Susan J. Done

5.9k total citations
106 papers, 3.2k citations indexed

About

Susan J. Done is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Susan J. Done has authored 106 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 46 papers in Cancer Research and 44 papers in Molecular Biology. Recurrent topics in Susan J. Done's work include Breast Cancer Treatment Studies (21 papers), Cancer Genomics and Diagnostics (20 papers) and Breast Lesions and Carcinomas (16 papers). Susan J. Done is often cited by papers focused on Breast Cancer Treatment Studies (21 papers), Cancer Genomics and Diagnostics (20 papers) and Breast Lesions and Carcinomas (16 papers). Susan J. Done collaborates with scholars based in Canada, United States and United Kingdom. Susan J. Done's co-authors include David R. McCready, Nona Arneson, Raymond M. Reilly, Irene L. Andrulis, Bruce Youngson, Pamela J. Goodwin, Martin C. Chang, Kristin McLarty, Deborah A. Scollard and Wey L. Leong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Molecular Cell.

In The Last Decade

Susan J. Done

103 papers receiving 3.1k citations

Peers

Susan J. Done

ONCOL

RNMI

PFM

Yutaka Yamamoto Japan

Gulisa Turashvili Canada

Yoon‐La Choi South Korea

Bruno Robert France

Wentao Yang China

Abeer M. Shaaban United Kingdom

Andrea Rocca Italy

Rastko Golouh Slovenia

Hartmut Juhl United States

Giulia Viale Italy

Yutaka Yamamoto Japan

Susan J. Done

1.6k ×1.1

1.7k ×1.3

ONCOL

1.7k ×1.5

372 ×0.8

RNMI

407 ×0.9

PFM

Citations per year, relative to Susan J. Done Susan J. Done (= 1×) peers Yutaka Yamamoto

Countries citing papers authored by Susan J. Done

Since Specialization

Citations

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

Fields of papers citing papers by Susan J. Done

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan J. Done

This figure shows the co-authorship network connecting the top 25 collaborators of Susan J. Done. A scholar is included among the top collaborators of Susan J. Done 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 Susan J. Done. Susan J. Done 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

Shibahara, Yukiko, Jan Delabie, Supriya Kulkarni, et al.. (2024). Primary MALT lymphoma of the breast: pathological and radiological characteristics. Breast Cancer Research and Treatment. 205(2). 387–394. 1 indexed citations

Meyer, Julien, Wei Shi, D. Androutsos, et al.. (2024). AI improves accuracy, agreement and efficiency of pathologists for Ki67 assessments in breast cancer. Scientific Reports. 14(1). 22 indexed citations

Murakami, Kiichi, Andrew Elia, Yukiko Shibahara, et al.. (2021). Therapeutic inhibition of USP9x-mediated Notch signaling in triple-negative breast cancer. Proceedings of the National Academy of Sciences. 118(38). 49 indexed citations

Scott, E., et al.. (2020). Cell invasion in digital microfluidic microgel systems. Science Advances. 6(29). eaba9589–eaba9589. 34 indexed citations

Scaranelo, Anabel M., Rachel Fleming, Supriya Kulkarni, et al.. (2020). Cellular fibroepithelial lesions diagnosed on core needle biopsy: Is there any role of clinical‐sonography features helping to differentiate fibroadenomas and phyllodes tumor?. Journal of Surgical Oncology. 122(3). 382–387. 7 indexed citations

Lourenco, Corey, Manpreet Kalkat, Kathleen E. Houlahan, et al.. (2019). Modelling the MYC-driven normal-to-tumour switch in breast cancer. Disease Models & Mechanisms. 12(7). 17 indexed citations

Chiarelli, Anna M., Kristina M. Blackmore, Lucia Mirea, et al.. (2019). Annual vs Biennial Screening: Diagnostic Accuracy Among Concurrent Cohorts Within the Ontario Breast Screening Program. JNCI Journal of the National Cancer Institute. 112(4). 400–409. 14 indexed citations

Chiarelli, Anna M., Kristina M. Blackmore, Derek Muradali, et al.. (2019). Performance Measures of Magnetic Resonance Imaging Plus Mammography in the High Risk Ontario Breast Screening Program. JNCI Journal of the National Cancer Institute. 112(2). 136–144. 56 indexed citations

Lowes, Lori E., Scott V. Bratman, Ryan Dittamore, et al.. (2016). Circulating Tumor Cells (CTC) and Cell-Free DNA (cfDNA) Workshop 2016: Scientific Opportunities and Logistics for Cancer Clinical Trial Incorporation. International Journal of Molecular Sciences. 17(9). 1505–1505. 53 indexed citations

10.

