Christopher G. Peña

1.2k total citations
10 papers, 296 citations indexed

About

Christopher G. Peña is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Christopher G. Peña has authored 10 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Christopher G. Peña's work include Genetic factors in colorectal cancer (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Reproductive Biology and Fertility (2 papers). Christopher G. Peña is often cited by papers focused on Genetic factors in colorectal cancer (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Reproductive Biology and Fertility (2 papers). Christopher G. Peña collaborates with scholars based in United States. Christopher G. Peña's co-authors include Diego H. Castrillón, Yuji Nakada, Hatice D. Saatcioglu, Gina M. Aloisio, Ileana Cuevas, Michael D. Baker, Anita Sengupta, F. Kent Hamra, Abhijit Bugde and James F. Amatruda and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Oncogene.

In The Last Decade

Christopher G. Peña

10 papers receiving 294 citations

Peers

Christopher G. Peña

PHEOH

GENET

IMMUN

Yangxing Zhao China

Thijs Roelofsen Netherlands

Paula Embury United States

M. Glaucia Teixeira United States

Yoshiaki Minato Japan

Sugandhi A. Tharapel United States

André Iovane United States

Astrid Menning Germany

Eric Morency United States

Yangxing Zhao China

Christopher G. Peña

208 ×1.3

68 ×0.6

90 ×0.9

PHEOH

78 ×1.1

GENET

20 ×0.3

IMMUN

Citations per year, relative to Christopher G. Peña Christopher G. Peña (= 1×) peers Yangxing Zhao

Countries citing papers authored by Christopher G. Peña

Since Specialization

Citations

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

Fields of papers citing papers by Christopher G. Peña

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G. Peña. 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 Christopher G. Peña. The network helps show where Christopher G. Peña may publish in the future.

Co-authorship network of co-authors of Christopher G. Peña

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

All Works

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10 of 10 papers shown

Peña, Christopher G., et al.. (2022). Chicago EYES on Cancer: Fostering Diversity in Biomedicine through Cancer Research Training for Students and Teachers. PubMed. 5(2). 2 indexed citations

Aloisio, Gina M., Ileana Cuevas, Yuji Nakada, Christopher G. Peña, & Diego H. Castrillón. (2016). Visualization and Lineage Tracing of Pax7+ Spermatogonial Stem Cells in the Mouse. Methods in molecular biology. 1463. 139–154. 1 indexed citations

Peña, Christopher G. & Diego H. Castrillón. (2016). LKB1 as a Tumor Suppressor in Uterine Cancer: Mouse Models and Translational Studies. Advances in experimental medicine and biology. 943. 211–241. 4 indexed citations

Baker, Michael D., Hatice D. Saatcioglu, Gina M. Aloisio, et al.. (2015). Regulation of FOXO3 subcellular localization by Kit ligand in the neonatal mouse ovary. Journal of Assisted Reproduction and Genetics. 32(12). 1741–1747. 15 indexed citations

Peña, Christopher G., Yuji Nakada, Hatice D. Saatcioglu, et al.. (2015). LKB1 loss promotes endometrial cancer progression via CCL2-dependent macrophage recruitment. Journal of Clinical Investigation. 125(11). 4063–4076. 72 indexed citations

Ezzati, Mohammad, Mark D. Baker, Gina M. Aloisio, et al.. (2014). Regulation of foxo3 subcellular localization by kit ligand in the neonatal mouse ovary. Fertility and Sterility. 102(3). e117–e118. 1 indexed citations

Aloisio, Gina M., Yuji Nakada, Hatice D. Saatcioglu, et al.. (2014). PAX7 expression defines germline stem cells in the adult testis. Journal of Clinical Investigation. 124(9). 3929–3944. 122 indexed citations

Nakada, Yuji, Thomas G. Stewart, Christopher G. Peña, et al.. (2013). The LKB1 Tumor Suppressor as a Biomarker in Mouse and Human Tissues. PLoS ONE. 8(9). e73449–e73449. 15 indexed citations

Akbay, Esra A., Christopher G. Peña, Yuji Nakada, et al.. (2012). Cooperation between p53 and the telomere-protecting shelterin component Pot1a in endometrial carcinogenesis. Oncogene. 32(17). 2211–2219. 24 indexed citations

10.

Sharma, Jyotika, Qun Li, Bibhuti B. Mishra, Christopher G. Peña, & Judy M. Teale. (2009). Lethal pulmonary infection with Francisella novicida is associated with severe sepsis. Journal of Leukocyte Biology. 86(3). 491–504. 40 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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