qin Xin	179 0.6×	209 1.4×	119 0.9×	136 1.3×	79 1.5×	15	508
Rajnish S. Dave	204 0.7×	189 1.3×	87 0.7×	44 0.4×	69 1.3×	16	477
Brooke Harmon	139 0.5×	124 0.8×	92 0.7×	36 0.3×	86 1.6×	16	441

Countries citing papers authored by Fernando Teque

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fernando Teque

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Teque. A scholar is included among the top collaborators of Fernando Teque based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernando Teque. Fernando Teque is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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