Sally E. Trabucco

3.1k total citations
24 papers, 652 citations indexed

About

Sally E. Trabucco is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sally E. Trabucco has authored 24 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sally E. Trabucco's work include Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Sally E. Trabucco is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Lung Cancer Treatments and Mutations (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). Sally E. Trabucco collaborates with scholars based in United States, Switzerland and France. Sally E. Trabucco's co-authors include Yahui Kong, Hong Zhang, Rachel M. Gerstein, Garrett M. Frampton, Sophia L. Maund, Andrew M. Evens, Leonard D. Shultz, Hong Zhang, Dale L. Greiner and James E. Bradner and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Sally E. Trabucco

23 papers receiving 644 citations

Peers

Sally E. Trabucco
Jeffrey Chen United States
Sarah J. Aitken United Kingdom
Aytekin Akyol Türkiye
Stefania Zona United Kingdom
Nam-Gyun Kim South Korea
Sally E. Trabucco
Citations per year, relative to Sally E. Trabucco Sally E. Trabucco (= 1×) peers Yasumichi Kuwahara

Countries citing papers authored by Sally E. Trabucco

Since Specialization
Citations

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

Fields of papers citing papers by Sally E. Trabucco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sally E. Trabucco. 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 Sally E. Trabucco. The network helps show where Sally E. Trabucco may publish in the future.

Co-authorship network of co-authors of Sally E. Trabucco

This figure shows the co-authorship network connecting the top 25 collaborators of Sally E. Trabucco. A scholar is included among the top collaborators of Sally E. Trabucco 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 Sally E. Trabucco. Sally E. Trabucco 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.
Mack, Philip C., Gerald Li, Katherine T Lofgren, et al.. (2024). Real-World Clinical Performance of a DNA-Based Comprehensive Genomic Profiling Assay for Detecting Targetable Fusions in Nonsquamous NSCLC. The Oncologist. 29(8). e984–e996. 5 indexed citations
2.
Fellowes, Andrew, Eli Pikarsky, Manuel R. Teixeira, et al.. (2023). 204P Performance assessment of a comprehensive genomic profiling (CGP) NGS kit across multiple study laboratories. Annals of Oncology. 34. S263–S263. 1 indexed citations
3.
Hutchinson, Katherine E., Jessica W. Chen, Heidi Savage, et al.. (2023). Multiple PIK3CA mutation clonality correlates with outcomes in taselisib + fulvestrant-treated ER+/HER2–, PIK3CA-mutated breast cancers. Genome Medicine. 15(1). 28–28. 14 indexed citations
4.
Sokol, Ethan S., Dexter X. Jin, Alexander D. Fine, et al.. (2022). PARP Inhibitor Insensitivity to BRCA1/2 Monoallelic Mutations in Microsatellite Instability-High Cancers. JCO Precision Oncology. 6(6). e2100531–e2100531. 20 indexed citations
5.
Trabucco, Sally E., Ethan Sokol, Sophia L. Maund, et al.. (2021). Prediction and Characterization of Diffuse Large B-Cell Lymphoma Cell-of-Origin Subtypes Using Targeted Sequencing. Future Oncology. 17(31). 4171–4183. 3 indexed citations
6.
Rinaldi, Jacob, Ethan S. Sokol, Ryan J. Hartmaier, et al.. (2020). The genomic landscape of metastatic breast cancer: Insights from 11,000 tumors. PLoS ONE. 15(5). e0231999–e0231999. 32 indexed citations
7.
Fernando, Tharu M., Robert Piskol, Russell Bainer, et al.. (2020). Functional characterization of SMARCA4 variants identified by targeted exome-sequencing of 131,668 cancer patients. Nature Communications. 11(1). 5551–5551. 86 indexed citations
8.
Henneges, Carsten, Dexter X. Jin, Jeffrey M. Venstrom, et al.. (2020). Neoantigens in Patients with De Novo Follicular Lymphoma: Results from the PRIMA Study. Blood. 136(Supplement 1). 25–26. 1 indexed citations
9.
Huang, Richard S.P., James Haberberger, Ethan Sokol, et al.. (2020). Clinicopathologic, genomic and protein expression characterization of 356ROS1fusion driven solid tumors cases. International Journal of Cancer. 148(7). 1778–1788. 15 indexed citations
10.
Trabucco, Sally E., Kyle Gowen, Sophia L. Maund, et al.. (2019). A Novel Next-Generation Sequencing Approach to Detecting Microsatellite Instability and Pan-Tumor Characterization of 1000 Microsatellite Instability–High Cases in 67,000 Patient Samples. Journal of Molecular Diagnostics. 21(6). 1053–1066. 162 indexed citations
11.
Bui, Nam Q., Joanna Przybył, Sally E. Trabucco, et al.. (2019). A clinico-genomic analysis of soft tissue sarcoma patients reveals CDKN2A deletion as a biomarker for poor prognosis. SHILAP Revista de lepidopterología. 9(1). 12–12. 45 indexed citations
12.
Agarwala, Vineeta, Anala Gossai, Gaurav Singal, et al.. (2018). Use of cancer immunotherapies in the real-world in the setting of microsatellite instability.. Journal of Clinical Oncology. 36(5_suppl). 30–30.
13.
Trabucco, Sally E., Ethan Sokol, Jay A. Moore, et al.. (2018). Prediction and Characterization of Diffuse Large B-Cell Lymphoma (DLBCL) Cell of Origin (COO) Subtypes Using Genomic Features from Targeted Next-Generation Sequencing. Blood. 132(Supplement 1). 1561–1561. 1 indexed citations
14.
Ravi, Vinod, Sally E. Trabucco, Mrinal M. Gounder, et al.. (2018). Genomic subtypes of angiosarcoma: A comprehensive genomic profiling (CGP) study.. Journal of Clinical Oncology. 36(15_suppl). 11576–11576. 1 indexed citations
15.
Trabucco, Sally E., Siraj M. Ali, Ethan Sokol, et al.. (2018). Frequency of genomic biomarkers of response to immunotherapy in sarcoma.. Journal of Clinical Oncology. 36(15_suppl). 11579–11579. 5 indexed citations
16.
Trabucco, Sally E. & Hong Zhang. (2016). Finding Shangri-La: Limiting the Impact of Senescence on Aging. Cell stem cell. 18(3). 305–306. 4 indexed citations
17.
Trabucco, Sally E., Rachel M. Gerstein, & Hong Zhang. (2016). YY1 Regulates the Germinal Center Reaction by Inhibiting Apoptosis. The Journal of Immunology. 197(5). 1699–1707. 18 indexed citations
18.
Trabucco, Sally E., Rachel M. Gerstein, Andrew M. Evens, et al.. (2014). Inhibition of Bromodomain Proteins for the Treatment of Human Diffuse Large B-cell Lymphoma. Clinical Cancer Research. 21(1). 113–122. 116 indexed citations
19.
Kong, Yahui, Sally E. Trabucco, & Hong Zhang. (2014). Oxidative Stress, Mitochondrial Dysfunction and the Mitochondria Theory of Aging. PubMed. 39. 86–107. 91 indexed citations
20.
Faienza, Maria Felicia, Lucia Giordani, Angelo Acquafredda, et al.. (2007). 46,XY DSD caused by a rare mutation of the 17-β-hydroxysteroid dehydrogenase type 3 gene. 33(1). 13–16. 7 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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