Kenna Shaw

46.2k total citations · 1 hit paper
83 papers, 7.9k citations indexed

About

Kenna Shaw is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Kenna Shaw has authored 83 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cancer Research, 29 papers in Oncology and 22 papers in Pathology and Forensic Medicine. Recurrent topics in Kenna Shaw's work include Cancer Genomics and Diagnostics (48 papers), Genetic factors in colorectal cancer (17 papers) and Colorectal Cancer Treatments and Studies (14 papers). Kenna Shaw is often cited by papers focused on Cancer Genomics and Diagnostics (48 papers), Genetic factors in colorectal cancer (17 papers) and Colorectal Cancer Treatments and Studies (14 papers). Kenna Shaw collaborates with scholars based in United States, United Kingdom and Brazil. Kenna Shaw's co-authors include Gordon B. Mills, John N. Weinstein, Joshua M. Stuart, Chris Sander, Ilya Shmulevich, Kyle Ellrott, Brad Ozenberger, Funda Meric‐Bernstam, David S. Hong and Vijaykumar Holla and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Kenna Shaw

75 papers receiving 7.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Cancer Genome Atlas Pan-Cancer analysis project

2013 5.4k citations John N. Weinstein, Gordon B. Mills et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenna Shaw United States	28	4.7k	3.2k	2.3k	1.6k	988	83	7.9k
Craig H. Mermel United States	24	4.5k 1.0×	3.0k 1.0×	2.1k 0.9×	1.8k 1.1×	880 0.9×	31	8.0k
Stefan Fröhling Germany	51	5.6k 1.2×	1.9k 0.6×	2.2k 0.9×	1.3k 0.8×	782 0.8×	210	11.2k
Anke Witteveen Netherlands	10	5.1k 1.1×	3.1k 1.0×	2.7k 1.2×	869 0.5×	642 0.6×	18	8.1k
Angelo Paradiso Italy	45	3.9k 0.8×	2.0k 0.6×	2.9k 1.3×	1.0k 0.7×	652 0.7×	336	7.8k
Phillip G. Febbo United States	38	4.8k 1.0×	2.7k 0.8×	1.9k 0.8×	3.3k 2.1×	477 0.5×	114	8.9k
Sherri R. Davies United States	19	3.0k 0.7×	4.0k 1.3×	3.3k 1.4×	1.0k 0.7×	887 0.9×	36	6.9k
Nicolai J. Birkbak Denmark	31	3.0k 0.6×	2.7k 0.8×	2.8k 1.2×	1.6k 1.0×	655 0.7×	67	7.1k
Sohrab P. Shah Canada	42	3.6k 0.8×	2.4k 0.7×	1.7k 0.7×	639 0.4×	1.3k 1.3×	104	6.4k
Xiaping He United States	26	4.8k 1.0×	4.3k 1.4×	4.1k 1.8×	1.3k 0.8×	581 0.6×	47	8.7k
David Voduc Canada	14	3.1k 0.7×	4.5k 1.4×	4.5k 1.9×	1.6k 1.0×	1.0k 1.0×	20	8.0k

Countries citing papers authored by Kenna Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Kenna Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenna Shaw

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

All Works

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20 of 20 papers shown

Johnson, Amber M., Patrick Kwok‐Shing Ng, Michael Kahle, et al.. (2023). Actionability classification of variants of unknown significance correlates with functional effect. npj Precision Oncology. 7(1). 67–67. 6 indexed citations

Shaw, Kenna, Fengyi Jin, Shannon N. Westin, et al.. (2023). Clinical implications of tumor‐based next‐generation sequencing in high‐grade epithelial ovarian cancer. Cancer. 129(11). 1672–1680. 5 indexed citations

Hendifar, Andrew, Edik M. Blais, Brian M. Wolpin, et al.. (2021). Retrospective Case Series Analysis ofRAFFamily Alterations in Pancreatic Cancer: Real-World Outcomes From Targeted and Standard Therapies. JCO Precision Oncology. 5(5). 1325–1338. 22 indexed citations

Subbiah, Ishwaria M., Loretta A. Williams, Sanjay Shete, et al.. (2021). Real-world patient-reported and clinical outcomes of BNT162b2 mRNA COVID-19 vaccine in patients with cancer.. Journal of Clinical Oncology. 39(15_suppl). 6510–6510. 5 indexed citations

