Carlos J. Pérez

1.1k total citations
29 papers, 776 citations indexed

About

Carlos J. Pérez is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Carlos J. Pérez has authored 29 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Carlos J. Pérez's work include Insect Resistance and Genetics (5 papers), Insect Pest Control Strategies (4 papers) and Cancer-related Molecular Pathways (4 papers). Carlos J. Pérez is often cited by papers focused on Insect Resistance and Genetics (5 papers), Insect Pest Control Strategies (4 papers) and Cancer-related Molecular Pathways (4 papers). Carlos J. Pérez collaborates with scholars based in United States, Spain and Argentina. Carlos J. Pérez's co-authors include Anthony M. Shelton, Fernando Benavides, Jorge Blando, Marcelo G. Kazanietz, Rachana Garg, Marco Arrese, Arnoldo Riquelme, Mario Calvo, Osvaldo J. López and Jaime Labarca and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Scientific Reports.

In The Last Decade

Carlos J. Pérez

26 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos J. Pérez United States 16 431 111 100 95 89 29 776
Jianhui Xie China 18 563 1.3× 66 0.6× 73 0.7× 166 1.7× 45 0.5× 50 919
Daniel Carlos Ferreira Lanza Brazil 15 268 0.6× 62 0.6× 63 0.6× 190 2.0× 33 0.4× 42 745
Mathilde Blois France 8 172 0.4× 149 1.3× 127 1.3× 122 1.3× 41 0.5× 16 673
Lyndall J. Briggs Australia 15 936 2.2× 160 1.4× 134 1.3× 139 1.5× 16 0.2× 21 1.3k
Amin Ramezani Iran 15 243 0.6× 101 0.9× 179 1.8× 99 1.0× 46 0.5× 77 705
Todd W. Markowski United States 18 410 1.0× 106 1.0× 46 0.5× 125 1.3× 70 0.8× 46 846
Fei Teng China 16 1.2k 2.7× 88 0.8× 107 1.1× 58 0.6× 46 0.5× 39 1.5k
Li-Kwan Chang Taiwan 16 350 0.8× 178 1.6× 77 0.8× 141 1.5× 16 0.2× 30 722
Jun Xie China 14 356 0.8× 193 1.7× 31 0.3× 92 1.0× 18 0.2× 48 781
Jean‐François Pageaux France 15 705 1.6× 33 0.3× 93 0.9× 140 1.5× 162 1.8× 29 1.0k

Countries citing papers authored by Carlos J. Pérez

Since Specialization
Citations

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

Fields of papers citing papers by Carlos J. Pérez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos J. Pérez

