Cheryl Perkins

6.1k total citations · 4 hit papers
22 papers, 3.6k citations indexed

About

Cheryl Perkins is a scholar working on Cancer Research, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Cheryl Perkins has authored 22 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 5 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Cheryl Perkins's work include Breast Cancer Treatment Studies (6 papers), Virus-based gene therapy research (4 papers) and Breast Lesions and Carcinomas (4 papers). Cheryl Perkins is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Virus-based gene therapy research (4 papers) and Breast Lesions and Carcinomas (4 papers). Cheryl Perkins collaborates with scholars based in United States, Netherlands and United Kingdom. Cheryl Perkins's co-authors include Gary H. Lyman, Armando E. Giuliano, Donald L. Weaver, Mark R. Somerfield, Harold J. Burstein, Donald A. Podoloff, Roderick R. Turner, Hiram S. Cody, James A. Hayman and Stephen B. Edge and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Virology and Journal of General Virology.

In The Last Decade

Cheryl Perkins

18 papers receiving 3.5k citations

Hit Papers

American Society of Clinical Oncology Guideline Recommend... 2005 2026 2012 2019 2005 2014 2015 2017 400 800 1.2k

Peers

Cheryl Perkins
Ira J. Bleiweiss United States
Susan C. Lester United States
I‐Tien Yeh United States
Mary R. Schwartz United States
Kikkeri N. Naresh United Kingdom
G. Bastert Germany
Ira J. Bleiweiss United States
Cheryl Perkins
Citations per year, relative to Cheryl Perkins Cheryl Perkins (= 1×) peers Ira J. Bleiweiss

Countries citing papers authored by Cheryl Perkins

Since Specialization
Citations

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

Fields of papers citing papers by Cheryl Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheryl Perkins

This figure shows the co-authorship network connecting the top 25 collaborators of Cheryl Perkins. A scholar is included among the top collaborators of Cheryl Perkins 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 Cheryl Perkins. Cheryl Perkins 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.
Freedman, Rachel A., Jennifer L. Caswell‐Jin, Michael J. Hassett, et al.. (2024). Optimal Adjuvant Chemotherapy and Targeted Therapy for Early Breast Cancer—Cyclin-Dependent Kinase 4 and 6 Inhibitors: ASCO Guideline Rapid Recommendation Update. Journal of Clinical Oncology. 42(18). 2233–2235. 18 indexed citations
2.
Villano, Jason, et al.. (2024). Comparison of Rodent Infectious Agent Detection by Exhaust Dust Testing and Traditional Sentinel Testing Using Quantitative Polymerase Chain Reaction. Journal of the American Association for Laboratory Animal Science. 63(5). 530–539.
3.
Williams, Wendy R., et al.. (2024). Comparison of Plenum and Cage-level Filter Exhaust Dust PCR Testing to Soiled Bedding Sentinel Mice (Mus musculus) on an IVC Rack. Journal of the American Association for Laboratory Animal Science. 63(3). 279–284.
4.
Perkins, Cheryl, et al.. (2022). Using Filter Media and Soiled Bedding in Disposable Individually Ventilated Cages as a Refinement to Specific Pathogen-free Mouse Health Monitoring Programs. Journal of the American Association for Laboratory Animal Science. 61(4). 361–369. 5 indexed citations
5.
Denduluri, Neelima, Mark R. Somerfield, Mariana Chávez‐MacGregor, et al.. (2020). Selection of Optimal Adjuvant Chemotherapy and Targeted Therapy for Early Breast Cancer: ASCO Guideline Update. Journal of Clinical Oncology. 39(6). 685–693. 76 indexed citations
6.
Baumrucker, Steven J., et al.. (2020). Ethics Roundtable: Distribution of Critical Care Resources in the Setting of a COVID-19 Surge. American Journal of Hospice and Palliative Medicine®. 37(12). 1096–1101. 1 indexed citations
7.
Arbona, Rodolfo J Ricart, Kathleen Daniels, Rui Gardner, et al.. (2020). Mite Burden and Immunophenotypic Response to Demodex musculi in Swiss Webster, BALB/c, C57BL/6, and NSG Mice. Comparative Medicine. 70(4). 336–348.
8.
Lyman, Gary H., Mark R. Somerfield, Linda D. Bosserman, et al.. (2017). Sentinel Lymph Node Biopsy for Patients With Early-Stage Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update. Journal of Clinical Oncology. 35(5). 561–564. 375 indexed citations breakdown →
9.
Henderson, Kenneth S, et al.. (2015). A comparison of mouse parvovirus 1 infection in BALB/c and C57BL/6 mice: susceptibility, replication, shedding, and seroconversion.. PubMed. 65(1). 5–14. 13 indexed citations
10.
Smith, Thomas J., Kari Bohlke, Gary H. Lyman, et al.. (2015). Recommendations for the Use of WBC Growth Factors: American Society of Clinical Oncology Clinical Practice Guideline Update. Journal of Clinical Oncology. 33(28). 3199–3212. 589 indexed citations breakdown →
11.
Lyman, Gary H., Sarah Temin, Stephen B. Edge, et al.. (2014). Sentinel Lymph Node Biopsy for Patients With Early-Stage Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update. Journal of Clinical Oncology. 32(13). 1365–1383. 762 indexed citations breakdown →
12.
Elftman, Michael D., Mariam B. Gonzalez-Hernandez, Nobuhiko Kamada, et al.. (2013). Multiple effects of dendritic cell depletion on murine norovirus infection. Journal of General Virology. 94(8). 1761–1768. 18 indexed citations
13.
Pate, Kelly A. Metcalf, et al.. (2013). Evaluation of diagnostic methods for Myocoptes musculinus according to age and treatment status of mice (Mus musculus).. PubMed. 52(6). 773–81. 10 indexed citations
14.
Henderson, Kenneth S, et al.. (2013). Efficacy of direct detection of pathogens in naturally infected mice by using a high-density PCR array.. PubMed. 52(6). 763–72. 33 indexed citations
15.
Taube, Stefan, et al.. (2012). Murine Noroviruses Bind Glycolipid and Glycoprotein Attachment Receptors in a Strain-Dependent Manner. Journal of Virology. 86(10). 5584–5593. 63 indexed citations
16.
Perkins, Cheryl, et al.. (2007). Why Current Breast Pathology Practices Must Be Evaluated. A Susan G. Komen for the Cure White Paper: June 2006. The Breast Journal. 13(5). 443–447. 19 indexed citations
18.
Lyman, Gary H., Armando E. Giuliano, Mark R. Somerfield, et al.. (2005). American Society of Clinical Oncology Guideline Recommendations for Sentinel Lymph Node Biopsy in Early-Stage Breast Cancer. Journal of Clinical Oncology. 23(30). 7703–7720. 1364 indexed citations breakdown →
20.
Perkins, Cheryl, et al.. (2001). Pretreatment with paclitaxel enhances apo-2 ligand/tumor necrosis factor-related apoptosis-inducing ligand-induced apoptosis of prostate cancer cells by inducing death receptors 4 and 5 protein levels.. PubMed. 61(2). 759–63. 174 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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