Rachael O’Connor

2.1k total citations · 1 hit paper
19 papers, 1.6k citations indexed

About

Rachael O’Connor is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Rachael O’Connor has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 8 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Rachael O’Connor's work include Sarcoma Diagnosis and Treatment (9 papers), Soft tissue tumor case studies (3 papers) and Advanced MRI Techniques and Applications (3 papers). Rachael O’Connor is often cited by papers focused on Sarcoma Diagnosis and Treatment (9 papers), Soft tissue tumor case studies (3 papers) and Advanced MRI Techniques and Applications (3 papers). Rachael O’Connor collaborates with scholars based in United States, Ireland and Japan. Rachael O’Connor's co-authors include Samuel Singer, Aimeé M. Crago, Penelope DeCarolis, Nicholas D. Socci, Matthew Meyerson, Mara Rosenberg, Juliann Chmielecki, Cristina R. Antonescu, David A. Frank and Daniel Auclair and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Rachael O’Connor

19 papers receiving 1.6k citations

Hit Papers

Whole-exome sequencing identifies a recurrent NAB2-STAT6 ... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Rachael O’Connor
Hilda E. Stambuk United States
Paul B. Gaudin United States
Regula Markwalder Switzerland
Valerie A. Holst United States
Jinwon Seo South Korea
Melinda M. Lewis United States
Attiqa N. Mirza United States
Rachael O’Connor
Citations per year, relative to Rachael O’Connor Rachael O’Connor (= 1×) peers Michelle Alonso‐Basanta

Countries citing papers authored by Rachael O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Rachael O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachael O’Connor. 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 Rachael O’Connor. The network helps show where Rachael O’Connor may publish in the future.

Co-authorship network of co-authors of Rachael O’Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Rachael O’Connor. A scholar is included among the top collaborators of Rachael O’Connor 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 Rachael O’Connor. Rachael O’Connor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Hameed, Meera, Narasimhan P. Agaram, Karissa Whiting, et al.. (2023). PDGFRβ Signaling Cooperates with β-Catenin to Modulate c-Abl and Biologic Behavior of Desmoid-Type Fibromatosis. Clinical Cancer Research. 30(2). 450–461. 1 indexed citations
2.
Okada, Tomoyo, Ann Y. Lee, Li‐Xuan Qin, et al.. (2016). Integrin-α10 Dependency Identifies RAC and RICTOR as Therapeutic Targets in High-Grade Myxofibrosarcoma. Cancer Discovery. 6(10). 1148–1165. 68 indexed citations
3.
Crago, Aimeé M., Juliann Chmielecki, Mara Rosenberg, et al.. (2015). Near universal detection of alterations in CTNNB1 and Wnt pathway regulators in desmoid‐type fibromatosis by whole‐exome sequencing and genomic analysis. Genes Chromosomes and Cancer. 54(10). 606–615. 122 indexed citations
4.
Harmsen, Stefan, Ruimin Huang, Matthew A. Wall, et al.. (2015). Surface-enhanced resonance Raman scattering nanostars for high-precision cancer imaging. Science Translational Medicine. 7(271). 271ra7–271ra7. 240 indexed citations
5.
Kovatcheva, Marta, Mark A. Dickson, Mary E. Klein, et al.. (2015). MDM2 turnover and expression of ATRX determine the choice between quiescence and senescence in response to CDK4 inhibition. Oncotarget. 6(10). 8226–8243. 102 indexed citations
6.
Chmielecki, Juliann, Aimeé M. Crago, Mara Rosenberg, et al.. (2013). Whole-exome sequencing identifies a recurrent NAB2-STAT6 fusion in solitary fibrous tumors. Nature Genetics. 45(2). 131–132. 422 indexed citations breakdown →
7.
Crago, Aimeé M., Nicholas D. Socci, Penelope DeCarolis, et al.. (2012). Copy Number Losses Define Subgroups of Dedifferentiated Liposarcoma with Poor Prognosis and Genomic Instability. Clinical Cancer Research. 18(5). 1334–1340. 57 indexed citations
8.
Gobble, Ryan M., Li‐Xuan Qin, Elliott Brill, et al.. (2011). Expression Profiling of Liposarcoma Yields a Multigene Predictor of Patient Outcome and Identifies Genes That Contribute to Liposarcomagenesis. Cancer Research. 71(7). 2697–2705. 96 indexed citations
9.
Ugras, Stacy, Elliott Brill, Anders J. Skanderup, et al.. (2011). Small RNA Sequencing and Functional Characterization Reveals MicroRNA-143 Tumor Suppressor Activity in Liposarcoma. Cancer Research. 71(17). 5659–5669. 98 indexed citations
10.
Wu, Yuhsin V., Tomoyo Okada, Penelope DeCarolis, et al.. (2011). Restoration of C/EBPα in dedifferentiated liposarcoma induces G2/M cell cycle arrest and apoptosis. Genes Chromosomes and Cancer. 51(4). 313–327. 22 indexed citations
11.
O’Connor, Rachael, et al.. (2011). FOXO1 (Forkhead box O1). Atlas of Genetics and Cytogenetics in Oncology and Haematology. 1 indexed citations
12.
Angeles, Christina V., David Shum, Penelope DeCarolis, et al.. (2010). Identification of selective inhibitors of dedifferentiated liposarcoma cells by high-throughput screening (HTS).. Journal of Clinical Oncology. 28(15_suppl). 10005–10005. 1 indexed citations
13.
Chen, Jinhong, et al.. (2008). Resolution of creatine and phosphocreatine 1H signals in isolated human skeletal muscle using HR‐MAS 1H NMR. Magnetic Resonance in Medicine. 59(6). 1221–1224. 14 indexed citations
14.
Singer, Samuel, Nicholas D. Socci, Grazia Ambrosini, et al.. (2007). Gene Expression Profiling of Liposarcoma Identifies Distinct Biological Types/Subtypes and Potential Therapeutic Targets in Well-Differentiated and Dedifferentiated Liposarcoma. Cancer Research. 67(14). 6626–6636. 189 indexed citations
15.
Chen, Jinhong, Elliot B. Sambol, Penelope DeCarolis, et al.. (2006). High‐resolution MAS NMR spectroscopy detection of the spin magnetization exchange by cross‐relaxation and chemical exchange in intact cell lines and human tissue specimens. Magnetic Resonance in Medicine. 55(6). 1246–1256. 38 indexed citations
16.
Sambol, Elliot B., Grazia Ambrosini, Rula C. Geha, et al.. (2006). Flavopiridol Targets c-KIT Transcription and Induces Apoptosis in Gastrointestinal Stromal Tumor Cells. Cancer Research. 66(11). 5858–5866. 60 indexed citations
17.
Laffan, Eoghan, Rachael O’Connor, Stephanie Ryan, & Veronica Donoghue. (2004). Whole-body magnetic resonance imaging: a useful additional sequence in paediatric imaging. Pediatric Radiology. 34(6). 472–480. 36 indexed citations
18.
Chen, Jinhong, Elliot B. Sambol, Rachael O’Connor, et al.. (2004). Water suppression without signal loss in HR-MAS 1H NMR of cells and tissues. Journal of Magnetic Resonance. 171(1). 143–150. 17 indexed citations
19.
Lopez, Mandi J., et al.. (1977). Clinical value of the tube leukocyte adherence inhibition assay in diagnosis and prognosis of breast cancer.. PubMed. 28. 125–7. 1 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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