Sarah J. Kurley

2.3k total citations
25 papers, 514 citations indexed

About

Sarah J. Kurley is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Sarah J. Kurley has authored 25 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 15 papers in Epidemiology and 11 papers in Molecular Biology. Recurrent topics in Sarah J. Kurley's work include Nonmelanoma Skin Cancer Studies (15 papers), Cutaneous Melanoma Detection and Management (15 papers) and CAR-T cell therapy research (8 papers). Sarah J. Kurley is often cited by papers focused on Nonmelanoma Skin Cancer Studies (15 papers), Cutaneous Melanoma Detection and Management (15 papers) and CAR-T cell therapy research (8 papers). Sarah J. Kurley collaborates with scholars based in United States, Spain and Switzerland. Sarah J. Kurley's co-authors include Joanna E. Burdette, Teresa K. Woodruff, Robert W. Cook, Eun Jig Lee, Jacqueline S. Jeruss, Brian Gastman, Kyle R. Covington, Aaron S. Farberg, John T. Vetto and Pedram Gerami and has published in prestigious journals such as Journal of Clinical Oncology, Development and Cancer Research.

In The Last Decade

Sarah J. Kurley

25 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah J. Kurley United States	12	322	277	161	104	61	25	514
Brooke Middlebrook United States	11	229 0.7×	276 1.0×	68 0.4×	35 0.3×	71 1.2×	16	451
D. Guerry United States	8	352 1.1×	100 0.4×	144 0.9×	121 1.2×	52 0.9×	11	398
Junji Koya Japan	13	89 0.3×	291 1.1×	92 0.6×	22 0.2×	49 0.8×	35	523
Jane Humphreys United Kingdom	8	213 0.7×	133 0.5×	36 0.2×	16 0.2×	127 2.1×	10	402
Kristine Jacobson United States	8	324 1.0×	339 1.2×	33 0.2×	41 0.4×	75 1.2×	13	569
Knud Søndergaard Denmark	9	211 0.7×	81 0.3×	51 0.3×	111 1.1×	66 1.1×	16	318
Bos Jl Netherlands	10	118 0.4×	256 0.9×	17 0.1×	47 0.5×	41 0.7×	13	390
Doris Y. Chih United States	8	108 0.3×	317 1.1×	75 0.5×	11 0.1×	177 2.9×	10	534
P.E.J. de Wit Netherlands	10	195 0.6×	88 0.3×	40 0.2×	54 0.5×	21 0.3×	12	321
Lennart Krysander Sweden	11	504 1.6×	177 0.6×	157 1.0×	71 0.7×	231 3.8×	19	627

Countries citing papers authored by Sarah J. Kurley

Since Specialization

Citations

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

Fields of papers citing papers by Sarah J. Kurley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah J. Kurley. 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 Sarah J. Kurley. The network helps show where Sarah J. Kurley may publish in the future.

Co-authorship network of co-authors of Sarah J. Kurley

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cai, Wesley L., Huacui Chen, Sarah J. Kurley, et al.. (2022). Human WDR5 promotes breast cancer growth and metastasis via KMT2-independent translation regulation. eLife. 11. 14 indexed citations

Jarell, Abel, Brian Gastman, Eddy C. Hsueh, et al.. (2022). Optimizing treatment approaches for patients with cutaneous melanoma by integrating clinical and pathologic features with the 31-gene expression profile test. Journal of the American Academy of Dermatology. 87(6). 1312–1320. 23 indexed citations

Borman, Sherri, Jeff Wilkinson, Clare Johnson, et al.. (2022). Analytical validity of DecisionDx-SCC, a gene expression profile test to identify risk of metastasis in cutaneous squamous cell carcinoma (SCC) patients. Diagnostic Pathology. 17(1). 32–32. 5 indexed citations

Farberg, Aaron S., Alison L. Fitzgerald, Sherrif F. Ibrahim, et al.. (2022). Current Methods and Caveats to Risk Factor Assessment in Cutaneous Squamous Cell Carcinoma (cSCC): A Narrative Review. Dermatology and Therapy. 12(2). 267–284. 22 indexed citations

Farberg, Aaron S., Alison L. Fitzgerald, Jennifer J. Siegel, et al.. (2022). Real-World Evidence Shows Clinicians Appropriately Use the Prognostic 40-Gene Expression Profile (40-GEP) Test for High-Risk Cutaneous Squamous Cell Carcinoma (cSCC) Patients. Cancer Investigation. 40(10). 911–922. 11 indexed citations

