Casey Frankenberger

2.0k total citations
22 papers, 1.4k citations indexed

About

Casey Frankenberger is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Casey Frankenberger has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Oncology. Recurrent topics in Casey Frankenberger's work include Melanoma and MAPK Pathways (5 papers), Cancer Mechanisms and Therapy (4 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Casey Frankenberger is often cited by papers focused on Melanoma and MAPK Pathways (5 papers), Cancer Mechanisms and Therapy (4 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Casey Frankenberger collaborates with scholars based in United States, Chile and United Kingdom. Casey Frankenberger's co-authors include Marsha Rich Rosner, Devipriya Sankarasharma, Kiran Chada, Jason W. Locasale, Miao Sun, Jieun Yun, Daniel C. Rabe, Gregory S. Karczmar, Joseph R. Sachleben and Kay F. Macleod and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Casey Frankenberger

20 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Casey Frankenberger United States 12 1.0k 439 256 217 145 22 1.4k
Wen‐Ying Lee Taiwan 22 600 0.6× 334 0.8× 323 1.3× 113 0.5× 103 0.7× 56 1.3k
Yan Xiang China 14 832 0.8× 614 1.4× 239 0.9× 158 0.7× 136 0.9× 31 1.4k
Hongling Peng China 24 885 0.9× 470 1.1× 404 1.6× 97 0.4× 217 1.5× 117 1.7k
Jieqing Chen China 16 602 0.6× 371 0.8× 532 2.1× 192 0.9× 314 2.2× 42 1.3k
Zherui Wu China 18 749 0.7× 365 0.8× 395 1.5× 165 0.8× 237 1.6× 26 1.4k
Patrícia A. Madureira Portugal 21 1.1k 1.1× 512 1.2× 293 1.1× 85 0.4× 295 2.0× 29 1.7k
Noel A. Warfel United States 21 1.0k 1.0× 375 0.9× 557 2.2× 169 0.8× 113 0.8× 39 1.7k
Douglas C. Marchion United States 23 1.8k 1.7× 253 0.6× 609 2.4× 143 0.7× 156 1.1× 66 2.3k
Ying Zheng China 21 556 0.5× 233 0.5× 166 0.6× 85 0.4× 152 1.0× 43 1.1k
Weibin Wang China 21 758 0.7× 575 1.3× 502 2.0× 230 1.1× 149 1.0× 86 1.5k

Countries citing papers authored by Casey Frankenberger

Since Specialization
Citations

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

Fields of papers citing papers by Casey Frankenberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Casey Frankenberger

This figure shows the co-authorship network connecting the top 25 collaborators of Casey Frankenberger. A scholar is included among the top collaborators of Casey Frankenberger 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 Casey Frankenberger. Casey Frankenberger 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.
Yesilkanal, Ali E., Dongbo Yang, Payal Tiwari, et al.. (2021). Limited inhibition of multiple nodes in a driver network blocks metastasis. eLife. 10. 19 indexed citations
2.
Gottlieb, Michael, Sarah E. Sansom, Casey Frankenberger, Edward Ward, & Bala Hota. (2020). Clinical Course and Factors Associated With Hospitalization and Critical Illness Among COVID‐19 Patients in Chicago, Illinois. Academic Emergency Medicine. 27(10). 963–973. 79 indexed citations
3.
Lee, Ji‐Young, Ali E. Yesilkanal, Joseph Wynne, et al.. (2019). Effective breast cancer combination therapy targeting BACH1 and mitochondrial metabolism. Nature. 568(7751). 254–258. 260 indexed citations
4.
Fidler, Mary J., Casey Frankenberger, Cristina Fhied, et al.. (2017). Differential expression of circulating biomarkers of tumor phenotype and outcomes in previously treated non-small cell lung cancer patients receiving erlotinib vs. cytotoxic chemotherapy. Oncotarget. 8(35). 58108–58121. 9 indexed citations
5.
Bainer, Russell, Casey Frankenberger, Daniel C. Rabe, et al.. (2016). Gene expression in local stroma reflects breast tumor states and predicts patient outcome. Scientific Reports. 6(1). 39240–39240. 8 indexed citations
6.
Frankenberger, Casey, Daniel C. Rabe, Russell Bainer, et al.. (2015). Metastasis Suppressors Regulate the Tumor Microenvironment by Blocking Recruitment of Prometastatic Tumor-Associated Macrophages. Cancer Research. 75(19). 4063–4073. 108 indexed citations
7.
Chourasia, Aparajita H., Kristin Tracy, Casey Frankenberger, et al.. (2015). Mitophagy defects arising from BNip3 loss promote mammary tumor progression to metastasis. EMBO Reports. 16(9). 1145–1163. 260 indexed citations
8.
Yesilkanal, Ali E., Casey Frankenberger, Daniel C. Rabe, Gary L. Johnson, & Marsha Rich Rosner. (2015). Abstract 3251: Regulation of TNBC kinome by the metastasis suppressor Raf kinase inhibitory protein (RKIP). Cancer Research. 75(15_Supplement). 3251–3251.
9.
10.
Lee, Jiyoung, Jin‐Ho Lee, Jieun Yun, et al.. (2014). Network of mutually repressive metastasis regulators can promote cell heterogeneity and metastatic transitions. Proceedings of the National Academy of Sciences. 111(3). E364–73. 103 indexed citations
11.
Sun, Miao, Sílvia Gomes, Poshen B. Chen, et al.. (2013). RKIP and HMGA2 regulate breast tumor survival and metastasis through lysyl oxidase and syndecan-2. Oncogene. 33(27). 3528–3537. 75 indexed citations
12.
Frankenberger, Casey, Jieun Yun, Elena Bevilacqua, et al.. (2013). A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients. PLoS ONE. 8(12). e82125–e82125. 42 indexed citations
13.
Sun, Miao, Chun‐Xiao Song, Hao Huang, et al.. (2013). HMGA2/TET1/HOXA9 signaling pathway regulates breast cancer growth and metastasis. Proceedings of the National Academy of Sciences. 110(24). 9920–9925. 224 indexed citations
14.
Zhou, Donghui, Jiyoung Lee, Casey Frankenberger, et al.. (2012). Anti-tumor effects of an engineered “killer” transfer RNA. Biochemical and Biophysical Research Communications. 427(1). 148–153. 10 indexed citations
15.
Yun, Jieun, Casey Frankenberger, Wen-Liang Kuo, et al.. (2011). Signalling pathway for RKIP and Let‐7 regulates and predicts metastatic breast cancer. The EMBO Journal. 30(21). 4500–4514. 167 indexed citations
16.
Borgia, Jeffrey A., Casey Frankenberger, S. E. McCormack, et al.. (2007). Serum biomarker discovery for ovarian serous carcinoma using novel proteomic methods. Journal of Clinical Oncology. 25(18_suppl). 16058–16058. 1 indexed citations
17.
Frankenberger, Casey, et al.. (2006). WebaCGH. PubMed. 5(2). 125–130. 5 indexed citations
18.
19.
Tsang, Shirley, Zhonghe Sun, Claudia Stewart, et al.. (2004). Development of multiplex DNA electronic microarrays using a universal adaptor system for detection of single nucleotide polymorphisms. BioTechniques. 36(4). 682–688. 3 indexed citations
20.
Cherry, James M., Claudia Stewart, Casey Frankenberger, et al.. (2004). Automated Process of Q-PCR/Gene Expression. JALA Journal of the Association for Laboratory Automation. 9(3). 128–134. 4 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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