Bradley M. Turner

1.2k total citations
45 papers, 759 citations indexed

About

Bradley M. Turner is a scholar working on Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bradley M. Turner has authored 45 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 21 papers in Cancer Research and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bradley M. Turner's work include HER2/EGFR in Cancer Research (22 papers), Breast Cancer Treatment Studies (19 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). Bradley M. Turner is often cited by papers focused on HER2/EGFR in Cancer Research (22 papers), Breast Cancer Treatment Studies (19 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). Bradley M. Turner collaborates with scholars based in United States, Saudi Arabia and Japan. Bradley M. Turner's co-authors include David G. Hicks, Huina Zhang, Irma M. Sáinz, Junya Fukuoka, Steven S. Shen, Philip T. Cagle, Jaishree Jagirdar, William Audeh, Ioana Moisini and Brian S. Finkelman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Human Pathology and Annals of Surgical Oncology.

In The Last Decade

Bradley M. Turner

43 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bradley M. Turner United States 14 440 287 231 197 146 45 759
Ecaterina E. Dumbrava United States 17 647 1.5× 194 0.7× 171 0.7× 218 1.1× 379 2.6× 115 1.0k
Sophia Frentzas Australia 14 388 0.9× 112 0.4× 92 0.4× 152 0.8× 276 1.9× 65 737
Nadia Pasinetti Italy 13 270 0.6× 160 0.6× 160 0.7× 368 1.9× 133 0.9× 38 809
Sofia Genta Canada 12 434 1.0× 135 0.5× 66 0.3× 139 0.7× 289 2.0× 36 742
Soma Ghosh United States 8 455 1.0× 205 0.7× 56 0.2× 234 1.2× 185 1.3× 12 660
Shelly Seward United States 15 390 0.9× 157 0.5× 144 0.6× 116 0.6× 298 2.0× 34 898
Elena Poddubskaya Russia 16 478 1.1× 236 0.8× 42 0.2× 269 1.4× 312 2.1× 57 846
Shane R. Stecklein United States 16 471 1.1× 356 1.2× 49 0.2× 130 0.7× 374 2.6× 52 934
Shinobu Masuda Japan 16 496 1.1× 412 1.4× 146 0.6× 242 1.2× 220 1.5× 88 933

Countries citing papers authored by Bradley M. Turner

Since Specialization
Citations

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

Fields of papers citing papers by Bradley M. Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley M. Turner. 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 Bradley M. Turner. The network helps show where Bradley M. Turner may publish in the future.

Co-authorship network of co-authors of Bradley M. Turner

This figure shows the co-authorship network connecting the top 25 collaborators of Bradley M. Turner. A scholar is included among the top collaborators of Bradley M. Turner 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 Bradley M. Turner. Bradley M. Turner 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.
Zhang, Huina, et al.. (2024). HER2 evaluation for clinical decision making in human solid tumours: pearls and pitfalls. Histopathology. 85(1). 3–19. 12 indexed citations
2.
Finkelman, Brian S., Bradley M. Turner, Ioana Moisini, et al.. (2024). Performance of HER2 DAKO HercepTest and Ventana 4B5 immunohistochemical assays on detecting HER2 gene-amplification in uterine serous carcinomas. Human Pathology. 148. 51–59. 2 indexed citations
3.
Finkelman, Brian S., Bradley M. Turner, Xi Wang, et al.. (2023). HER2 in uterine serous carcinoma: Current state and clinical perspectives. American Journal of Clinical Pathology. 160(4). 341–351. 4 indexed citations
4.
5.
Finkelman, Brian S., Huina Zhang, David G. Hicks, & Bradley M. Turner. (2023). The Evolution of Ki-67 and Breast Carcinoma: Past Observations, Present Directions, and Future Considerations. Cancers. 15(3). 808–808. 34 indexed citations
6.
Heller, Debra S., Stewart F. Cramer, & Bradley M. Turner. (2023). Abnormal Uterine Involution May Lead to Atony and Postpartum Hemorrhage: A Hypothesis, With Review of the Evidence. Pediatric and Developmental Pathology. 26(5). 429–436. 2 indexed citations
7.
8.
Karakaş, Cansu, Bradley M. Turner, Xi Wang, et al.. (2023). Interobserver and Interantibody Reproducibility of HER2 Immunohistochemical Scoring in an Enriched HER2-Low–Expressing Breast Cancer Cohort. American Journal of Clinical Pathology. 159(5). 484–491. 30 indexed citations
9.
Zhang, Huina, Cansu Karakaş, Bradley M. Turner, et al.. (2022). HER2-low breast cancers: Current insights and future directions. Seminars in Diagnostic Pathology. 39(5). 305–312. 25 indexed citations
10.
Wu, Wencheng, et al.. (2022). Second-Harmonic Generation Imaging Reveals Changes in Breast Tumor Collagen Induced by Neoadjuvant Chemotherapy. Cancers. 14(4). 857–857. 9 indexed citations
11.
Drage, Michael G., Aaron R. Huber, Bradley M. Turner, et al.. (2021). Interobserver agreement in the diagnosis of anal dysplasia: comparison between gastrointestinal and gynaecological pathologists and utility of consensus conferences. Histopathology. 80(4). 648–655. 3 indexed citations
12.
Buza, Natália, Elizabeth D. Euscher, Xavier Matías‐Guiu, et al.. (2021). Reproducibility of scoring criteria for HER2 immunohistochemistry in endometrial serous carcinoma: a multi-institutional interobserver agreement study. Modern Pathology. 34(6). 1194–1202. 35 indexed citations
13.
Zhang, Huina, et al.. (2021). HER2-Low Breast Cancers. American Journal of Clinical Pathology. 157(3). 328–336. 63 indexed citations
14.
Turner, Bradley M., et al.. (2021). Biomarker and multigene assay testing in ER positive, HER-2 negative breast carcinomas: An international guidelines-based approach. SHILAP Revista de lepidopterología. 26. 300574–300574. 7 indexed citations
15.
Zhang, Huina, Ioana Moisini, Bradley M. Turner, et al.. (2020). Significance of HER2 in Microinvasive Breast Carcinoma. American Journal of Clinical Pathology. 156(1). 155–165. 13 indexed citations
16.
Zhang, Huina, et al.. (2020). Applying the New Guidelines of HER2 Testing in Breast Cancer. Current Oncology Reports. 22(5). 51–51. 34 indexed citations
17.
Hill, Robert L., et al.. (2019). Second-harmonic generation directionality is associated with neoadjuvant chemotherapy response in breast cancer core needle biopsies. Journal of Biomedical Optics. 24(8). 1–1. 19 indexed citations
18.
Zhang, Huina, Ioana Moisini, Bradley M. Turner, et al.. (2019). Frequency, Clinicopathologic Characteristics, and Follow-up of HER2-Positive Nonpleomorphic Invasive Lobular Carcinoma of the Breast. American Journal of Clinical Pathology. 153(5). 583–592. 8 indexed citations
19.
Turner, Bradley M., et al.. (2018). Impact of 21-Gene Expression Assay on Staging Estrogen Receptor–Positive HER2-Negative Breast Cancer. Clinical Breast Cancer. 19(1). e261–e269. 3 indexed citations
20.
Turner, Bradley M., Kristin A. Skinner, Ping Tang, et al.. (2015). Use of modified Magee equations and histologic criteria to predict the Oncotype DX recurrence score. Modern Pathology. 28(7). 921–931. 63 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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