J. Rafael Argüello

408 total citations
12 papers, 334 citations indexed

About

J. Rafael Argüello is a scholar working on Immunology, Virology and Hematology. According to data from OpenAlex, J. Rafael Argüello has authored 12 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 3 papers in Virology and 3 papers in Hematology. Recurrent topics in J. Rafael Argüello's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and HIV Research and Treatment (3 papers). J. Rafael Argüello is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and HIV Research and Treatment (3 papers). J. Rafael Argüello collaborates with scholars based in United Kingdom and Mexico. J. Rafael Argüello's co-authors include J. Alejandro Madrigal, Steven G. E. Marsh, Ann‐Margaret Little, John M. Goldman, David Gallardo, Alasdair McWhinnie, H. G. Prentice, Martha Pérez‐Rodríguez, Jean‐Marie Tiercy and Mike Bunce and has published in prestigious journals such as Nature Genetics, Blood and Journal of Investigative Dermatology.

In The Last Decade

J. Rafael Argüello

12 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Rafael Argüello United Kingdom 8 256 98 39 30 30 12 334
Ute V. Solloch Germany 11 320 1.3× 193 2.0× 34 0.9× 49 1.6× 39 1.3× 17 453
Kody Johnson United States 4 375 1.5× 27 0.3× 36 0.9× 16 0.5× 51 1.7× 6 449
Selvakumar Sukumar United States 8 324 1.3× 14 0.1× 57 1.5× 11 0.4× 39 1.3× 9 413
V.C. Suraj France 4 297 1.2× 78 0.8× 58 1.5× 14 0.5× 16 0.5× 5 424
Carolyn E. Rydyznski United States 6 278 1.1× 13 0.1× 35 0.9× 40 1.3× 33 1.1× 9 370
Douglas S. Smoot United States 8 320 1.3× 18 0.2× 85 2.2× 17 0.6× 60 2.0× 8 404
P. Bedford United Kingdom 9 248 1.0× 18 0.2× 73 1.9× 69 2.3× 25 0.8× 14 324
Nicola J. Booth United Kingdom 3 328 1.3× 20 0.2× 41 1.1× 142 4.7× 37 1.2× 3 443
Carole Dantin Switzerland 11 328 1.3× 81 0.8× 86 2.2× 9 0.3× 144 4.8× 18 490
Maria Grazia Ferrari United States 8 164 0.6× 20 0.2× 32 0.8× 42 1.4× 54 1.8× 13 321

Countries citing papers authored by J. Rafael Argüello

Since Specialization
Citations

This map shows the geographic impact of J. Rafael Argüello'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 J. Rafael Argüello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Rafael Argüello more than expected).

Fields of papers citing papers by J. Rafael Argüello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Rafael Argüello. 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 J. Rafael Argüello. The network helps show where J. Rafael Argüello may publish in the future.

Co-authorship network of co-authors of J. Rafael Argüello

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

All Works

12 of 12 papers shown
1.
Argüello, J. Rafael, et al.. (2019). Mexican HIV-1 Protease Sequence Diversity. AIDS Research and Human Retroviruses. 36(2). 161–166. 1 indexed citations
2.
Ramírez-GarcíaLuna, José L., et al.. (2018). Prevalence of Drug Resistance Mutations in Protease, Reverse Transcriptase, and Integrase Genes of North Central Mexico HIV Isolates. AIDS Research and Human Retroviruses. 34(6). 498–506. 6 indexed citations
3.
Argüello, J. Rafael, et al.. (2015). Molecular Characterization of Mexican HIV-1 Vif Sequences. AIDS Research and Human Retroviruses. 32(3). 290–295. 5 indexed citations
4.
Ramírez-GarcíaLuna, José L., et al.. (2015). Association of KIR3DL1/S1 and HLA-Bw4 with CD4 T cell counts in HIV-infected Mexican mestizos. Immunogenetics. 67(8). 413–424. 7 indexed citations
5.
Argüello, J. Rafael, et al.. (2003). HLA Typing With Reference Strand-Mediated Conformation Analysis. Humana Press eBooks. 173–190. 6 indexed citations
6.
Argüello, J. Rafael, Martha Pérez‐Rodríguez, Alasdair McWhinnie, et al.. (2000). Sequence-specific oligonucleotide probing for MICB alleles reveals associations with MICA and HLA-B. Immunogenetics. 51(7). 591–599. 22 indexed citations
7.
Clough, R. Lee, J. Rafael Argüello, Ruth Barber, et al.. (1999). Characterization of the Major Susceptibility Region for Psoriasis at Chromosome 6p21.3. Journal of Investigative Dermatology. 113(3). 322–328. 83 indexed citations
8.
Argüello, J. Rafael, et al.. (1999). Characterization of the MICA polymorphism by sequence-specific oligonucleotide probing. Immunogenetics. 49(6). 471–478. 24 indexed citations
9.
Argüello, J. Rafael, Ann‐Margaret Little, David Gallardo, et al.. (1998). Mutation detection and typing of polymorphic loci through double-strand conformation analysis. Nature Genetics. 18(2). 192–194. 90 indexed citations
10.
Argüello, J. Rafael, S.T. Cox, Alasdair McWhinnie, et al.. (1998). Application of RSCA for the typing of HLA-DPB1. Human Immunology. 59(11). 734–747. 12 indexed citations
11.
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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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