Shellaine R. Frazier

662 total citations
30 papers, 469 citations indexed

About

Shellaine R. Frazier is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Shellaine R. Frazier has authored 30 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 6 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Shellaine R. Frazier's work include AI in cancer detection (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer and Skin Lesions (3 papers). Shellaine R. Frazier is often cited by papers focused on AI in cancer detection (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer and Skin Lesions (3 papers). Shellaine R. Frazier collaborates with scholars based in United States, United Kingdom and Canada. Shellaine R. Frazier's co-authors include Timothy S. Loy, Lester J. Layfield, Magda Esebua, Robert L. Schmidt, Robert P. Zitsch, Ilker Ersoy, Zonggao Shi, Richard Hammer, M. Sharon Stack and William V. Stoecker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Obstetrics and Gynecology and American Journal of Clinical Pathology.

In The Last Decade

Shellaine R. Frazier

29 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shellaine R. Frazier United States 14 260 144 132 99 58 30 469
Sathima Natarajan United States 14 119 0.5× 131 0.9× 77 0.6× 98 1.0× 113 1.9× 26 533
Silvia Varricchio Italy 16 205 0.8× 78 0.5× 87 0.7× 215 2.2× 87 1.5× 60 682
L Alasio Italy 13 247 0.9× 237 1.6× 69 0.5× 103 1.0× 64 1.1× 26 550
Kurt Hodges United States 15 171 0.7× 229 1.6× 68 0.5× 178 1.8× 129 2.2× 22 654
Boju Pan China 10 188 0.7× 46 0.3× 41 0.3× 133 1.3× 55 0.9× 33 421
Paula S. Ginter United States 14 342 1.3× 90 0.6× 45 0.3× 117 1.2× 190 3.3× 54 693
Emiko Taniguchi Japan 13 93 0.4× 259 1.8× 319 2.4× 91 0.9× 67 1.2× 32 748
Frédéric Kridelka Belgium 17 252 1.0× 131 0.9× 117 0.9× 220 2.2× 124 2.1× 53 721
Kazuei Hoshi Japan 13 179 0.7× 182 1.3× 35 0.3× 70 0.7× 169 2.9× 28 572
Katrin Bankov Germany 14 189 0.7× 109 0.8× 45 0.3× 129 1.3× 73 1.3× 36 481

Countries citing papers authored by Shellaine R. Frazier

Since Specialization
Citations

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

Fields of papers citing papers by Shellaine R. Frazier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shellaine R. Frazier. 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 Shellaine R. Frazier. The network helps show where Shellaine R. Frazier may publish in the future.

