Michelle L. Dean

1.4k total citations · 1 hit paper
40 papers, 942 citations indexed

About

Michelle L. Dean is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Michelle L. Dean has authored 40 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 19 papers in Pulmonary and Respiratory Medicine and 13 papers in Molecular Biology. Recurrent topics in Michelle L. Dean's work include Lung Cancer Treatments and Mutations (15 papers), Lung Cancer Research Studies (9 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Michelle L. Dean is often cited by papers focused on Lung Cancer Treatments and Mutations (15 papers), Lung Cancer Research Studies (9 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Michelle L. Dean collaborates with scholars based in Canada, United States and United Kingdom. Michelle L. Dean's co-authors include Anthony M. Magliocco, D. Gwyn Bebb, Susan P. Lees‐Miller, Alexander C. Klimowicz, Prafull Ghatage, Emeka K. Enwere, Martin Köbel, Elizabeth Kornaga, Aliyah Pabani and Christian Brückner and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Michelle L. Dean

38 papers receiving 925 citations

Hit Papers

Immune-Related Adverse Ev... 2024 2026 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle L. Dean Canada 15 526 307 267 106 105 40 942
Dana M. Roque United States 20 480 0.9× 348 1.1× 156 0.6× 134 1.3× 123 1.2× 61 1.1k
Jari Sundström Finland 22 520 1.0× 484 1.6× 295 1.1× 332 3.1× 151 1.4× 49 1.2k
Keun‐Yong Eom South Korea 18 212 0.4× 130 0.4× 280 1.0× 137 1.3× 177 1.7× 76 754
Renquan Lu China 21 405 0.8× 625 2.0× 196 0.7× 343 3.2× 130 1.2× 62 1.2k
Vamsi Parimi United States 17 279 0.5× 375 1.2× 240 0.9× 176 1.7× 195 1.9× 38 918
Bernd Schmid Germany 16 277 0.5× 282 0.9× 62 0.2× 95 0.9× 96 0.9× 39 737
Elaine Hsuen Lim Singapore 21 454 0.9× 454 1.5× 266 1.0× 288 2.7× 81 0.8× 54 1.1k
Catherine A. Shu United States 19 1.0k 2.0× 265 0.9× 1.0k 3.8× 190 1.8× 137 1.3× 64 1.5k
Claudia Andreetta Italy 16 517 1.0× 162 0.5× 205 0.8× 296 2.8× 38 0.4× 41 831
Kenji Unno United States 16 248 0.5× 519 1.7× 175 0.7× 165 1.6× 37 0.4× 22 994

Countries citing papers authored by Michelle L. Dean

Since Specialization
Citations

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

Fields of papers citing papers by Michelle L. Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle L. Dean. 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 Michelle L. Dean. The network helps show where Michelle L. Dean may publish in the future.

Co-authorship network of co-authors of Michelle L. Dean

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle L. Dean. A scholar is included among the top collaborators of Michelle L. Dean 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 Michelle L. Dean. Michelle L. Dean 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
2.
Cook, Sarah, Daniel E. Meyers, Igor Stukalin, et al.. (2024). Immune-Related Adverse Events and Survival Among Patients With Metastatic NSCLC Treated With Immune Checkpoint Inhibitors. JAMA Network Open. 7(1). e2352302–e2352302. 60 indexed citations breakdown →
4.
5.
Dean, Michelle L., et al.. (2024). The Progress Tracker Breast Cancer Registry: Feasibility of a longitudinal patient-led, patient-reported outcomes (PROM) registry.. Journal of Clinical Oncology. 42(16_suppl). e23169–e23169. 1 indexed citations
6.
Martell, Kevin, John B. McIntyre, Tasnima Abedin, et al.. (2023). Prevalence and Prognostic Significance of PIK3CA Mutation and CNV Status and Phosphorylated AKT Expression in Patients With Cervical Cancer Treated With Primary Surgery. International Journal of Gynecological Pathology. 43(2). 158–170. 1 indexed citations
7.
Pabani, Aliyah, et al.. (2023). Real-World Treatment Patterns and Effectiveness of Targeted and Immune Checkpoint Inhibitor-Based Systemic Therapy in BRAF Mutation-Positive NSCLC. JTO Clinical and Research Reports. 4(3). 100460–100460. 7 indexed citations
8.
Ilnytskyy, Yaroslav, John B. McIntyre, Adrijana D’Silva, et al.. (2023). Genome-wide Detection of Chimeric Transcripts in Early-stage Non-small Cell Lung Cancer. Cancer Genomics & Proteomics. 20(5). 417–432. 1 indexed citations
9.
Cheung, Winson Y., Michelle L. Dean, Desirée Hao, et al.. (2022). Real-World Management and Outcomes of Crizotinib-Treated ROS1-Rearranged NSCLC: A Retrospective Canadian Cohort. Current Oncology. 29(3). 1967–1982. 5 indexed citations
10.
Dean, Michelle L., et al.. (2021). Retrospective Real-World Outcomes for Patients With ALK-Rearranged Lung Cancer Receiving ALK Receptor Tyrosine Kinase Inhibitors. JTO Clinical and Research Reports. 2(4). 100157–100157. 14 indexed citations
11.
Fung, Andrea S., Karen Kopciuk, Michelle L. Dean, et al.. (2021). CXCR4 expression in lung carcinogenesis: Evaluating gender-specific differences in survival outcomes based on CXCR4 expression in early stage non-small cell lung cancer patients. PLoS ONE. 16(1). e0241240–e0241240. 6 indexed citations
12.
Lewinson, Ryan T., Daniel E. Meyers, Isabelle A. Vallerand, et al.. (2020). Machine learning for prediction of cutaneous adverse events in patients receiving anti–PD-1 immunotherapy. Journal of the American Academy of Dermatology. 84(1). 183–185. 14 indexed citations
13.
Enwere, Emeka K., Elizabeth Kornaga, Michelle L. Dean, et al.. (2017). Expression of PD-L1 and presence of CD8-positive T cells in pre-treatment specimens of locally advanced cervical cancer. Modern Pathology. 30(4). 577–586. 145 indexed citations
14.
Dean, Michelle L.. (2016). Using Art Media in Psychotherapy. 10 indexed citations
15.
Feng, Xiaolan, Haocheng Li, Michelle L. Dean, et al.. (2015). Low ATM protein expression in malignant tumor as well as cancer-associated stroma are independent prognostic factors in a retrospective study of early-stage hormone-negative breast cancer. Breast Cancer Research. 17(1). 65–65. 32 indexed citations
16.
Dean, Michelle L., et al.. (2013). Applying TLC (a Targeted Learning Community) to Transform Teaching and Learning in Science. 1(3). 5. 1 indexed citations
17.
Klimowicz, Alexander C., Pinaki Bose, Steven C. Nakoneshny, et al.. (2012). Basal Ki67 expression measured by digital image analysis is optimal for prognostication in oral squamous cell carcinoma. European Journal of Cancer. 48(14). 2166–2174. 27 indexed citations
18.
Brockton, Nigel T., Alexander C. Klimowicz, Pinaki Bose, et al.. (2012). High stromal carbonic anhydrase IX expression is associated with nodal metastasis and decreased survival in patients with surgically-treated oral cavity squamous cell carcinoma. Oral Oncology. 48(7). 615–622. 50 indexed citations
20.
Dean, Michelle L., Jason R. Schmink, Nicholas E. Leadbeater, & Christian Brückner. (2008). Microwave-promoted insertion of Group 10 metals into free base porphyrins and chlorins: scope and limitations. Dalton Transactions. 1341–1341. 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.

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