Hussein, Siba El, Kenna Shaw, & Francisco Vega. (2020). Evolving insights into the genomic complexity and immune landscape of diffuse large B-cell lymphoma: opportunities for novel biomarkers. Modern Pathology. 33(12). 2422–2436. 13 indexed citations

Chen, Hu, Jun Li, Yumeng Wang, et al.. (2020). Comprehensive assessment of computational algorithms in predicting cancer driver mutations. Genome biology. 21(1). 43–43. 39 indexed citations

Garmezy, Benjamin, Patrick G. Pilié, Wenyi Wang, et al.. (2020). 77P Clinical characteristics and therapeutic implications of PALB2 variants in patients with advanced solid tumors. Annals of Oncology. 31. S270–S270. 1 indexed citations

Zheng, Siyuan, Kristin Alfaro-Munoz, Wei Wei, et al.. (2019). Prospective Clinical Sequencing of Adult Glioma. Molecular Cancer Therapeutics. 18(5). 991–1000. 15 indexed citations

Hess, Kenneth R., Filip Jankú, Nora Sánchez, et al.. (2019). Cell-free Circulating Tumor DNA Variant Allele Frequency Associates with Survival in Metastatic Cancer. Clinical Cancer Research. 26(8). 1924–1931. 40 indexed citations

10.

Tetzlaff, Michael T., Jonathan L. Curry, Jing Ning, et al.. (2018). Distinct Biological Types of Ocular Adnexal Sebaceous Carcinoma: HPV-Driven and Virus-Negative Tumors Arise through Nonoverlapping Molecular-Genetic Alterations. Clinical Cancer Research. 25(4). 1280–1290. 41 indexed citations

11.

Micheel, Christine, Shawn M. Sweeney, Michele L. Lenoue-Newton, et al.. (2018). American Association for Cancer Research Project Genomics Evidence Neoplasia Information Exchange: From Inception to First Data Release and Beyond—Lessons Learned and Member Institutions’ Perspectives. JCO Clinical Cancer Informatics. 2(2). 1–14. 25 indexed citations

12.

Morris, Van K., Xiayu Rao, Curtis R. Pickering, et al.. (2017). Comprehensive Genomic Profiling of Metastatic Squamous Cell Carcinoma of the Anal Canal. Molecular Cancer Research. 15(11). 1542–1550. 50 indexed citations

13.

Loree, Jonathan M., Allan Andresson Lima Pereira, Michael Lam, et al.. (2017). Classifying Colorectal Cancer by Tumor Location Rather than Sidedness Highlights a Continuum in Mutation Profiles and Consensus Molecular Subtypes. Clinical Cancer Research. 24(5). 1062–1072. 201 indexed citations

14.

Kurnit, Katherine C., Ann M. Bailey, Jia Zeng, et al.. (2017). “Personalized Cancer Therapy”: A Publicly Available Precision Oncology Resource. Cancer Research. 77(21). e123–e126. 29 indexed citations

15.

Sarshekeh, Amir Mehrvarz, Shailesh Advani, Michael J. Overman, et al.. (2017). Association of SMAD4 mutation with patient demographics, tumor characteristics, and clinical outcomes in colorectal cancer. PLoS ONE. 12(3). e0173345–e0173345. 64 indexed citations

16.

Meric‐Bernstam, Funda, Amber M. Johnson, Vijaykumar Holla, et al.. (2015). A Decision Support Framework for Genomically Informed Investigational Cancer Therapy. JNCI Journal of the National Cancer Institute. 107(7). 139 indexed citations

17.

Grubbs, Elizabeth G., Patrick Kwok‐Shing Ng, Naifa L. Busaidy, et al.. (2014). RET Fusion as a Novel Driver of Medullary Thyroid Carcinoma. The Journal of Clinical Endocrinology & Metabolism. 100(3). 788–793. 67 indexed citations

18.

Weinstein, John N., Gordon B. Mills, Kenna Shaw, et al.. (2013). The Cancer Genome Atlas Pan-Cancer analysis project. Nature Genetics. 45(10). 1113–1120. 5399 indexed citations breakdown →

19.

Shaw, Kenna. (2006). ASHG Receives $1.1 Million NSF Grant. The American Journal of Human Genetics. 80(1). 200–200. 1 indexed citations

20.

Shaw, Kenna, Carolyn N. Wrobel, & Joan S. Brugge. (2004). Use of Three-Dimensional Basement Membrane Cultures to Model Oncogene-Induced Changes in Mammary Epithelial Morphogenesis. Journal of Mammary Gland Biology and Neoplasia. 9(4). 297–310. 117 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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