Co-authorship network of co-authors of Shellaine R. Frazier

This figure shows the co-authorship network connecting the top 25 collaborators of Shellaine R. Frazier. A scholar is included among the top collaborators of Shellaine R. Frazier 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 Shellaine R. Frazier. Shellaine R. Frazier 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.
Bao, Rina, Yunxin Zhao, Akhil Srivastava, Shellaine R. Frazier, & Kannappan Palaniappan. (2024). Lightweight SDENet Fusing Model-Based and Learned Features for Computational Histopathology. IEEE Journal of Selected Topics in Signal Processing. 18(6). 1123–1137.
2.
Stanley, R. Joe, William V. Stoecker, L. Rodney Long, et al.. (2020). DeepCIN: Attention-Based Cervical histology Image Classification with Sequential Feature Modeling for Pathologist-Level Accuracy. Journal of Pathology Informatics. 11(1). 40–40. 15 indexed citations
3.
Hagerty, Jason, R. Joe Stanley, William V. Stoecker, et al.. (2020). EpithNet: Deep Regression for Epithelium Segmentation in Cervical Histology Images. Journal of Pathology Informatics. 11(1). 10–10. 14 indexed citations
4.
Layfield, Lester J., et al.. (2017). Impact of Consensus Conference Review on Diagnostic Disagreements in the Evaluation of Cervical Biopsy Specimens. American Journal of Clinical Pathology. 147(5). 473–476. 4 indexed citations
5.
Layfield, Lester J., Shellaine R. Frazier, Magda Esebua, & Robert L. Schmidt. (2016). Interobserver reproducibility for HER2/neu immunohistochemistry: A comparison of reproducibility for the HercepTest™ and the 4B5 antibody clone. Pathology - Research and Practice. 212(3). 190–195. 20 indexed citations
6.
Harrison, Jonathan S., et al.. (2016). Evidence of both von Willebrand factor deposition and factor V deposition onto AL amyloid as the cause of a severe bleeding diathesis. Blood Coagulation & Fibrinolysis. 28(4). 342–347. 4 indexed citations
7.
Layfield, Lester J. & Shellaine R. Frazier. (2016). Quality assurance of anatomic pathology diagnoses: Comparison of alternate approaches. Pathology - Research and Practice. 213(2). 126–129. 2 indexed citations
8.
Wallace, Audrey S., et al.. (2013). Combined small‐cell lung carcinoma: An institutional experience. Thoracic Cancer. 5(1). 57–62. 16 indexed citations
9.
10.
Renner, Gregory J., et al.. (2011). Endometrioid Adenocarcinoma Metastatic to the Thyroid, Presenting Like Anaplastic Thyroid Cancer. SHILAP Revista de lepidopterología. 2011. 1–3. 1 indexed citations
11.
Ghosh, Supurna, Jennifer E. Koblinski, Jeffrey J. Johnson, et al.. (2010). Urinary-Type Plasminogen Activator Receptor/α3β1 Integrin Signaling, Altered Gene Expression, and Oral Tumor Progression. Molecular Cancer Research. 8(2). 145–158. 20 indexed citations
12.
Pettus, Jason R., Jeffrey J. Johnson, Zonggao Shi, et al.. (2009). Multiple kallikrein (KLK 5, 7, 8, and 10) expression in squamous cell carcinoma of the oral cavity.. PubMed. 24(2). 197–207. 36 indexed citations
13.
Sporn, Emanuel, Timothy M. Geiger, D Cleveland, et al.. (2008). Placement of a covered polyester stent prevents complications from a colorectal anastomotic leak and supports healing: Randomized controlled trial in a large animal model. Surgery. 144(5). 786–792. 24 indexed citations
14.
Frazier, Shellaine R., et al.. (2007). The Pathology of Extrapulmonary Small Cell Carcinoma. Seminars in Oncology. 34(1). 30–38. 83 indexed citations
15.
Zitsch, Robert P., et al.. (2007). Carcinosarcoma of the Parotid Gland: Report of a Case with Immunohistochemical Findings. Annals of Otology Rhinology & Laryngology. 116(9). 702–704. 13 indexed citations
16.
Frazier, Shellaine R., et al.. (2006). Bilateral Canalicular Adenoma of the Parotid Gland. Archives of Otolaryngology - Head and Neck Surgery. 132(3). 339–339. 16 indexed citations
17.
Frazier, Shellaine R., et al.. (2005). 1D5 and 6F11: An Immunohistochemical Comparison of Two Monoclonal Antibodies for the Evaluation of Estrogen Receptor Status in Primary Breast Carcinoma. American Journal of Clinical Pathology. 123(2). 276–280. 7 indexed citations
18.
Frazier, Shellaine R., et al.. (2005). 1D5 and 6F11. American Journal of Clinical Pathology. 123(2). 276–280. 21 indexed citations
19.
Brown, James C., et al.. (2003). Congenital Nephrotic Syndrome, Finnish Type. Journal of Ultrasound in Medicine. 22(10). 1097–1099. 5 indexed citations
20.
Frazier, Shellaine R., et al.. (2001). Choroid plexus papilloma with osseous and adipose metaplasia. Annals of Diagnostic Pathology. 5(1). 43–47. 10 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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