Jorge Reyes‐del Valle

887 total citations
15 papers, 721 citations indexed

About

Jorge Reyes‐del Valle is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Jorge Reyes‐del Valle has authored 15 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Epidemiology. Recurrent topics in Jorge Reyes‐del Valle's work include Mosquito-borne diseases and control (8 papers), Virology and Viral Diseases (6 papers) and Viral Infections and Vectors (6 papers). Jorge Reyes‐del Valle is often cited by papers focused on Mosquito-borne diseases and control (8 papers), Virology and Viral Diseases (6 papers) and Viral Infections and Vectors (6 papers). Jorge Reyes‐del Valle collaborates with scholars based in United States, Mexico and United Kingdom. Jorge Reyes‐del Valle's co-authors include Rosa María del Ángel, Fernando Medina, Salvador Chávez-Salinas, Roberto Cattaneo, Michael B. McChesney, Gregory Hodge, Ivonne Ceballos‐Olvera, Juan Santiago Salas-Benito, Vincent H. J. Léonard and Martha Yocupicio‐Monroy and has published in prestigious journals such as Journal of Virology, Vaccine and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Jorge Reyes‐del Valle

14 papers receiving 702 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jorge Reyes‐del Valle United States 12 399 374 204 156 105 15 721
Wen-Yang Tsai United States 14 586 1.5× 651 1.7× 136 0.7× 97 0.6× 92 0.9× 24 860
David Hallengärd Sweden 16 434 1.1× 373 1.0× 152 0.7× 187 1.2× 200 1.9× 27 772
Masayuki Tadano Japan 16 619 1.6× 698 1.9× 146 0.7× 97 0.6× 51 0.5× 39 912
Rong-Hong Hua China 18 450 1.1× 246 0.7× 294 1.4× 157 1.0× 91 0.9× 49 817
Ada M. B. Alves Brazil 18 638 1.6× 782 2.1× 143 0.7× 101 0.6× 123 1.2× 37 997
Sherry L. Haller United States 13 246 0.6× 244 0.7× 211 1.0× 173 1.1× 71 0.7× 20 653
Ronald C. Weir Australia 15 618 1.5× 718 1.9× 204 1.0× 179 1.1× 84 0.8× 24 1.1k
Vladimir Yamshchikov United States 15 597 1.5× 696 1.9× 115 0.6× 89 0.6× 60 0.6× 27 877
Jesse H. Erasmus United States 17 804 2.0× 662 1.8× 143 0.7× 244 1.6× 129 1.2× 47 1.1k
Valérie Najburg France 9 294 0.7× 201 0.5× 177 0.9× 144 0.9× 146 1.4× 17 539

Countries citing papers authored by Jorge Reyes‐del Valle

Since Specialization
Citations

This map shows the geographic impact of Jorge Reyes‐del Valle'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 Jorge Reyes‐del Valle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Reyes‐del Valle more than expected).

Fields of papers citing papers by Jorge Reyes‐del Valle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Reyes‐del Valle. 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 Jorge Reyes‐del Valle. The network helps show where Jorge Reyes‐del Valle may publish in the future.