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos J. Pérez. A scholar is included among the top collaborators of Carlos J. Pérez 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 Carlos J. Pérez. Carlos J. Pérez 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.
Rico-Fontalvo, Jorge, et al.. (2021). Vacunación en pacientes con enfermedad renal crónica. Dialnet (Universidad de la Rioja). 17(1). 6.
2.
Pérez, Carlos J., et al.. (2021). Infección por Sars-Cov-2 y síndrome de Guillain-Barré. 17(4). 2.
3.
Raveendran, Muthuswamy, R. Alan Harris, Fernando Benavides, et al.. (2018). Mismatch repair gene mutations lead to lynch syndrome colorectal cancer in rhesus macaques. Genes & Cancer. 9(3-4). 142–152. 16 indexed citations
4.
Garg, Rachana, Jorge Blando, Carlos J. Pérez, et al.. (2018). COX-2 mediates pro-tumorigenic effects of PKCε in prostate cancer. Oncogene. 37(34). 4735–4749. 50 indexed citations
6.
Garg, Rachana, Jorge Blando, Carlos J. Pérez, et al.. (2017). Protein Kinase C Epsilon Cooperates with PTEN Loss for Prostate Tumorigenesis through the CXCL13-CXCR5 Pathway. Cell Reports. 19(2). 375–388. 75 indexed citations
7.
Napoli, Eleonora, Gyu‐Yong Song, Siming Liu, et al.. (2017). Zdhhc13-dependent Drp1 S-palmitoylation impacts brain bioenergetics, anxiety, coordination and motor skills. Scientific Reports. 7(1). 12796–12796. 43 indexed citations
8.
Platt, Craig D., Janet Chou, Yousef R. Badran, et al.. (2017). Leucine-rich repeat containing 8A (LRRC8A)–dependent volume-regulated anion channel activity is dispensable for T-cell development and function. Journal of Allergy and Clinical Immunology. 140(6). 1651–1659.e1. 39 indexed citations
9.
Pérez, Carlos J.. (2015). [Probiotics for the treating acute diarrhea and preventing antibiotic-associated diarrhea in children].. PubMed. 31 Suppl 1. 64–7. 6 indexed citations
10.
Pérez, Carlos J., Lars Mecklenburg, Jean Jaubert, et al.. (2015). Increased Susceptibility to Skin Carcinogenesis Associated with a Spontaneous Mouse Mutation in the Palmitoyl Transferase Zdhhc13 Gene. Journal of Investigative Dermatology. 135(12). 3133–3143. 24 indexed citations
11.
Garg, Rachana, Jorge Blando, Carlos J. Pérez, et al.. (2012). Activation of Nuclear Factor κB (NF-κB) in Prostate Cancer Is Mediated by Protein Kinase C ϵ (PKCϵ). Journal of Biological Chemistry. 287(44). 37570–37582. 60 indexed citations
12.
Pérez, Carlos J., Jan Parker‐Thornburg, Carol Mikulec, et al.. (2011). SKHIN/Sprd, a new genetically defined inbred hairless mouse strain for UV‐induced skin carcinogenesis studies. Experimental Dermatology. 21(3). 217–220. 5 indexed citations
13.
Benavides, Fernando, Carlos J. Pérez, Jorge Blando, et al.. (2011). Protective role of cathepsin L in mouse skin carcinogenesis. Molecular Carcinogenesis. 51(4). 352–361. 22 indexed citations
14.
Benavides, Fernando, Jorge Blando, Carlos J. Pérez, et al.. (2011). Transgenic overexpression of PKCε in the mouse prostate induces preneoplastic lesions. Cell Cycle. 10(2). 268–277. 46 indexed citations
15.
Pérez, Carlos J., Jean Jaubert, Jean‐Louis Guénet, et al.. (2010). Two Hypomorphic Alleles of Mouse Ass1 as a New Animal Model of Citrullinemia Type I and Other Hyperammonemic Syndromes. American Journal Of Pathology. 177(4). 1958–1968. 22 indexed citations
16.
Pérez, Carlos J., et al.. (2009). Encuesta exploratoria de infección por Brucella canis en perros de Villavicencio - Colombia. Revista Mvz Córdoba. 14(2). 4 indexed citations
17.
Rojas, Paola, Fernando Benavides, Jorge Blando, et al.. (2008). Enhanced skin carcinogenesis and lack of thymus hyperplasia in transgenic mice expressing human cyclin D1b (CCND1b). Molecular Carcinogenesis. 48(6). 508–516. 8 indexed citations
18.
Riquelme, Arnoldo, Mario Calvo, Ana María Guzmán, et al.. (2003). Saccharomyces cerevisiae Fungemia After Saccharomyces boulardii Treatment in Immunocompromised Patients. Journal of Clinical Gastroenterology. 36(1). 41–43. 121 indexed citations
19.
López, Osvaldo J., et al.. (1998). A single VH family and long CDR3s are the targets for hypermutation in bovine immunoglobulin heavy chains. Immunological Reviews. 162(1). 55–66. 44 indexed citations
20.
Matorras, Roberto, et al.. (1995). Sperm morphology analysis (strict criteria) in male infertility is not a prognostic factor in intrauterine insemination with husband’s sperm. Fertility and Sterility. 63(3). 608–611. 53 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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