Ibrahim, Sherrif F., Mary A. Hall, Alison L. Fitzgerald, et al.. (2021). Enhanced Metastatic Risk Assessment in Cutaneous Squamous Cell Carcinoma with the 40-Gene Expression Profile Test. Future Oncology. 18(7). 833–847. 27 indexed citations

Ibrahim, Sherrif F., Sarah T. Arron, Ally‐Khan Somani, et al.. (2021). 25726 Prospective adjuvant therapy trial design using a prognostic 40-gene expression profile (40-GEP) test for high-risk cutaneous squamous cell carcinoma (cSCC) and BWH staging-based risk assessment. Journal of the American Academy of Dermatology. 85(3). AB67–AB67. 1 indexed citations

Koyfman, Shlomo A., Ashley Wysong, Sarah T. Arron, et al.. (2021). Improved risk stratification in an adjuvant radiation therapy (ART) eligible cutaneous squamous cell carcinoma (cSCC) patient population by integration of the 40-gene expression profile prognostic test (40-GEP).. Journal of Clinical Oncology. 39(15_suppl). e21589–e21589. 1 indexed citations

Kurley, Sarah J., Verena Tischler, Brian Bierie, et al.. (2020). A Requirement for p120-catenin in the metastasis of invasive ductal breast cancer. Journal of Cell Science. 134(6). 5 indexed citations

10.

Covington, Kyle R., Sarah J. Kurley, Robert W. Cook, et al.. (2020). Reply to Problematic methodology in a systematic review and meta-analysis of DecisionDx-Melanoma. Journal of the American Academy of Dermatology. 83(5). e359–e360. 1 indexed citations

11.

Covington, Kyle R., Sarah J. Kurley, Robert W. Cook, et al.. (2020). Molecular risk prediction in cutaneous melanoma: A meta-analysis of the 31-gene expression profile prognostic test in 1,479 patients. Journal of the American Academy of Dermatology. 83(3). 745–753. 55 indexed citations

12.

Farberg, Aaron S., Mary A. Hall, Kyle R. Covington, et al.. (2020). Integrating gene expression profiling into NCCN high-risk cutaneous squamous cell carcinoma management recommendations: impact on patient management. Current Medical Research and Opinion. 36(8). 1301–1307. 22 indexed citations

13.

Fitzgerald, Alison L., et al.. (2020). Impact of a prognostic 40-gene expression profiling test on clinical management decisions for high-risk cutaneous squamous cell carcinoma. Current Medical Research and Opinion. 36(8). 1295–1300. 16 indexed citations

14.

Schmults, Chrysalyne D., Kyle R. Covington, Sarah J. Kurley, & Robert W. Cook. (2020). Implications of a prognostic 40-gene expression profile (40-GEP) test for high-risk cutaneous squamous cell carcinoma (cSCC) on staging-based risk assessment and adjuvant therapy trial design.. Journal of Clinical Oncology. 38(15_suppl). e22091–e22091. 1 indexed citations

15.

Covington, Kyle R., Sarah J. Kurley, Jeffrey Wilkinson, et al.. (2019). 841 Clinical experience with a next-generation sequencing (NGS) test for BRAF and NRAS mutations along with gene expression profiling (GEP) in cutaneous melanoma (CM). Journal of Investigative Dermatology. 139(5). S145–S145. 1 indexed citations

16.

Caruso, Hillary G., et al.. (2019). Establishing an evidence-based decision point for clinical use of the 31-gene expression profile test in cutaneous melanoma. SKIN The Journal of Cutaneous Medicine. 3(4). 239–249. 6 indexed citations

17.

Monzon, Federico A., et al.. (2019). Economic impact of the 31-gene expression profile test in the Medicare-eligible population with cutaneous melanoma.. Journal of Clinical Oncology. 37(15_suppl). 6630–6630. 4 indexed citations

18.

Gastman, Brian, Pedram Gerami, Sarah J. Kurley, et al.. (2018). Identification of patients at risk of metastasis using a prognostic 31-gene expression profile in subpopulations of melanoma patients with favorable outcomes by standard criteria. Journal of the American Academy of Dermatology. 80(1). 149–157.e4. 68 indexed citations

19.

Kurley, Sarah J., Brian Bierie, Robert H. Carnahan, et al.. (2012). p120-catenin is essential for terminal end bud function and mammary morphogenesis. Development. 139(10). 1754–1764. 39 indexed citations

20.

Burdette, Joanna E., Sarah J. Kurley, Signe M. Kilen, Kelly E. Mayo, & Teresa K. Woodruff. (2006). Gonadotropin-Induced Superovulation Drives Ovarian Surface Epithelia Proliferation in CD1 Mice. Endocrinology. 147(5). 2338–2345. 48 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.

Explore authors with similar magnitude of impact