Adams, Jessica R., Jeff C. Liu, Amanda J. Loch, et al.. (2015). Ras Signaling Is a Key Determinant for Metastatic Dissemination and Poor Survival of Luminal Breast Cancer Patients. Cancer Research. 75(22). 4960–4972. 48 indexed citations

11.

Rahbar, Ramtin, Albert Lin, Magar Ghazarian, et al.. (2014). B7-H4 Expression by Nonhematopoietic Cells in the Tumor Microenvironment Promotes Antitumor Immunity. Cancer Immunology Research. 3(2). 184–195. 38 indexed citations

12.

Quail, Daniela F., Logan A. Walsh, Guihua Zhang, et al.. (2012). Embryonic Protein Nodal Promotes Breast Cancer Vascularization. Cancer Research. 72(15). 3851–3863. 34 indexed citations

13.

Cawthorn, Thomas R., Juan Carlos Alvarez Moreno, Moyez Dharsee, et al.. (2012). Proteomic Analyses Reveal High Expression of Decorin and Endoplasmin (HSP90B1) Are Associated with Breast Cancer Metastasis and Decreased Survival. PLoS ONE. 7(2). e30992–e30992. 70 indexed citations

14.

Chattopadhyay, Niladri, Humphrey Fonge, Zhongli Cai, et al.. (2012). Role of Antibody-Mediated Tumor Targeting and Route of Administration in Nanoparticle Tumor Accumulation in Vivo. Molecular Pharmaceutics. 9(8). 2168–2179. 82 indexed citations

15.

Sadi, Al Muktafi, Dong‐Yu Wang, Bruce Youngson, et al.. (2011). Clinical relevance of DNA microarray analyses using archival formalin-fixed paraffin-embedded breast cancer specimens. BMC Cancer. 11(1). 253:1–13. 31 indexed citations

16.

Costantini, Danny L., Kristin McLarty, Helen Lee, et al.. (2010). Antitumor Effects and Normal-Tissue Toxicity of ¹¹¹In-Nuclear Localization Sequence-Trastuzumab in Athymic Mice Bearing HER-Positive Human Breast Cancer Xenografts. Journal of Nuclear Medicine. 51(7). 1084–1091. 61 indexed citations

17.

McLarty, Kristin, Bart Cornelissen, Zhongli Cai, et al.. (2009). Micro-SPECT/CT with ¹¹¹In-DTPA-Pertuzumab Sensitively Detects Trastuzumab-Mediated HER2 Downregulation and Tumor Response in Athymic Mice Bearing MDA-MB-361 Human Breast Cancer Xenografts. Journal of Nuclear Medicine. 50(8). 1340–1348. 58 indexed citations

18.

McLarty, Kristin, Deborah A. Scollard, Susan J. Done, et al.. (2009). ¹⁸F-FDG Small-Animal PET/CT Differentiates Trastuzumab-Responsive from Unresponsive Human Breast Cancer Xenografts in Athymic Mice. Journal of Nuclear Medicine. 50(11). 1848–1856. 33 indexed citations

19.

Iakovlev, Vladimir V., et al.. (2008). Genomic Differences Between Pure Ductal Carcinoma In Situ of the Breast and that Associated with Invasive Disease: a Calibrated aCGH Study. Clinical Cancer Research. 14(14). 4446–4454. 43 indexed citations

20.

McLarty, Kristin, Bart Cornelissen, Deborah A. Scollard, et al.. (2008). Associations between the uptake of 111In-DTPA-trastuzumab, HER2 density and response to trastuzumab (Herceptin) in athymic mice bearing subcutaneous human tumour xenografts. European Journal of Nuclear Medicine and Molecular Imaging. 36(1). 81–93. 103 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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