Carla Penner

934 total citations
18 papers, 732 citations indexed

About

Carla Penner is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Carla Penner has authored 18 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Genetics. Recurrent topics in Carla Penner's work include Estrogen and related hormone effects (6 papers), RNA Research and Splicing (5 papers) and Barrier Structure and Function Studies (4 papers). Carla Penner is often cited by papers focused on Estrogen and related hormone effects (6 papers), RNA Research and Splicing (5 papers) and Barrier Structure and Function Studies (4 papers). Carla Penner collaborates with scholars based in Canada, United States and Ukraine. Carla Penner's co-authors include Leigh C. Murphy, Etienne Leygue, Yvonne Myal, Peter H. Watson, Anne Blanchard, Beverly Wang, Margaret Brandwein‐Gensler, Keith S. Heller, Nicolas F. Schlecht and Abdissa Negassa and has published in prestigious journals such as PLoS ONE, Cancer Research and Annals of Oncology.

In The Last Decade

Carla Penner

16 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carla Penner Canada 12 309 269 268 193 176 18 732
H Chapuis France 11 127 0.4× 119 0.4× 63 0.2× 251 1.3× 79 0.4× 25 528
M F Mastik Netherlands 12 130 0.4× 52 0.2× 93 0.3× 210 1.1× 146 0.8× 14 417
Johannes Doescher Germany 14 248 0.8× 149 0.6× 112 0.4× 109 0.6× 54 0.3× 44 488
T. Shibahara Japan 13 114 0.4× 129 0.5× 132 0.5× 246 1.3× 78 0.4× 26 556
Jonathan H. Law United States 6 230 0.7× 50 0.2× 101 0.4× 184 1.0× 95 0.5× 7 439
Hari Prasad Dhakal Norway 13 150 0.5× 99 0.4× 48 0.2× 203 1.1× 125 0.7× 32 447
Íris Sawazaki‐Calone Brazil 12 159 0.5× 72 0.3× 189 0.7× 133 0.7× 99 0.6× 14 509
Naohisa Oku Japan 6 126 0.4× 35 0.1× 16 0.1× 204 1.1× 153 0.9× 16 399
Fátima Solange Pasini Brazil 13 165 0.5× 35 0.1× 17 0.1× 223 1.2× 157 0.9× 31 444
Itaru Sonoda Japan 9 153 0.5× 105 0.4× 93 0.3× 321 1.7× 103 0.6× 20 528

Countries citing papers authored by Carla Penner

Since Specialization
Citations

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

Fields of papers citing papers by Carla Penner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Penner

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

All Works

18 of 18 papers shown
1.
Mehrad, Mitra, Kim Ely, Jen‐Fan Hang, et al.. (2025). Condylomatous Sinonasal Papilloma—A Distinct (Fourth) Subtype That is Commonly Associated With Low-risk Human Papillomavirus. The American Journal of Surgical Pathology. 49(9). 873–881.
2.
Neppalli, Vishala T., et al.. (2021). Multiple painful ulcerated lesions in a 73-year-old patient. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 133(1). 3–7.
3.
Blanchard, Anne, Xiuli Ma, Nan Wang, et al.. (2019). Claudin 1 Is Highly Upregulated by PKC in MCF7 Human Breast Cancer Cells and Correlates Positively with PKCε in Patient Biopsies. Translational Oncology. 12(3). 561–575. 18 indexed citations
4.
Guillaud, Martial, Calum MacAulay, Kenneth W. Berean, et al.. (2018). Using quantitative tissue phenotype to assess the margins of surgical samples from a pan‐Canadian surgery study. Head & Neck. 40(6). 1263–1270. 1 indexed citations
5.
Blanchard, Anne, Teresa Zelinski, Jiuyong Xie, et al.. (2016). Identification of Claudin 1 Transcript Variants in Human Invasive Breast Cancer. PLoS ONE. 11(9). e0163387–e0163387. 11 indexed citations
6.
Shrivastav, Anuraag, M. Christine Bruce, Carla Penner, et al.. (2014). The mechanistic target for rapamycin pathway is related to the phosphorylation score for estrogen receptor-α in human breast tumors in vivo. Breast Cancer Research. 16(3). R49–R49. 17 indexed citations
7.
8.
Thompson, Lester D.�R., Carla Penner, Ngoc J. Ho, et al.. (2013). Sinonasal Tract and Nasopharyngeal Adenoid Cystic Carcinoma: A Clinicopathologic and Immunophenotypic Study of 86 Cases. Head and Neck Pathology. 8(1). 88–109. 64 indexed citations
9.
Yan, Yi, Carla Penner, G. Skliris, et al.. (2013). Steroid receptor RNA activator protein (SRAP) expression as a prognostic factor in ER+ human breast tumors. Journal of Cancer Research and Clinical Oncology. 139(10). 1637–1647. 10 indexed citations
10.
Blanchard, Anne, Xiuli Ma, Carla Penner, et al.. (2013). Claudin 1 expression in basal-like breast cancer is related to patient age. BMC Cancer. 13(1). 268–268. 38 indexed citations
11.
Li, Yufeng, Shuting Bai, William R. Carroll, et al.. (2012). Validation of the Risk Model: High-Risk Classification and Tumor Pattern of Invasion Predict Outcome for Patients with Low-Stage Oral Cavity Squamous Cell Carcinoma. Head and Neck Pathology. 7(3). 211–223. 135 indexed citations
12.
Brandwein‐Gensler, Margaret, Richard V. Smith, Beverly Wang, et al.. (2010). Validation of the Histologic Risk Model in a New Cohort of Patients With Head and Neck Squamous Cell Carcinoma. The American Journal of Surgical Pathology. 34(5). 676–688. 180 indexed citations
13.
Murphy, Leigh C., Georgios Skliris, Brian G. Rowan, et al.. (2009). The relevance of phosphorylated forms of estrogen receptor in human breast cancer in vivo. The Journal of Steroid Biochemistry and Molecular Biology. 114(1-2). 90–95. 28 indexed citations
14.
Yan, Yi, G. Skliris, Carla Penner, et al.. (2009). Steroid Receptor RNA Activator Protein (SRAP): a potential new prognostic marker for estrogen receptor-positive/node-negative/younger breast cancer patients. Breast Cancer Research. 11(5). R67–R67. 26 indexed citations
15.
Blanchard, Anne, G. Skliris, Peter H. Watson, et al.. (2009). Claudins 1, 3, and 4 protein expression in ER negative breast cancer correlates with markers of the basal phenotype. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 454(6). 647–656. 79 indexed citations
16.
Yan, Yi, G. Skliris, Carla Penner, et al.. (2009). Steroid Receptor RNA Activator Protein (SRAP): A Potential New Prognostic Marker for Estrogen Receptor-Positive/Node-Negative/Younger Breast Cancer Patients.. Cancer Research. 69(24_Supplement). 2017–2017. 1 indexed citations
17.
Skliris, G., Florent Hubé, Mark M. Mutawe, et al.. (2008). Expression of small breast epithelial mucin (SBEM) protein in tissue microarrays (TMAs) of primary invasive breast cancers. Histopathology. 52(3). 355–369. 32 indexed citations
18.
Pathak, Kumar Alok, et al.. (2008). Impact of use of frozen section assessment of operative margins on survival in oral cancer. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 107(2). 235–239. 47 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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