Co-authorship network of co-authors of Jorge Reyes‐del Valle

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Reyes‐del Valle. A scholar is included among the top collaborators of Jorge Reyes‐del Valle 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 Jorge Reyes‐del Valle. Jorge Reyes‐del Valle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Kim, Mi‐Young, Craig J. van Dolleweerd, Alastair Copland, et al.. (2017). Molecular engineering and plant expression of an immunoglobulin heavy chain scaffold for delivery of a dengue vaccine candidate. Plant Biotechnology Journal. 15(12). 1590–1601. 31 indexed citations
2.
Valle, Jorge Reyes‐del, et al.. (2017). A Recombinant Measles Vaccine with Enhanced Resistance to Passive Immunity. Viruses. 9(10). 265–265.
3.
Valle, Jorge Reyes‐del, et al.. (2016). Generation of a More Immunogenic Measles Vaccine by Increasing Its Hemagglutinin Expression. Journal of Virology. 90(11). 5270–5279. 3 indexed citations
4.
Kim, Miyoung, Rajko Reljić, Jacquelyn Kilbourne, et al.. (2015). Novel vaccination approach for dengue infection based on recombinant immune complex universal platform. Vaccine. 33(15). 1830–1838. 37 indexed citations
5.
Valle, Jorge Reyes‐del, et al.. (2015). Dengue Laboratory Diagnosis: Still Some Room for Improvement. Future Virology. 10(7). 845–857. 1 indexed citations
6.
Valle, Jorge Reyes‐del, Juan Santiago Salas-Benito, Rubén Soto-Acosta, & Rosa María del Ángel. (2014). Dengue Virus Cellular Receptors and Tropism. Current Tropical Medicine Reports. 1(1). 36–43. 21 indexed citations
7.
Valle, Jorge Reyes‐del, Cynthia de la Fuente, Christoph Springfeld, et al.. (2012). Broadly Neutralizing Immune Responses against Hepatitis C Virus Induced by Vectored Measles Viruses and a Recombinant Envelope Protein Booster. Journal of Virology. 86(21). 11558–11566. 35 indexed citations
8.
Léonard, Vincent H. J., Gregory Hodge, Jorge Reyes‐del Valle, Michael B. McChesney, & Roberto Cattaneo. (2010). Measles Virus Selectively Blind to Signaling Lymphocytic Activation Molecule (SLAM; CD150) Is Attenuated and Induces Strong Adaptive Immune Responses in Rhesus Monkeys. Journal of Virology. 84(7). 3413–3420. 66 indexed citations
9.
Devaux, Patricia, Andrew W. Hudacek, Gregory Hodge, et al.. (2010). A Recombinant Measles Virus Unable To Antagonize STAT1 Function Cannot Control Inflammation and Is Attenuated in Rhesus Monkeys. Journal of Virology. 85(1). 348–356. 47 indexed citations
10.
Valle, Jorge Reyes‐del, Gregory Hodge, Michael B. McChesney, & Roberto Cattaneo. (2009). Protective Anti-Hepatitis B Virus Responses in Rhesus Monkeys Primed with a Vectored Measles Virus and Boosted with a Single Dose of Hepatitis B Surface Antigen. Journal of Virology. 83(17). 9013–9017. 21 indexed citations
11.
Chávez-Salinas, Salvador, Ivonne Ceballos‐Olvera, Jorge Reyes‐del Valle, Fernando Medina, & Rosa María del Ángel. (2008). Heat shock effect upon dengue virus replication into U937 cells. Virus Research. 138(1-2). 111–118. 32 indexed citations
12.
Salas-Benito, Juan Santiago, et al.. (2007). Evidence that the 45-kD Glycoprotein, Part of a Putative Dengue Virus Receptor Complex in the Mosquito Cell Line C6/36, Is a Heat-Shock–Related Protein. American Journal of Tropical Medicine and Hygiene. 77(2). 283–290. 50 indexed citations
13.
Valle, Jorge Reyes‐del, Salvador Chávez-Salinas, Fernando Medina, & Rosa María del Ángel. (2005). Heat Shock Protein 90 and Heat Shock Protein 70 Are Components of Dengue Virus Receptor Complex in Human Cells. Journal of Virology. 79(8). 4557–4567. 303 indexed citations
14.
Valle, Jorge Reyes‐del & Rosa María del Ángel. (2003). Isolation of putative dengue virus receptor molecules by affinity chromatography using a recombinant E protein ligand. Journal of Virological Methods. 116(1). 95–102. 32 indexed citations
15.
Yocupicio‐Monroy, Martha, Fernando Medina, Jorge Reyes‐del Valle, & Rosa María del Ángel. (2003). Cellular Proteins from Human Monocytes Bind to Dengue 4 Virus Minus-Strand 3′ Untranslated Region RNA. Journal of Virology. 77(5). 3067–3076. 42 indexed citations

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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