Roberto Rangel

2.4k total citations
54 papers, 1.8k citations indexed

About

Roberto Rangel is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Roberto Rangel has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Immunology and 17 papers in Oncology. Recurrent topics in Roberto Rangel's work include interferon and immune responses (7 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (6 papers). Roberto Rangel is often cited by papers focused on interferon and immune responses (7 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (6 papers). Roberto Rangel collaborates with scholars based in United States, Mexico and Japan. Roberto Rangel's co-authors include Renata Pasqualini, Wadih Arap, Liliana Guzman‐Rojas, Juri G. Gelovani, Héctor Martínez-Valdez, Jessica D. Sun, Amin Hajitou, Martin Trepel, Suren Soghomonyan and Mian M. Alauddin and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Roberto Rangel

53 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Rangel United States 25 940 443 389 283 243 54 1.8k
Marina Cardó‐Vila United States 25 1.0k 1.1× 376 0.8× 345 0.9× 243 0.9× 431 1.8× 31 1.7k
Hyo Jeong Hong South Korea 27 1.4k 1.5× 410 0.9× 422 1.1× 146 0.5× 474 2.0× 95 2.4k
Qian Zhong China 28 1.2k 1.3× 632 1.4× 432 1.1× 539 1.9× 80 0.3× 102 2.4k
Linda Smit Netherlands 29 1.3k 1.4× 289 0.7× 743 1.9× 293 1.0× 283 1.2× 69 2.8k
Paola Fortugno Italy 18 1.1k 1.2× 358 0.8× 443 1.1× 97 0.3× 179 0.7× 42 1.8k
Aurelia Rughetti Italy 27 954 1.0× 622 1.4× 1.0k 2.6× 206 0.7× 312 1.3× 81 1.9k
Nelly Kieffer Luxembourg 29 1.0k 1.1× 344 0.8× 383 1.0× 310 1.1× 207 0.9× 61 2.9k
Jochen Maurer Germany 24 987 1.1× 521 1.2× 146 0.4× 333 1.2× 190 0.8× 62 1.8k
Xi Zhan United States 31 2.0k 2.1× 400 0.9× 434 1.1× 373 1.3× 83 0.3× 58 3.6k
Olaf Heidenreich United Kingdom 36 3.0k 3.2× 613 1.4× 609 1.6× 491 1.7× 82 0.3× 136 4.1k

Countries citing papers authored by Roberto Rangel

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Rangel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Rangel. 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 Roberto Rangel. The network helps show where Roberto Rangel may publish in the future.

Co-authorship network of co-authors of Roberto Rangel

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

All Works

20 of 20 papers shown
1.
May, Catherine Lee, Roberto Rangel, Johad Khoury, et al.. (2025). Separation of telomere protection from length regulation by two different point mutations at amino acid 492 of RTEL1. Nucleic Acids Research. 53(11). 1 indexed citations
2.
3.
Shi, Yewen, Xiaoyong Ren, Shaolong Cao, et al.. (2023). TP53 gain-of-function mutation modulates the immunosuppressive microenvironment in non-HPV-associated oral squamous cell carcinoma. Journal for ImmunoTherapy of Cancer. 11(8). e006666–e006666. 16 indexed citations
4.
Rangel, Roberto, et al.. (2023). 1494 Role of gain of function p53 mutations in macrophage polarization and myeloid-derived suppressor cells in head and neck squamous cell carcinoma. SHILAP Revista de lepidopterología. A1658–A1658. 1 indexed citations
5.
Ayala‐Orozco, Ciceron, Diego E. Galvez‐Aranda, Jorge M. Seminario, et al.. (2023). Molecular jackhammers eradicate cancer cells by vibronic-driven action. Nature Chemistry. 16(3). 456–465. 24 indexed citations
6.
Rangel, Roberto, et al.. (2022). Ubiquitin of Entamoeba histolytica induces antibody response in patients with invasive amoebiasis. Parasite Immunology. 44(7). e12919–e12919. 1 indexed citations
7.
Shi, Yewen, Tongxin Xie, Bingbing Wang, et al.. (2022). Mutant p53 drives an immune cold tumor immune microenvironment in oral squamous cell carcinoma. Communications Biology. 5(1). 757–757. 24 indexed citations
8.
Kodama, Michiko, Jean C. Tien, Justin Y. Newberg, et al.. (2021). Sleeping Beauty Transposon Mutagenesis Identifies Genes Driving the Initiation and Metastasis of Uterine Leiomyosarcoma. Cancer Research. 81(21). 5413–5424. 7 indexed citations
9.
Rangel, Roberto, et al.. (2020). Glycan moieties in Entamoeba histolytica ubiquitin are immunodominant. Parasite Immunology. 43(4). e12812–e12812. 2 indexed citations
10.
Rangel, Roberto, Liliana Guzman‐Rojas, Takahiro Kodama, et al.. (2017). Identification of New Tumor Suppressor Genes in Triple-Negative Breast Cancer. Cancer Research. 77(15). 4089–4101. 26 indexed citations
11.
Aparicio, Francisco Javier, et al.. (2014). Ahorro de energía en aplicaciones electrónicas de la domótica. 6(2). 1–9. 1 indexed citations
12.
Dondossola, Eleonora, Roberto Rangel, Liliana Guzman‐Rojas, et al.. (2013). CD13-positive bone marrow-derived myeloid cells promote angiogenesis, tumor growth, and metastasis. Proceedings of the National Academy of Sciences. 110(51). 20717–20722. 34 indexed citations
13.
Campos-Acevedo, Luis Daniel, et al.. (2013). A novel phenotype characterized by digital abnormalities, intellectual disability, and short stature in a Mexican family maps to Xp11.4–p11.21. American Journal of Medical Genetics Part A. 161(2). 237–243. 4 indexed citations
14.
Rangel, Roberto, Liliana Guzman‐Rojas, Lucia Le Roux, et al.. (2012). Combinatorial targeting and discovery of ligand-receptors in organelles of mammalian cells. Nature Communications. 3(1). 788–788. 36 indexed citations
15.
Tagore, Debarati M., Whitney M. Nolte, John M. Neveu, et al.. (2008). Peptidase substrates via global peptide profiling. Nature Chemical Biology. 5(1). 23–25. 50 indexed citations
16.
Hajitou, Amin, Martin Trepel, Caroline E. Lilley, et al.. (2006). A Hybrid Vector for Ligand-Directed Tumor Targeting and Molecular Imaging. Cell. 125(2). 385–398. 208 indexed citations
17.
Bruce, Shirley R., Roberto Rangel, Liliana Guzman‐Rojas, et al.. (2005). The Human AKNA Gene Expresses Multiple Transcripts and Protein Isoforms as a Result of Alternative Promoter Usage, Splicing, and Polyadenylation. DNA and Cell Biology. 24(5). 325–338. 17 indexed citations
18.
Rangel, Roberto, Eric Wieder, Jeffrey J. Molldrem, et al.. (2005). Assembly of the κ PreB Receptor Requires a Vκ-like Protein Encoded by a Germline Transcript. Journal of Biological Chemistry. 280(18). 17807–17814. 8 indexed citations
19.
Guzman‐Rojas, Liliana, Roberto Rangel, Dat X. Nghiem, et al.. (2003). In vivo expression of interleukin‐8, and regulated on activation, normal, T‐cell expressed, and secreted, by human germinal centre B lymphocytes. Immunology. 110(3). 296–303. 20 indexed citations
20.
Guzman‐Rojas, Liliana, et al.. (2002). Life and death within germinal centres: a double‐edged sword. Immunology. 107(2). 167–175. 62 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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