Everardo Macías

670 total citations
12 papers, 560 citations indexed

About

Everardo Macías is a scholar working on Oncology, Molecular Biology and Cell Biology. According to data from OpenAlex, Everardo Macías has authored 12 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 11 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Everardo Macías's work include Cancer-related Molecular Pathways (8 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Ubiquitin and proteasome pathways (4 papers). Everardo Macías is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Ubiquitin and proteasome pathways (4 papers). Everardo Macías collaborates with scholars based in United States, Sweden and South Korea. Everardo Macías's co-authors include Marcelo L. Rodríguez‐Puebla, Paula L. Miliani de Marval, John DiGiovanni, Claudio J. Conti, Hua Mao, Chad Deisenroth, Mikael S. Lindström, Krishna Bhat, Aiwen Jin and Yanping Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Cancer Cell.

In The Last Decade

Everardo Macías

12 papers receiving 557 citations

Peers

Everardo Macías
Landon G. Piluso United States
J Tian China
Margaret LaCava United States
Katie Ridd United States
Song-Ping Li Finland
Ioanna Mavrommati United Kingdom
Xinping Yang United States
Christelle Dubey Switzerland
Landon G. Piluso United States
Everardo Macías
Citations per year, relative to Everardo Macías Everardo Macías (= 1×) peers Landon G. Piluso

Countries citing papers authored by Everardo Macías

Since Specialization
Citations

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

Fields of papers citing papers by Everardo Macías

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Everardo Macías

This figure shows the co-authorship network connecting the top 25 collaborators of Everardo Macías. A scholar is included among the top collaborators of Everardo Macías 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 Everardo Macías. Everardo Macías 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.
Macías, Everardo, et al.. (2014). Stat3 Binds to mtDNA and Regulates Mitochondrial Gene Expression in Keratinocytes. Journal of Investigative Dermatology. 134(7). 1971–1980. 80 indexed citations
2.
3.
Macías, Everardo, et al.. (2013). Constitutive Stat3 activation alters behavior of hair follicle stem and progenitor cell populations. Molecular Carcinogenesis. 54(2). 121–133. 20 indexed citations
4.
Sistrunk, Christopher, Xian Wang, Sung Hyun Lee, et al.. (2013). Skp2 Deficiency Inhibits Chemical Skin Tumorigenesis Independent of p27Kip1 Accumulation. American Journal Of Pathology. 182(5). 1854–1864. 18 indexed citations
5.
Macías, Everardo, et al.. (2013). Role of Stat3 in Skin Carcinogenesis: Insights Gained from Relevant Mouse Models. Journal of Skin Cancer. 2013. 1–10. 31 indexed citations
6.
Macías, Everardo, Aiwen Jin, Chad Deisenroth, et al.. (2010). An ARF-Independent c-MYC-Activated Tumor Suppression Pathway Mediated by Ribosomal Protein-Mdm2 Interaction. Cancer Cell. 18(3). 231–243. 170 indexed citations
7.
Macías, Everardo, Paula L. Miliani de Marval, Adriana De Siervi, et al.. (2008). CDK2 Activation in Mouse Epidermis Induces Keratinocyte Proliferation but Does Not Affect Skin Tumor Development. American Journal Of Pathology. 173(2). 526–535. 13 indexed citations
8.
Macías, Everardo, Paula L. Miliani de Marval, Adrian M. Senderowicz, John P. Cullen, & Marcelo L. Rodríguez‐Puebla. (2008). Expression of CDK4 or CDK2 in Mouse Oral Cavity Is Retained in Adult Pituitary with Distinct Effects on Tumorigenesis. Cancer Research. 68(1). 162–171. 18 indexed citations
9.
Macías, Everardo, Yongbaek Kim, Paula L. Miliani de Marval, Andres J. Klein–Szanto, & Marcelo L. Rodríguez‐Puebla. (2007). Cdk2 Deficiency Decreases ras/CDK4-Dependent Malignant Progression, but Not myc-Induced Tumorigenesis. Cancer Research. 67(20). 9713–9720. 23 indexed citations
10.
Chien, Wei‐Ming, Stuart J. Rabin, Everardo Macías, et al.. (2006). Genetic mosaics reveal both cell-autonomous and cell-nonautonomous function of murine p27 Kip1. Proceedings of the National Academy of Sciences. 103(11). 4122–4127. 38 indexed citations
11.
Marval, Paula L. Miliani de, Everardo Macías, Robert J. Rounbehler, et al.. (2004). Lack of Cyclin-Dependent Kinase 4 Inhibits c- myc Tumorigenic Activities in Epithelial Tissues. Molecular and Cellular Biology. 24(17). 7538–7547. 85 indexed citations
12.
Marval, Paula L. Miliani de, Everardo Macías, Claudio J. Conti, & Marcelo L. Rodríguez‐Puebla. (2003). Enhanced malignant tumorigenesis in Cdk4 transgenic mice. Oncogene. 23(10). 1863–1873. 52 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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